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Quick-start Auto MCP

by teddynote-lab
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Python
MIT License
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local-only server

The server can only run on the client’s local machine because it depends on local resources.

Integrations

  • Used for storing and managing API keys and configuration variables needed for the various MCP functionalities

  • Utilizes OpenAI platform API keys for certain functionalities within the MCP server

  • Primary runtime environment for the MCP server with version 3.11+ requirement

Quick-start Auto MCP : All in one Claude Desktop and Cursor

English | 한국어

Introduction

Quick-start Auto MCP is a tool that helps you easily and quickly register Anthropic's Model Context Protocol (MCP) in Claude Desktop and Cursor.

Key advantages:

  1. Quick Setup: Add MCP functionality to Claude Desktop and Cursor simply by running a tool and copying/pasting the generated JSON file.
  2. Various Tools Provided: We continuously update useful MCP tools. Stay up to date with your personalized toolkit by starring and following us. :)

Table of Contents

Features

  • 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

Project Structure

. ├── case1 # RAG example ├── case2 # Dify External Knowledge API example ├── case3 # Dify Workflow example ├── case4 # Web Search example ├── data # Example data files ├── docs # Documentation folder │ ├── case1.md # case1 description 🚨 Includes tips for optimized tool invocation │ ├── case2.md # case2 description │ ├── case3.md # case3 description │ ├── case4.md # case4 description │ └── installation.md # Installation guide ├── .env.example # .env example format ├── pyproject.toml # Project settings ├── requirements.txt # Required packages list └── uv.lock # uv.lock

Requirements

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

Installation

1. Clone the repository

git clone https://github.com/teddynote-lab/mcp.git cd mcp

2. Set up virtual environment

# macOS/Linux uv venv uv pip install -r requirements.txt
# Windows uv venv uv pip install -r requirements_windows.txt

Using pip

python -m venv .venv # Windows .venv\Scripts\activate pip install -r requirements_windows.txt # macOS/Linux source .venv/bin/activate pip install -r requirements.txt

3. Preparing the PDF File

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

Configuration

In order to execute each case, a .env file is required. Please specify the necessary environment variables in the .env.example file located in the root directory, and rename it to .env.

sites for configuring required environment variables for each case

Usage

1. Generate JSON File

Run the following command in each case directory to generate the necessary JSON file:

# Activate virtual environment # Windows .venv\Scripts\activate # macOS/Linux source .venv/bin/activate # Navigate to example directory cd case1 # Generate JSON file python auto_mcp_json.py

2. Register MCP in Claude Desktop/Cursor

  1. Launch Claude Desktop or Cursor
  2. Open MCP settings menu
  3. Copy and paste the generated JSON content
  4. Save and restart

Note: When you run Claude Desktop or Cursor, the MCP server will automatically run with it. When you close the software, the MCP server will also terminate.

Troubleshooting

Common issues and solutions:

  • MCP Server Connection Failure: Check if the service is running properly and if there are no port conflicts. In particular, when applying case2, you must also run dify_ek_server.py.
  • API Key Errors: Verify that environment variables are set correctly.
  • Virtual Environment Issues: Ensure Python version is 3.11 or higher.

License

MIT LICENSE

Contributing

Contributions are always welcome! Please participate in the project through issue registration or pull requests. :)

Contact

If you have questions or need help, please register an issue or contact: dev@brain-crew.com

Author

Hantaek Lim

This server cannot be installed

-
security - not tested
A
license - permissive license
-
quality - not tested

A tool that helps easily register Anthropic's Model Context Protocol (MCP) in Claude Desktop and Cursor, providing RAG functionality, Dify integration, and web search capabilities.

  1. Introduction
    1. Table of Contents
      1. Features
        1. Project Structure
          1. Requirements
            1. Installation
              1. 1. Clone the repository
              2. 2. Set up virtual environment
              3. 3. Preparing the PDF File
            2. Configuration
              1. sites for configuring required environment variables for each case
            3. Usage
              1. 1. Generate JSON File
              2. 2. Register MCP in Claude Desktop/Cursor
            4. Troubleshooting
              1. License
                1. Contributing
                  1. Contact
                    1. Author