Using LibreChat to run your own chatbot connected to your MCP's
19 hours ago
- #Chatbot
- #LibreChat
- #MCP
- LibreChat is an open-source AI chat platform that supports Model Context Protocol (MCP) servers for custom AI assistants.
- Key goals include setting up a self-hosted LibreChat instance with OAuth authentication and connecting MCP servers to business data.
- Requirements include Docker Desktop, an OAuth provider, API keys for LLM providers, and basic command line and YAML knowledge.
- Steps to get started: clone the LibreChat repository, configure environment variables, and launch using Docker.
- OAuth authentication can be set up for production deployments, with Google OAuth provided as an example.
- MCP servers are configured via the librechat.yaml file, allowing the chatbot to connect to external tools and data sources.
- Agents can be created in LibreChat to manage MCP tools, documentation, and user access.
- Artifacts enable interactive content generation like React components, HTML pages, and Mermaid diagrams.
- Use cases for artifacts include code generation, data visualization, prototyping, and documentation.
- Next steps involve deploying to production, exploring advanced configurations, and building custom MCP servers.