diff --git a/mcp_servers/local/fetch_url/.gitignore b/mcp_servers/local/fetch_url/.gitignore new file mode 100644 index 00000000..f27efed2 --- /dev/null +++ b/mcp_servers/local/fetch_url/.gitignore @@ -0,0 +1,43 @@ +node_modules +# Build output +dist +build + +# Dependencies +node_modules +.pnp +.pnp.js + +# Testing +coverage +.nyc_output + +# IDE and editor files +.idea +.vscode +*.swp +*.swo +.DS_Store + +# Environment variables +.env +.env.local +.env.*.local + +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# Cache directories +.npm +.eslintcache + +# pnpm specific +.pnp.* +.pnpm-store/ +.pnpm-debug.log + +**/**.DS_Store diff --git a/mcp_servers/local/fetch_url/Dockerfile b/mcp_servers/local/fetch_url/Dockerfile new file mode 100644 index 00000000..6a2f5f24 --- /dev/null +++ b/mcp_servers/local/fetch_url/Dockerfile @@ -0,0 +1,36 @@ +# Use a Node.js image as the base for building the application +FROM node:22-alpine AS builder + +# Set the working directory inside the container +WORKDIR /app + +# Copy package.json and package-lock.json to install dependencies +COPY mcp_servers/fetch_url/package.json mcp_servers/fetch_url/package-lock.json ./ + +# Install dependencies (ignoring scripts to prevent running the prepare script) +RUN npm install --ignore-scripts + +# Copy the rest of the application source code +COPY mcp_servers/fetch_url . + +# Build the application using TypeScript +RUN npm run build + +# Use a smaller Node.js image for the final image +FROM node:22-slim AS release + +# Set the working directory inside the container +WORKDIR /app + +# Copy the built application from the builder stage +COPY --from=builder /app/dist /app/dist +COPY --from=builder /app/package.json /app/package.json +COPY --from=builder /app/package-lock.json /app/package-lock.json + +# Install only production dependencies +RUN npm ci --omit=dev --ignore-scripts + +EXPOSE 8000 + +# Specify the command to run the application +ENTRYPOINT ["node", "dist/index.js"] diff --git a/mcp_servers/local/fetch_url/LICENSE b/mcp_servers/local/fetch_url/LICENSE new file mode 100644 index 00000000..e880b561 --- /dev/null +++ b/mcp_servers/local/fetch_url/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2024 Tokenizin Technology Agency + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/mcp_servers/local/fetch_url/README.md b/mcp_servers/local/fetch_url/README.md new file mode 100644 index 00000000..39ce8adb --- /dev/null +++ b/mcp_servers/local/fetch_url/README.md @@ -0,0 +1,99 @@ +# MCP NPX Fetch + +A HTTP transportation version of https://github.com/tokenizin-agency/mcp-npx-fetch. It's a MCP server that will fetch url and covert to the following format: HTML, Text, Markdown, JSON + +## 💻 Local Development + +1. Install dependencies: + +```bash +npm install +``` + +2. Start local deployment + +```bash +npm run build +npm start +``` + +3. Get MCP http URL + +The MCP should be hosted at `http://localhost:8000/mcp`. + +## 🐳 Docker Deployment + +1. Build the Docker image (from the repository root): + +```bash +docker build -f mcp_servers/fetch_url/Dockerfile -t fetch-url-mcp . +``` + +2. Run the container: + +```bash +docker run -p 8000:8000 fetch-url-mcp +``` + +3. Access the MCP server at `http://localhost:8000/mcp` + + +## 📚 Documentation + +### Available Tools + +#### `fetch_html` + +Fetches and returns raw HTML content from any URL. + +```typescript +{ + url: string; // Required: Target URL + headers?: { // Optional: Custom request headers + [key: string]: string; + }; +} +``` + +#### `fetch_json` + +Fetches and parses JSON data from any URL. + +```typescript +{ + url: string; // Required: Target URL + headers?: { // Optional: Custom request headers + [key: string]: string; + }; +} +``` + +#### `fetch_txt` + +Fetches and returns clean plain text content, removing HTML tags and scripts. + +```typescript +{ + url: string; // Required: Target URL + headers?: { // Optional: Custom request headers + [key: string]: string; + }; +} +``` + +#### `fetch_markdown` + +Fetches content and converts it to well-formatted Markdown. + +```typescript +{ + url: string; // Required: Target URL + headers?: { // Optional: Custom request headers + [key: string]: string; + }; +} +``` + +## 📄 License + +This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. \ No newline at end of file diff --git a/mcp_servers/local/fetch_url/package-lock.json b/mcp_servers/local/fetch_url/package-lock.json new file mode 100644 index 00000000..8ef1ef70 --- /dev/null +++ b/mcp_servers/local/fetch_url/package-lock.json @@ -0,0 +1,5267 @@ +{ + "name": "fetch-url-mcp", + "version": "1.