MCPs tagged with # document search

GXtract MCP Server implements the Model Context Protocol (MCP) to facilitate direct integration between the GroundX document understanding platform and editors such as VS Code. It offers tools for document search, querying, and semantic object explanations, leveraging Python 3.12+ and FastMCP v2 for high performance. The system includes an in-memory cache to boost efficiency and reduce API calls, with support for both stdio and HTTP transport layers for maximum flexibility.

• ⭐ 1
• MCP
• sascharo/gxtract

LlamaCloud MCP Server is a TypeScript-based implementation of a Model Context Protocol server that allows users to connect multiple managed indexes from LlamaCloud as separate tools in MCP-compatible clients. Each tool is defined via command-line parameters, enabling flexible and dynamic access to different document indexes. The server automatically generates tool interfaces, each capable of querying its respective LlamaCloud index, with customizable parameters such as index name, description, and result limits. Designed for seamless integration, it works with clients like Claude Desktop, Windsurf, and Cursor.

• ⭐ 82
• MCP
• run-llama/mcp-server-llamacloud

Crypto Whitepapers MCP Server provides an MCP-compliant server that acts as a structured knowledge base of cryptocurrency project whitepapers for AI agents. It enables searching, loading, indexing, and querying of whitepaper PDFs while supporting integration with Claude Desktop via the Model Context Protocol. The tool implements interactive tools and prompts to help users and AI analyze, search, and extract insights from crypto whitepapers.

• ⭐ 5
• MCP
• kukapay/crypto-whitepapers-mcp