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
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:
- Quick Setup: Add MCP functionality to Claude Desktop and Cursor simply by running a tool and copying/pasting the generated JSON file.
- 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
- Project Structure
- Requirements
- Installation
- Configuration
- Usage
- Troubleshooting
- License
- Contributing
- Contact
- Author
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
Requirements
- Python >= 3.11
- Claude Desktop or Cursor (MCP supporting version)
- uv (recommended) or pip
Installation
1. Clone the repository
2. Set up virtual environment
Using uv (recommended)
Using pip
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:
2. Register MCP in Claude Desktop/Cursor
- Launch Claude Desktop or Cursor
- Open MCP settings menu
- Copy and paste the generated JSON content
- 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
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
This server cannot be installed
local-only server
The server can only run on the client's local machine because it depends on local resources.
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.
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