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "fetch-url-mcp", + "version": "1.0.0", + "license": "MIT", + "dependencies": { + "@modelcontextprotocol/sdk": "^1.24.3", + "express": "^4.18.2", + "jsdom": "^25.0.1", + "turndown": "^7.2.0", + "zod": "^4.1.13" + }, + "bin": { + "fetch-url-mcp": "dist/index.js" + }, + "devDependencies": { + "@types/express": "^4.17.21", + "@types/jest": "^29.5.14", + "@types/jsdom": "^21.1.7", + "@types/node": "^22.10.2", + "@types/turndown": "^5.0.5", + "jest": "^29.7.0", + "shx": 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"express": "^4.18.2", + "jsdom": "^25.0.1", + "turndown": "^7.2.0", + "zod": "^4.1.13" + }, + "devDependencies": { + "@types/express": "^4.17.21", + "@types/jest": "^29.5.14", + "@types/jsdom": "^21.1.7", + "@types/node": "^22.10.2", + "@types/turndown": "^5.0.5", + "jest": "^29.7.0", + "shx": "^0.3.4", + "ts-jest": "^29.2.5", + "typescript": "^5.7.2" + }, + "engines": { + "node": ">=18.0.0" + }, + "files": [ + "dist", + "README.md", + "LICENSE" + ] +} diff --git a/mcp_servers/local/fetch_url/src/Fetcher.ts b/mcp_servers/local/fetch_url/src/Fetcher.ts new file mode 100644 index 00000000..b22c0636 --- /dev/null +++ b/mcp_servers/local/fetch_url/src/Fetcher.ts @@ -0,0 +1,104 @@ +import { JSDOM } from "jsdom"; +import TurndownService from "turndown"; +import { RequestPayload } from "./types.js"; + +export class Fetcher { + private static async _fetch({ + url, + headers, + }: RequestPayload): Promise { + try { + const response = await fetch(url, { + headers: { + "User-Agent": + "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36", + ...headers, + }, + }); + + if (!response.ok) { + throw new Error(`HTTP error: ${response.status}`); + } + return response; + } catch (e: unknown) { + if (e instanceof Error) { + throw new Error(`Failed to fetch ${url}: ${e.message}`); + } else { + throw new Error(`Failed to fetch ${url}: Unknown error`); + } + } + } + + static async html(requestPayload: RequestPayload) { + try { + const response = await this._fetch(requestPayload); + const html = await response.text(); + return { content: [{ type: "text" as const, text: html }], isError: false }; + } catch (error) { + return { + content: [{ type: "text" as const, text: (error as Error).message }], + isError: true, + }; + } + } + + static async json(requestPayload: RequestPayload) { + try { + const response = await this._fetch(requestPayload); + const json = await response.json(); + return { + content: [{ type: "text" as const, text: JSON.stringify(json) }], + isError: false, + }; + } catch (error) { + return { + content: [{ type: "text" as const, text: (error as Error).message }], + isError: true, + }; + } + } + + static async txt(requestPayload: RequestPayload) { + try { + const response = await this._fetch(requestPayload); + const html = await response.text(); + + const dom = new JSDOM(html); + const document = dom.window.document; + + const scripts = document.getElementsByTagName("script"); + const styles = document.getElementsByTagName("style"); + Array.from(scripts).forEach((script) => script.remove()); + Array.from(styles).forEach((style) => style.remove()); + + const text = document.body.textContent || ""; + + const normalizedText = text.replace(/\s+/g, " ").trim(); + + return { + content: [{ type: "text" as const, text: normalizedText }], + isError: false, + }; + } catch (error) { + return { + content: [{ type: "text" as const, text: (error as Error).message }], + isError: true, + }; + } + } + + static async markdown(requestPayload: RequestPayload) { + try { + const response = await this._fetch(requestPayload); + const html = await response.text(); + const turndownService = new TurndownService(); + const markdown = turndownService.turndown(html); + return { content: [{ type: "text" as const, text: markdown }], isError: false }; + } catch (error) { + return { + content: [{ type: "text" as const, text: (error as Error).message }], + isError: true, + }; + } + } +} diff --git a/mcp_servers/local/fetch_url/src/index.ts b/mcp_servers/local/fetch_url/src/index.ts new file mode 100644 index 00000000..08f31e1e --- /dev/null +++ b/mcp_servers/local/fetch_url/src/index.ts @@ -0,0 +1,113 @@ +#!