Quick MCP Server

If you already use Quick, the quick mcp server is the piece that lets your assistant work with it directly. 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

Installation

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Credentials and setup notes

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

Worth knowing first

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

Where it fits

Plenty of search and retrieval servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by teddynote-lab; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.