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MCP server · RAG

Anythingllm MCP Server

MCP server for AnythingLLM integration with Hermes and other MCP-compatible clients

42Fair

Scored 18 days ago · breakdown

About Anythingllm MCP Server

Anythingllm MCP Server is an MCP server in the RAG category: mCP server for AnythingLLM integration with Hermes and other MCP-compatible clients.

Install

Claude Code
claude mcp add anythingllm-mcp-server -- npx -y @telekosmos/anythingllm-mcp-server
npx
npx -y @telekosmos/anythingllm-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (1)

initialize_anythingllmInitialize the AnythingLLM client with API credentials

Parameters not published.

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README

AnythingLLM MCP Server

An MCP (Model Context Protocol) server that enables seamless integration between AnythingLLM and MCP-compatible clients like TypingMind, Claude Desktop, and more.

Features

  • 🚀 Complete AnythingLLM API Integration: Access all AnythingLLM features through MCP
  • 💬 Workspace Management: Create, update, delete, list workspaces and manage their settings
  • 🤖 Chat Integration: Send messages, manage chat history, and stream responses
  • 📄 Document Management: Upload, list, delete documents, process URLs, and manage vectors
  • 🔍 Embedding & Search: Embed text/webpages and search within workspaces
  • 👥 User Management: Create, update, delete users and manage permissions
  • 🔑 API Key Management: Programmatically manage API keys
  • ⚙️ System Administration: Configure LLM providers, vector databases, and system settings
  • 🤖 Agent Support: Create and manage AI agents with custom prompts and tools
  • 📊 System Monitoring: Access system information and statistics
  • 🔐 Secure Authentication: API key-based authentication with environment variable support

Prerequisites

  • Node.js 18+ installed
  • AnythingLLM instance running with API access enabled
  • AnythingLLM API key (obtain from your AnythingLLM instance at /settings/api-keys)

Installation

Option 1: Using npx (Recommended)

No installation needed! You can run the server directly with npx when configuring your MCP client.

Option 2: Global Installation

npm install -g anythingllm-mcp-server

Option 3: Local Installation

git clone https://github.com/yourusername/anythingllm-mcp-server.git
cd anythingllm-mcp-server
npm install

Configuration

For TypingMind.com

Setup Instructions

  1. Go to TypingMind.com

  2. Click on Settings → MCP Servers

  3. In the MCP configuration editor, add the AnythingLLM server:

    {
     "mcpServers": {
       "anythingllm": {
         "command": "npx",
         "args": ["-y", "anythingllm-mcp-server@2.0.0"]
        }
      }
    }
    
  4. Click Save - TypingMind will restart the MCP servers

  5. Look for the "Connected" status

First Time Usage

After the server connects, initialize it with your AnythingLLM credentials:

  1. In the chat, type:

    Use the initialize_anythingllm tool with apiKey: "your-api-key" and baseUrl: "http://localhost:3001"
    
  2. Replace:

    • "your-api-key" with your AnythingLLM API key (get it from AnythingLLM → Settings → API Keys)
    • "http://localhost:3001" with your AnythingLLM instance URL
  3. You'll see: "AnythingLLM client initialized successfully"

Example Commands

After initialization, use natural language to interact with AnythingLLM:

  • "List all my workspaces"
  • "Create a new workspace called 'Project Documentation'"
  • "Chat with the 'research' workspace about the latest findings"
  • "Show me all documents in the 'knowledge-base' workspace"

TypingMind will automatically use the appropriate AnythingLLM tools.

For Claude Desktop

Add to your Claude Desktop configuration file:

On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "anythingllm": {
      "command": "npx",
      "args": ["-y", "anythingllm-mcp-server@1.0.3"]
    }
  }
}

Initialization

When first using the server in your MCP client, you'll need to initialize it with your AnythingLLM credentials by calling the initialize_anythingllm tool:

Use the initialize_anythingllm tool with apiKey: "your-api-key" and baseUrl: "http://localhost:3001"
  • apiKey: Get this from your AnythingLLM instance at /settings/api-keys
  • baseUrl: Your AnythingLLM instance URL (default: http://localhost:3001)

You can also set these as environment variables:

  • ANYTHINGLLM_API_KEY: Your API key
  • ANYTHINGLLM_BASE_URL: Your instance URL

Available Tools

Initialization

Tool Description Parameters
initialize_anythingllm Initialize the AnythingLLM client with API credentials apiKey (string), baseUrl (optional string)