/usr/bin/env node + +import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"; +import { StreamableHTTPServerTransport } from "@modelcontextprotocol/sdk/server/streamableHttp.js"; +import { Fetcher } from "./Fetcher.js"; +import { RequestPayload } from "./types.js"; +import express, { Request, Response } from "express"; +import crypto from "crypto"; +import { z } from "zod"; + +process.on("uncaughtException", (error) => { + console.error("Uncaught Exception:", error); + process.exit(1); +}); + +process.on("unhandledRejection", (reason, promise) => { + console.error("Unhandled Rejection at:", promise, "reason:", reason); + process.exit(1); +}); + +const server = new McpServer( + { + name: "fetch-url-mcp", + version: "1.0.0", + } +); + +// Define the input schema for all fetch tools +const fetchInputSchema = { + url: z.string().describe("URL of the website to fetch"), + headers: z.record(z.string(), z.string()).optional().describe("Optional headers to include in the request"), +}; + +// Register fetch_html tool +server.registerTool( + "fetch_html", + { + description: "Fetch a website and return the content as HTML", + inputSchema: fetchInputSchema, + }, + async (args) => { + return await Fetcher.html(args as RequestPayload); + } +); + +// Register fetch_markdown tool +server.registerTool( + "fetch_markdown", + { + description: "Fetch a website and return the content as Markdown", + inputSchema: fetchInputSchema, + }, + async (args) => { + return await Fetcher.markdown(args as RequestPayload); + } +); + +// Register fetch_txt tool +server.registerTool( + "fetch_txt", + { + description: "Fetch a website, return the content as plain text (no HTML)", + inputSchema: fetchInputSchema, + }, + async (args) => { + return await Fetcher.txt(args as RequestPayload); + } +); + +// Register fetch_json tool +server.registerTool( + "fetch_json", + { + description: "Fetch a JSON file from a URL", + inputSchema: fetchInputSchema, + }, + async (args) => { + return await Fetcher.json(args as RequestPayload); + } +); + +async function main() { + const app = express(); + const PORT = process.env.PORT || 5000; + + app.use(express.json()); + + const transport = new StreamableHTTPServerTransport({ + sessionIdGenerator: () => crypto.randomUUID(), + }); + + await server.connect(transport); + + app.post("/mcp", async (req: Request, res: Response) => { + console.log("MCP connection request received"); + await transport.handleRequest(req, res, req.body); + }); + + app.get("/health", (req: Request, res: Response) => { + res.json({ status: "ok", name: "@tokenizin/mcp-npx-fetch" }); + }); + + app.listen(PORT, () => { + console.log(`MCP server listening on http://localhost:${PORT}`); + console.log(`MCP endpoint: http://localhost:${PORT}/mcp`); + console.log(`Health check: http://localhost:${PORT}/health`); + }); +} + +main().catch((error) => { + console.error("Fatal error in main():", error); + process.exit(1); +}); diff --git a/mcp_servers/local/fetch_url/src/types.ts b/mcp_servers/local/fetch_url/src/types.ts new file mode 100644 index 00000000..1cc32d37 --- /dev/null +++ b/mcp_servers/local/fetch_url/src/types.ts @@ -0,0 +1,4 @@ +export interface RequestPayload { + url: string; + headers?: Record; +} diff --git a/mcp_servers/local/fetch_url/tsconfig.json b/mcp_servers/local/fetch_url/tsconfig.json new file mode 100644 index 00000000..01f08960 --- /dev/null +++ b/mcp_servers/local/fetch_url/tsconfig.json @@ -0,0 +1,15 @@ +{ + "compilerOptions": { + "target": "ES2022", + "module": "Node16", + "moduleResolution": "node16", + "outDir": "./dist", + "rootDir": "./src", + "strict": true, + "esModuleInterop": true, + "skipLibCheck": true, + "forceConsistentCasingInFileNames": true + }, + "include": ["src/**/*.ts"], + "exclude": ["node_modules", "dist", "src/**/*.test.ts"] +} diff --git a/mcp_servers/local/pdf-tools/.pdf_tools_tempfiles/template.pdf b/mcp_servers/local/pdf-tools/.pdf_tools_tempfiles/template.pdf new file mode 100644 index 00000000..266c88de Binary files /dev/null and b/mcp_servers/local/pdf-tools/.pdf_tools_tempfiles/template.pdf differ diff --git a/mcp_servers/local/pdf-tools/README.md b/mcp_servers/local/pdf-tools/README.md new file mode 100644 index 00000000..ae98aefd --- /dev/null +++ b/mcp_servers/local/pdf-tools/README.md @@ -0,0 +1,313 @@ +# PDF Tools MCP Server (Local) + +A Model Context Protocol (MCP) server for local PDF document manipulation and extraction. This server provides comprehensive PDF tools for reading, analyzing, extracting, merging, and splitting PDF files. + +## Features + +### PDF Reading & Analysis +- **read_pdf**: Extract text content from all pages of a PDF with metadata +- **get_pdf_info**: Get PDF metadata and information without full text extraction + +### PDF Manipulation +- **extract_pages**: Extract specific pages from a PDF to create a new document +- **merge_pdfs**: Combine multiple PDF