Quick MCP Server

Simplifies the process of integrating Anthropic's Model Context Protocol (MCP) into Claude Desktop and Cursor for enhanced functionality.

Local serverstdioPython★ 186

What is the Quick MCP Server?

Simplifies the process of integrating Anthropic's Model Context Protocol (MCP) into Claude Desktop and Cursor for enhanced functionality.

What the server does

Plese prepare a PDF file required for RAG in the ./data directory.

  • RAG (Retrieval Augmented Generation) — - Keyword, semantic, and hybrid search functionality for PDF documents
  • Dify External Knowledge API — - Document search functionality via Dify's external knowledge API
  • Dify Workflow — - Execute and retrieve results from Dify Workflow
  • Web Search — - Real-time web search using Tavily API
  • Automatic JSON Generation — - Automatically generate MCP JSON files needed for Claude Desktop and Cursor

Credentials and setup notes

  • Python >= 3.11 - Claude Desktop or Cursor (MCP supporting version) - uv (recommended) or pip

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Configuration

  • Python >= 3.11 - Claude Desktop or Cursor (MCP supporting version) - uv (recommended) or pip

Frequently asked questions

It automates MCP JSON file generation, supports Retrieval Augmented Generation (RAG) with various search types, integrates with Dify's External Knowledge API, enables Dify Workflow execution, and provides real-time web search via the Tavily API.