AnythingLLM — All-in-One AI Desktop with MCP

What is AnythingLLM?

AnythingLLM is a full-stack AI application that combines chat, RAG (document Q&A), agents, and MCP server support into one desktop app. Upload PDFs, websites, or code — AnythingLLM handles embedding, vector storage, and retrieval automatically. Connect any LLM provider, use built-in agents with tool calling, and extend functionality through MCP servers. Everything runs privately on your machine.

Answer-Ready: AnythingLLM is an all-in-one AI desktop app with chat, RAG, agents, and MCP support. Upload documents, connect any LLM, ask questions with automatic retrieval. Built-in vector database, multi-user support, and agent workspace. 35k+ GitHub stars.

Best for: Teams wanting private, self-hosted AI with document Q&A. Works with: OpenAI, Anthropic Claude, Ollama, Azure, and 15+ LLM providers. Setup time: Under 3 minutes.

Core Features

1. Document RAG (Zero Config)

Upload any document type and ask questions:

• PDF, DOCX, TXT, CSV
• Websites (auto-scrape)
• YouTube transcripts
• GitHub repos
• Confluence, Notion exports

2. MCP Server Support

// Connect MCP servers in settings
{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path"]
    },
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"]
    }
  }
}

3. Multi-Provider LLM Support

4. Agent Workspace

Built-in agent capabilities:

• Web browsing and search
• Code execution
• File management
• RAG-enhanced responses
• MCP tool calling

5. Multi-User & Permissions

Admin → Manage users, workspaces, models
Manager → Create workspaces, upload docs
Default → Chat within assigned workspaces

6. Built-in Vector Database

No external setup needed — AnythingLLM includes LanceDB. Also supports:

• Pinecone
• Chroma
• Weaviate
• Qdrant
• Milvus

Use Cases

FAQ

Q: Is it truly private? A: Yes, desktop app runs fully local. Use Ollama for local models and LanceDB (built-in) for vectors. Nothing leaves your machine.

Q: How does MCP integration work? A: Configure MCP servers in settings. Agents can call MCP tools alongside built-in tools for extended capabilities.

Q: Can multiple people use it? A: Yes, multi-user support with role-based access control. Deploy via Docker for team use.