files into a single document +- **split_pdf**: Split a PDF into individual page files + +## Installation + +### Using uvx (Recommended) + +```bash +uvx --from . pdf-tools-mcp --workspace_path=/path/to/workspace +``` + +### Manual Installation + +```bash +# Create virtual environment +python -m venv venv +source venv/bin/activate # On Windows: venv\Scripts\activate + +# Install dependencies +pip install -r requirements.txt + +# Run the server +python server.py --workspace_path=/path/to/workspace +``` + +## Configuration + +The server accepts the following command-line options: + +- `--workspace_path`: Path to the workspace directory where PDFs are located (default: current directory) +- `--tempfile_dir`: Directory for temporary file storage (default: `{workspace}/.pdf_tools_tempfiles`) +- `--log-level`: Logging level - DEBUG, INFO, WARNING, ERROR, CRITICAL (default: INFO) + +### Environment Variables + +You can also configure using environment variables: + +- `WORKSPACE_PATH`: Default workspace path +- `TEMPFILE_DIR`: Default temporary file directory + +## Usage with MCP Clients + +### Claude Desktop / Cursor Configuration + +Add to your MCP configuration file: + +```json +{ + "mcpServers": { + "pdf-tools": { + "command": "uvx", + "args": [ + "--from", + "/path/to/mcp_servers/local/pdf-tools", + "pdf-tools-mcp", + "--workspace_path", + "${agent_workspace}", + "--tempfile_dir", + "${agent_workspace}/.pdf_tools_tempfiles" + ], + "client_session_timeout_seconds": 120, + "cache_tools_list": true + } + } +} +``` + +### Python SDK Example + +```python +import asyncio +import json +from mcp import ClientSession, StdioServerParameters +from mcp.client.stdio import stdio_client + +async def main(): + server_params = StdioServerParameters( + command="python", + args=["server.py", "--workspace_path", "/path/to/workspace"], + env=None + ) + + async with stdio_client(server_params) as (read, write): + async with ClientSession(read, write) as session: + await session.initialize() + + # List available tools + tools = await session.list_tools() + print("Available tools:", [tool.name for tool in tools.tools]) + + # Read a PDF + result = await session.call_tool( + "read_pdf", + arguments={"file_path": "document.pdf"} + ) + print(json.loads(result.content[0].text)) + +asyncio.run(main()) +``` + +## Available Tools + +### read_pdf + +Extract text content and metadata from a PDF file. + +**Parameters:** +- `file_path` (string, required): Relative path to the PDF file within workspace + +**Returns:** +```json +{ + "file_path": "document.pdf", + "num_pages": 10, + "metadata": { + "title": "Document Title", + "author": "Author Name", + "subject": "Subject", + "creator": "Creator", + "producer": "Producer", + "creation_date": "2024-01-01" + }, + "pages": [ + { + "page_number": 1, + "text": "Page 1 content..." + } + ] +} +``` + +### get_pdf_info + +Get metadata and information about a PDF without extracting full text. + +**Parameters:** +- `file_path` (string, required): Relative path to the PDF file + +**Returns:** +```json +{ + "file_path": "document.pdf", + "num_pages": 10, + "metadata": {...}, + "page_sizes": [ + {"page": 1, "width": 612.0, "height": 792.0} + ], + "is_encrypted": false +} +``` + +### extract_pages + +Extract specific pages from a PDF to create a new document. + +**Parameters:** +- `input_file` (string, required): Relative path to input PDF +- `output_file` (string, required): Relative path for output PDF +- `page_numbers` (array of integers, required): Page numbers to extract (1-indexed) + +**Example:** +```json +{ + "input_file": "document.pdf", + "output_file": "extracted_pages.pdf", + "page_numbers": [1, 3, 5] +} +``` + +**Returns:** +```json +{ + "success": true, + "output_file": "extracted_pages.pdf", + "pages_extracted": 3, + "message": "Successfully extracted 3 pages to extracted_pages.pdf" +} +``` + +### merge_pdfs + +Merge multiple PDF files into a single document. + +**Parameters:** +- `input_files` (array of strings, required): Array of relative paths to input PDFs +- `output_file` (string, required): Relative path for output merged PDF + +**Example:** +```json +{ + "input_files": ["doc1.pdf", "doc2.pdf", "doc3.pdf"], + "output_file": "merged.pdf" +} +``` + +**Returns:** +```json +{ + "success": true, + "output_file": "merged.pdf", + "input_files_count": 3, + "total_pages": 30, + "message": "Successfully merged 3 PDFs (30 pages) into merged.pdf" +} +``` + +### split_pdf + +Split a PDF into individual page files. + +**Parameters:** +- `input_file` (string, required): Relative path