Workspace Management

Tool Description Parameters
list_workspaces Get all workspaces None
get_workspace Get details of a specific workspace slug (string)
create_workspace Create a new workspace name (string)
update_workspace Update workspace settings slug (string), updates (object)
delete_workspace Remove a workspace slug (string)
get_workspace_settings Get settings for a specific workspace slug (string)
update_workspace_settings Update workspace-specific settings slug (string), settings (object)

Chat Operations

Tool Description Parameters
chat_with_workspace Send messages to a workspace slug (string), message (string), mode (optional: "chat" or "query")
get_chat_history Get chat history for a workspace slug (string), limit (optional number)
clear_chat_history Clear all chat history for a workspace slug (string)

Document Management

Tool Description Parameters
list_documents View all documents in a workspace slug (string)
delete_document Remove a document from a workspace slug (string), documentId (string)
process_document_url Process a document from a URL slug (string), url (string)
get_document_vectors Get vector embeddings for a document slug (string), documentId (string)

Embedding & Search

Tool Description Parameters
embed_text Embed text directly into a workspace slug (string), texts (array of strings)
embed_webpage Embed a webpage into a workspace slug (string), url (string)
search_workspace Search within a workspace slug (string), query (string), limit (optional number)

User Management

Tool Description Parameters
list_users List all users in the system None
create_user Create a new user username (string), password (string), role (optional string)
update_user Update an existing user userId (string), updates (object)
delete_user Delete a user userId (string)

API Key Management

Tool Description Parameters
list_api_keys List all API keys None
create_api_key Create a new API key name (string)
delete_api_key Delete an API key keyId (string)

System Administration

Tool Description Parameters
get_system_settings View system configuration None
update_system_settings Modify system settings settings (object)
get_system_info Get general system information None
get_system_stats Get system statistics None

LLM Provider Management

Tool Description Parameters
list_llm_providers List available LLM providers None
update_llm_provider Update LLM provider configuration provider (string), apiKey (optional string), model (optional string)

Vector Database Management

Tool Description Parameters
get_vector_database_info Get vector database configuration None
update_vector_database Update vector database configuration provider (string), config (object)

Agent Management

Tool Description Parameters
list_agents List all available agents None
create_agent Create a new agent name (string), systemPrompt (optional string), tools (optional array)
update_agent Update an existing agent agentId (string), updates (object)
delete_agent Delete an agent agentId (string)
invoke_agent Invoke an agent with input agentId (string), input (string)

Usage Examples

Once configured, you can interact with AnythingLLM through your MCP client:

List all workspaces

"Use the list_workspaces tool to show me all available workspaces"

Create a new workspace

"Create a new workspace called 'Project Documentation' using the create_workspace tool"

Chat with a workspace

"Use chat_with_workspace to ask the 'research' workspace: What are the key findings from the latest report?"

Manage documents

"List all documents in the 'knowledge-base' workspace"
"Delete document with ID 'doc123' from the 'archive' workspace"

API Reference

This MCP server connects to the following AnythingLLM API endpoints:

  • /api/v1/workspaces - Workspace operations
  • /api/v1/workspace/{slug}/chat - Chat functionality
  • /api/v1/workspace/{slug}/documents - Document management
  • /api/v1/system/settings - System configuration

For complete API documentation, visit /api/docs on your AnythingLLM instance.

Troubleshooting

Connection Issues

  • ✅ Ensure your AnythingLLM instance is running and accessible
  • ✅ Verify the API key has proper permissions
  • ✅ Check that the base URL is correct (include http/https)
  • ✅ Make sure the AnythingLLM API is enabled in your instance

API Errors

  • Most errors will include descriptive messages
  • Check AnythingLLM logs for detailed error information
  • Ensure your API key hasn't expired
  • Verify workspace slugs are correct when accessing specific workspaces

Common Issues

"Client not initialized" error:

  • Make sure you've initialized the server with your API key and base URL

"Workspace not found" error:

  • Check that the workspace slug is correct
  • Use list_workspaces to see available workspaces

Connection refused:

  • Verify AnythingLLM is running on the specified port
  • Check firewall settings

Security Notes

  • 🔐 Keep your API key secure and never commit it to version control
  • 🔒 Use environment variables for sensitive configuration in production
  • 🛡️ Restrict API key permissions to only what's needed
  • ⚠️ Never share your API key publicly

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

Acknowledgments


Made with ❤️ for the AnythingLLM community

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Anythingllm MCP Server

How do I install Anythingllm MCP Server?

Run claude mcp add anythingllm-mcp-server -- npx -y @telekosmos/anythingllm-mcp-server, then add the server to your MCP client's configuration.

Is Anythingllm MCP Server safe to use with an AI agent?

Its trust score is 42 out of 100 (fair). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Anythingllm MCP Server still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.