PDF MCP Server
Enables processing and analysis of large PDF files through text extraction, search functionality, and intelligent chunking strategies. Provides comprehensive PDF operations including metadata retrieval, page-range text extraction, and content search with contextual results.
README
PDF MCP Server
A Model Context Protocol (MCP) server for processing large PDF files with intelligent chunking and text extraction.
Features
- PDF Metadata: Get file info, page count, author, title, etc.
- Text Extraction: Extract text from specific page ranges with character limits
- PDF Search: Search within PDFs with contextual results
- Smart Chunking: Calculate optimal page ranges for processing large PDFs
Tools
1. pdf_get_metadata
Get metadata about a PDF file.
Parameters:
pdf_path(string, required): Full path to the PDF file
Returns:
- File size, page count, title, author, and other metadata
2. pdf_extract_text
Extract text from a range of pages.
Parameters:
pdf_path(string, required): Full path to the PDF filestart_page(integer, optional): Starting page (1-indexed, default: 1)end_page(integer, optional): Ending page (default: last page)max_chars(integer, optional): Maximum characters to extract
Returns:
- Extracted text with page markers
- Character count and truncation info
3. pdf_search
Search for text within a PDF.
Parameters:
pdf_path(string, required): Full path to the PDF filequery(string, required): Text to search for (case-insensitive)context_chars(integer, optional): Context characters around matches (default: 200)max_results(integer, optional): Maximum results (default: 50)
Returns:
- List of matches with page numbers and context
4. pdf_get_chunks
Calculate optimal chunking strategy for large PDFs.
Parameters:
pdf_path(string, required): Full path to the PDF filemax_chars_per_chunk(integer, optional): Target chunk size (default: 50000)overlap_pages(integer, optional): Page overlap between chunks (default: 1)
Returns:
- List of chunks with page ranges and estimated character counts
Installation
- Install dependencies:
pip install -r requirements.txt
- Configure in Claude Code (see Configuration section)
Configuration
Add to your Claude Code MCP settings (%APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": {
"pdf-processor": {
"command": "python",
"args": ["c:\\Users\\Will\\pdf-mcp-server\\server.py"]
}
}
}
After configuration, restart Claude Code to load the MCP server.
Usage Examples
Processing a 55MB PDF
- First, get metadata:
Use pdf_get_metadata to check the page count
- Calculate chunks:
Use pdf_get_chunks to determine optimal page ranges
- Extract text by chunk:
Use pdf_extract_text with the page ranges from step 2
- Search across the PDF:
Use pdf_search to find specific content
Technical Details
- Uses
pdfplumberfor high-quality text extraction - Uses
pypdffor metadata and PDF structure - Runs locally using your compute resources
- No file size limits (processes in chunks)
- Handles encrypted PDFs (if not password-protected)
Troubleshooting
Server not appearing in Claude Code:
- Check that the path in config is correct
- Restart Claude Code after configuration changes
- Check Python is accessible from command line
Extraction issues:
- Scanned PDFs may have poor text extraction (OCR not yet implemented)
- Some PDFs may have unusual encoding
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。