to input PDF +- `output_prefix` (string, required): Prefix for output files + +**Example:** +```json +{ + "input_file": "document.pdf", + "output_prefix": "page" +} +``` + +This creates: `page_1.pdf`, `page_2.pdf`, etc. + +**Returns:** +```json +{ + "success": true, + "output_files": ["page_1.pdf", "page_2.pdf", "page_3.pdf"], + "pages_created": 3, + "message": "Successfully split PDF into 3 pages" +} +``` + +## Security + +The server implements security measures to ensure files are only accessed within the configured workspace directory: + +- All file paths are validated to be within the workspace +- Path traversal attempts (e.g., `../../../etc/passwd`) are blocked +- Files outside the workspace cannot be accessed + +## Error Handling + +All tools return error information in a consistent format: + +```json +{ + "error": "Description of the error" +} +``` + +Common errors: +- File not found +- Invalid PDF format +- Invalid page numbers +- Access denied (outside workspace) +- Permission errors + +## Performance Considerations + +- `client_session_timeout_seconds: 120` is recommended for processing large PDFs +- `cache_tools_list: true` improves performance by caching tool definitions +- Large PDFs may take longer to process; adjust timeout as needed + +## Development + +### Running Tests + +```bash +# Install development dependencies +pip install -r requirements.txt pytest + +# Run tests +pytest tests/ +``` + +### Logging + +Set log level for debugging: + +```bash +python server.py --log-level DEBUG --workspace_path=/path/to/workspace +``` + +## License + +Part of the Klavis AI MCP Servers collection. + +## Related Documentation + +- [MCP Protocol Documentation](https://modelcontextprotocol.io) +- [Klavis AI Documentation](https://klavis.ai/docs) +- [pypdf Documentation](https://pypdf.readthedocs.io) + +## Support + +For issues and questions: +- GitHub Issues: https://github.com/klavis-ai/klavis/issues +- Discord: https://discord.gg/p7TuTEcssn + diff --git a/mcp_servers/local/pdf-tools/pyproject.toml b/mcp_servers/local/pdf-tools/pyproject.toml new file mode 100644 index 00000000..37a7dced --- /dev/null +++ b/mcp_servers/local/pdf-tools/pyproject.toml @@ -0,0 +1,22 @@ +[project] +name = "pdf-tools-mcp" +version = "1.0.0" +description = "MCP server for local PDF document manipulation and extraction" +readme = "README.md" +requires-python = ">=3.10" +dependencies = [ + "click==8.3.1", + "mcp==1.23.2", + "pypdf==6.4.1", +] + +[project.scripts] +pdf-tools-mcp = "server:main" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["."] + diff --git a/mcp_servers/local/pdf-tools/requirements.txt b/mcp_servers/local/pdf-tools/requirements.txt new file mode 100644 index 00000000..0a115dd5 --- /dev/null +++ b/mcp_servers/local/pdf-tools/requirements.txt @@ -0,0 +1,4 @@ +click==8.3.1 +mcp==1.23.2 +pypdf==6.4.1 + diff --git a/mcp_servers/local/pdf-tools/server.py b/mcp_servers/local/pdf-tools/server.py new file mode 100644 index 00000000..8331ad2d --- /dev/null +++ b/mcp_servers/local/pdf-tools/server.py @@ -0,0 +1,539 @@ +import contextlib +import logging +import os +from collections.abc import AsyncIterator +from typing import Any, Dict, List, Optional +from pathlib import Path +import tempfile +import json + +import click +import mcp.types as types +from mcp.server.lowlevel import Server +from mcp.server.stdio import stdio_server +from pypdf import PdfReader, PdfWriter +from pypdf.errors import PdfReadError + +# Configure logging +logger = logging.getLogger(__name__) + +# Configuration +DEFAULT_WORKSPACE_PATH = os.getenv("WORKSPACE_PATH", os.getcwd()) +DEFAULT_TEMPFILE_DIR = os.getenv("TEMPFILE_DIR", os.path.join(DEFAULT_WORKSPACE_PATH, ".pdf_tools_tempfiles")) + + +def ensure_workspace_path(workspace_path: str, file_path: str) -> Path: + """ + Ensures the file path is within the workspace directory. + Returns the absolute path. + """ + workspace = Path(workspace_path).resolve() + target = (workspace / file_path).resolve() + + # Security check: ensure target is within workspace + try: + target.relative_to(workspace) + except ValueError: + raise ValueError(f"Access denied: {file_path} is outside workspace directory") + + return target + + +async def read_pdf(workspace_path: str, file_path: str) -> Dict[str, Any]: + """ + Read and extract text content from a PDF file. + + Args: + workspace_path: The workspace directory path + file_path: Relative path to the PDF file within workspace + + Returns: + Dictionary containing PDF metadata and text content + """ + logger.info(f"Reading PDF: {file_path}") + + try: + pdf_path = ensure_workspace_path(workspace_path, file_path) + + if not pdf_path.exists(): + return {"error": f"File not found: {file_path}"} + + reader = PdfReader(str(pdf_path)) + + # Extract metadata + metadata = {} + if reader.metadata: + metadata = { + "title": reader.metadata.get("/Title", ""), + "author": reader.metadata.get("/Author", ""), + "subject": reader.metadata.get("/Subject", ""), + "creator": reader.metadata.get("/Creator", ""), + "producer": reader.metadata.get("/Producer", ""), + "creation_date": str(reader.metadata.get("/CreationDate", "")), + } + + # Extract text from all pages + pages_text = [] + for i, page in enumerate(reader.pages): + text = page.extract_text() + pages_text.append({ + "page_number": i + 1, + "text": text + }) + + return { + "file_path": file_path, + "num_pages": len(reader.pages), + "metadata": metadata, + "pages": pages_text + } + + except PdfReadError as e: + logger.exception(f"Error reading PDF: {e}") + return {"error": f"Failed to read PDF: {str(e)}"} + except Exception as e: + logger.exception(f"Unexpected error reading PDF: {e}") + return {"error": f"Unexpected error: {str(e)}"} + + +async def extract_pages( + workspace_path: str, + tempfile_dir: str, + input_file: str, + output_file: str, + page_numbers: List[int] +) -> Dict[str, Any]: + """ + Extract specific pages from a PDF and create a new PDF. + + Args: + workspace_path: The workspace directory path + tempfile_dir: Directory for temporary files + input_file: Path to input PDF + output_file: Path to output PDF (will be created) + page_numbers: List of page numbers to extract (1-indexed) + + Returns: + Dictionary with operation result + """ + logger.info(f"Extracting pages {page_numbers} from {input_file} to {output_file}") + + try: + input_path = ensure_workspace_path(workspace_path, input_file) + output_path = ensure_workspace_path(workspace_path, output_file) + + if not input_path.exists(): + return {"error": f"Input file not found: {input_file}"} + + reader = PdfReader(str(input_path)) + writer = PdfWriter() + + total_pages = len(reader.pages) + + # Validate page numbers + for page_num in page_numbers: + if page_num < 1 or page_num > total_pages: + return {"error": f"Invalid page number {page_num}. PDF has {total_pages} pages."} + writer.add_page(reader.pages[page_num - 1]) + + # Create output directory if it doesn't exist + output_path.parent.mkdir(parents=True, exist_ok=True) + + with open(output_path, "wb") as output: + writer.write(output) + + return { + "success": True, + "output_file": output_file, + "pages_extracted": len(page_numbers), + "message": f"Successfully extracted {len(page_numbers)} pages to {output_file}" + } + + except Exception as e: + logger.exception(f"Error extracting pages: {e}") + return {"error": f"Failed to extract pages: {str(e)}"} + + +async def merge_pdfs( + workspace_path: str, + tempfile_dir: str, + input_files: List[str], + output_file: str +) -> Dict[str, Any]: + """ + Merge multiple PDF files into a single PDF. + + Args: + workspace_path: The workspace directory path + tempfile_dir: Directory for temporary files + input_files: List of input PDF file paths + output_file: Path to output merged PDF + + Returns: + Dictionary with operation result + """ + logger.info(f"Merging {len(input_files)} PDFs into {output_file}") + + try: + output_path = ensure_workspace_path(workspace_path, output_file) + writer = PdfWriter() + + total_pages = 0 + for input_file in input_files: + input_path = ensure_workspace_path(workspace_path, input_file) + + if not input_path.exists(): + return {"error": f"Input file not found: {input_file}"} + + reader = PdfReader(str(input_path)) + for page in reader.pages: + writer.add_page(page) + total_pages += len(reader.pages) + + # Create output directory if it doesn't exist + output_path.parent.mkdir(parents=True, exist_ok=True) + + with open(output_path, "wb") as output: + writer.write(output) + + return { + "success": True, + "output_file": output_file, + "input_files_count": len(input_files), + "total_pages": total_pages, + "message": f"Successfully merged {len(input_files)} PDFs ({total_pages} pages) into {output_file}" + } + + except Exception as e: + logger.exception(f"Error merging PDFs: {e}") + return {"error": f"Failed to merge PDFs: {str(e)}"} + + +async def split_pdf( + workspace_path: str, + tempfile_dir: str, + input_file: str, + output_prefix: str +) -> Dict[str, Any]: + """ + Split a PDF into individual pages. + + Args: + workspace_path: The workspace directory path + tempfile_dir: Directory for temporary