LibreChat

Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active.

Installation

Run this command in your terminal to add the MCP server to Claude Code.

Run in terminal:

View docs

Command

claude mcp add --transport stdio danny-avila-librechat node path/to/server.js \
  --env PORT="3000" \
  --env API_KEY="your-api-key" \
  --env NODE_ENV="development" \
  --env DATABASE_URL="your-database-url"

How to use

LibreChat is a self-hosted AI chat platform that integrates various AI models and tools into a single interface. Users can interact with multiple AI providers, including OpenAI, Anthropic, and AWS Bedrock, through a customizable chat experience. The platform supports advanced features such as code interpretation, web search, and image generation, allowing users to create and manage AI-driven assistants and workflows. To utilize the tools, simply set up your server, configure your AI endpoints, and start chatting with the integrated features.

How to install

Ensure you have Node.js and npm installed on your machine.

Clone the repository:

git clone https://github.com/danny-avila/librechat.git
cd librechat

Install the required dependencies:
```
npm install
```
Configure your environment variables in a .env file or directly in your terminal.
Start the server:
```
npm start
```

Additional notes

Make sure to check the configuration options in the documentation for setting up your AI endpoints and any additional features you want to enable. Common issues include port conflicts and database connection errors, which can typically be resolved by ensuring the correct environment variables are set. For further customization, refer to the deployment options available in the documentation.

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