files + input_file: Path to input PDF + output_prefix: Prefix for output files (e.g., "page" -> "page_1.pdf", "page_2.pdf") + + Returns: + Dictionary with operation result + """ + logger.info(f"Splitting {input_file} with prefix {output_prefix}") + + try: + input_path = ensure_workspace_path(workspace_path, input_file) + + if not input_path.exists(): + return {"error": f"Input file not found: {input_file}"} + + reader = PdfReader(str(input_path)) + output_files = [] + + for i, page in enumerate(reader.pages): + writer = PdfWriter() + writer.add_page(page) + + output_file = f"{output_prefix}_{i + 1}.pdf" + output_path = ensure_workspace_path(workspace_path, output_file) + + # Create output directory if it doesn't exist + output_path.parent.mkdir(parents=True, exist_ok=True) + + with open(output_path, "wb") as output: + writer.write(output) + + output_files.append(output_file) + + return { + "success": True, + "output_files": output_files, + "pages_created": len(output_files), + "message": f"Successfully split PDF into {len(output_files)} pages" + } + + except Exception as e: + logger.exception(f"Error splitting PDF: {e}") + return {"error": f"Failed to split PDF: {str(e)}"} + + +async def get_pdf_info(workspace_path: str, file_path: str) -> Dict[str, Any]: + """ + Get information about a PDF file without extracting full text. + + Args: + workspace_path: The workspace directory path + file_path: Relative path to the PDF file within workspace + + Returns: + Dictionary containing PDF information + """ + logger.info(f"Getting info for PDF: {file_path}") + + try: + pdf_path = ensure_workspace_path(workspace_path, file_path) + + if not pdf_path.exists(): + return {"error": f"File not found: {file_path}"} + + reader = PdfReader(str(pdf_path)) + + # Extract metadata + metadata = {} + if reader.metadata: + metadata = { + "title": reader.metadata.get("/Title", ""), + "author": reader.metadata.get("/Author", ""), + "subject": reader.metadata.get("/Subject", ""), + "creator": reader.metadata.get("/Creator", ""), + "producer": reader.metadata.get("/Producer", ""), + "creation_date": str(reader.metadata.get("/CreationDate", "")), + } + + # Get page sizes + page_sizes = [] + for i, page in enumerate(reader.pages): + box = page.mediabox + page_sizes.append({ + "page": i + 1, + "width": float(box.width), + "height": float(box.height) + }) + + return { + "file_path": file_path, + "num_pages": len(reader.pages), + "metadata": metadata, + "page_sizes": page_sizes, + "is_encrypted": reader.is_encrypted + } + + except Exception as e: + logger.exception(f"Error getting PDF info: {e}") + return {"error": f"Failed to get PDF info: {str(e)}"} + + +@click.command() +@click.option( + "--workspace_path", + default=DEFAULT_WORKSPACE_PATH, + help="Path to the workspace directory where PDFs are located" +) +@click.option( + "--tempfile_dir", + default=DEFAULT_TEMPFILE_DIR, + help="Directory for temporary file storage" +) +@click.option( + "--log-level", + default="INFO", + help="Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)", +) +def main( + workspace_path: str, + tempfile_dir: str, + log_level: str, +) -> int: + """PDF Tools MCP Server - Local PDF manipulation and extraction.""" + + # Configure logging + logging.basicConfig( + level=getattr(logging, log_level.upper()), + format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", + ) + + # Ensure directories exist + Path(workspace_path).mkdir(parents=True, exist_ok=True) + Path(tempfile_dir).mkdir(parents=True, exist_ok=True) + + logger.info(f"Starting PDF Tools MCP Server") + logger.info(f"Workspace path: {workspace_path}") + logger.info(f"Tempfile directory: {tempfile_dir}") + + # Create the MCP server instance + app = Server( + "pdf-tools-mcp-server", + instructions="PDF document manipulation and extraction server. Provides tools for reading, analyzing, " + "extracting, merging, and splitting PDF files within a workspace directory.", + ) + + @app.list_tools() + async def list_tools() -> list[types.Tool]: + return [ + types.Tool( + name="read_pdf", + description="Read and extract text content from a PDF file. Returns metadata and text from all pages.", + inputSchema={ + "type": "object", + "required": ["file_path"], + "properties": { + "file_path": { + "type": "string", + "description": "Relative path to the PDF file within the workspace directory" + } + }, + }, + annotations=types.ToolAnnotations(**{"category": "PDF_READ", "readOnlyHint": True}), + ), + types.Tool( + name="get_pdf_info", + description="Get metadata and information about a PDF file without extracting full text content.", + inputSchema={ + "type": "object", + "required": ["file_path"], + "properties": { + "file_path": { + "type": "string", + "description": "Relative path to the PDF file within the workspace directory" + } + }, + }, + annotations=types.ToolAnnotations(**{"category": "PDF_INFO", "readOnlyHint": True}), + ), + types.Tool( + name="extract_pages", + description="Extract specific pages from a PDF and create a new PDF file.", + inputSchema={ + "type": "object", + "required": ["input_file", "output_file", "page_numbers"], + "properties": { + "input_file": { + "type": "string", + "description": "Relative path to the input PDF file" + }, + "output_file": { + "type": "string", + "description": "Relative path for the output PDF file" + }, + "page_numbers": { + "type": "array", + "items": {"type": "integer"}, + "description": "Array of page numbers to extract (1-indexed)" + } + }, + }, + annotations=types.ToolAnnotations(**{"category": "PDF_MANIPULATE"}), + ), + types.Tool( + name="merge_pdfs", + description="Merge multiple PDF files into a single PDF file.", + inputSchema={ + "type": "object", + "required": ["input_files", "output_file"], + "properties": { + "input_files": { + "type": "array", + "items": {"type": "string"}, + "description": "Array of relative paths to input PDF files" + }, + "output_file": { + "type": "string", + "description": "Relative path for the output merged PDF file" + } + }, + }, + annotations=types.ToolAnnotations(**{"category": "PDF_MANIPULATE"}), + ), + types.Tool( + name="split_pdf", + description="Split a PDF file into individual pages, creating one PDF per page.", + inputSchema={ + "type": "object", + "required": ["input_file", "output_prefix"], + "properties": { + "input_file": { + "type": "string", + "description": "Relative path to the input PDF file" + }, + "output_prefix": { + "type": "string", + "description": "Prefix for output files (e.g., 'page' creates 'page_1.pdf', 'page_2.pdf')" + } + }, + }, + annotations=types.ToolAnnotations(**{"category": "PDF_MANIPULATE"}), + ), + ] + + @app.call_tool() + async def call_tool( + name: str, arguments: dict + ) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]: + """Handle tool calls.""" + + try: + result = None + + if name == "read_pdf": + file_path = arguments.get("file_path") + if not file_path: + return [types.TextContent(type="text", text="Error: file_path parameter is required")] + result = await read_pdf(workspace_path, file_path) + + elif name == "get_pdf_info": + file_path = arguments.get("file_path") + if not file_path: + return [types.TextContent(type="text", text="Error: file_path parameter is required")] + result = await get_pdf_info(workspace_path, file_path) + + elif name == "extract_pages": + input_file = arguments.get("input_file") + output_file = arguments.get("output_file") + page_numbers = arguments.get("page_numbers") + + if not all([input_file, output_file, page_numbers]): + return [types.TextContent(type="text", text="Error: input_file, output_file, and page_numbers are required")] + + result = await extract_pages(workspace_path, tempfile_dir, input_file, output_file, page_numbers) + + elif name == "merge_pdfs": + input_files = arguments.get("input_files") + output_file = arguments.get("output_file") + + if not all([input_files, output_file]): + return [types.TextContent(type="text", text="Error: input_files and output_file are required")] + + result = await merge_pdfs(workspace_path, tempfile_dir, input_files, output_file) + + elif name == "split_pdf": + input_file = arguments.get("input_file") + output_prefix = arguments.get("output_prefix") + + if not all([input_file, output_prefix]): + return [types.TextContent(type="text", text="Error: input_file and output_prefix are required")] + + result = await split_pdf(workspace_path, tempfile_dir, input_file, output_prefix) + + else: + return [types.TextContent(type="text", text=f"Unknown tool: {name}")] + + # Return the result as JSON + return [types.TextContent(type="text", text=json.dumps(result, indent=2))] + + except Exception as e: + logger.exception(f"Error executing tool {name}: {e}") + return [types.TextContent(type="text", text=f"Error: {str(e)}")] + + # Use stdio transport for local usage + async def run_server(): + async with stdio_server() as (read_stream, write_stream): + logger.info("PDF Tools MCP Server running on stdio") + await app.run(read_stream, write_stream, app.create_initialization_options()) + + import asyncio + asyncio.run(run_server()) + + return 0 + + +if __name__ == "__main__": + main() +