Skip to content

A Model Context Protocol (MCP) implementation for the Memos API service. This package provides a command-line interface to interact with Memos API using MCP standards.

License

Notifications You must be signed in to change notification settings

MemTensor/memos-api-mcp

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

25 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MCP Server for MemOS API

A Model Context Protocol (MCP) implementation for the MemOS API service. This package provides a command-line interface to interact with MemOS API using MCP standards.

MCP Configuration

To use this package In MCP Client, use the following configuration: (You may need to install Node.js first)

{
  "mcpServers": {
    "memos-api-mcp": {
      "command": "npx",
      "args": ["-y", "@memtensor/memos-api-mcp"],
      "env": {
        "MEMOS_API_KEY": "your-api-key",
        "MEMOS_USER_ID": "your-user-id",
        "MEMOS_CHANNEL": "the-site-where-you-are-seeing-this-document"
      }
    }
  }
}

Configuration Explanation

  • command: Uses npx to run the package
  • args: Arguments passed to npx to run the package
  • env: Environment variables
    • MEMOS_API_KEY: Your Memos API key for authentication (Get your API Key in Dashboard[https://memos-dashboard-pre.openmem.net/cn/quickstart/])
    • MEMOS_USER_ID: Stable per-human identifier. MUST be deterministic and non-PII, and MUST remain the same for the same person across devices/sessions. NEVER reuse across different people. DO NOT use random values, device IDs, or model/chat session IDs. Recommended: SHA-256(lowercase(trim(email))) or your SSO subject/employee ID.
    • MEMOS_CHANNEL: The site where you are seeing this document. Candidate values: MODELSCOPE, MCPSO, MCPMARKETCN, MCPMARKETCOM, GLAMA, PULSEMCP, MCPSERVERS,LOBEHUB,MEMOS(meaning the MemOS official website), GITHUB(meaning this README file)

Available MCP Tools

This package provides the following MCP tools:

  1. add_message

    • Adds a new message to a conversation
    • Parameters:
      • conversation_id: Unique identifier of the conversation associated with the feedback.
      • messages: Array of messages containing role and content information.
        • role: Role of the message sender (user or assistant).
        • content: Message content.
        • chat_time: (Optional) Message timestamp.
  2. search_memory

    • Searches for memories in a conversation.
    • Parameters:
      • query: Search query to find relevant content in conversation history.
      • conversation_id: Conversation ID to define the search scope.
      • memory_limit_number: Maximum number of results to return (default: 6).
  3. delete_memory

    • Delete specific memories by their IDs.
    • Parameters:
      • user_ids: List of user IDs whose memories will be deleted.
      • memory_ids: List of memory IDs to delete.
  4. add_feedback

    • Submit user feedback to the MemOS system.
    • Parameters:
      • user_id: The user identifier associated with the feedback.
      • conversation_id: Unique identifier of the conversation associated with the feedback.
      • feedback_content: The specific content of the feedback.
      • agent_id: (Optional) Agent ID associated with the feedback.
      • app_id: (Optional) App ID associated with the feedback.
      • feedback_time: (Optional) Feedback time string (default: current UTC time).
      • allow_public: (Optional) Whether to allow public access (default: false).
      • allow_knowledgebase_ids: (Optional) List of knowledge base IDs allowed to be written to.

All tools use the same configuration and require the MEMOS_API_KEY environment variable.

Features

  • MCP-compliant API interface
  • Command-line tool for easy interaction
  • Built with TypeScript for type safety
  • Express.js server implementation
  • Zod schema validation

Prerequisites

  • Node.js >= 18
  • npm or pnpm (recommended)

Installation

You can install the package globally using npm:

npm install -g @memtensor/memos-api-mcp

Or using pnpm:

pnpm add -g @memtensor/memos-api-mcp

Usage

After installation, you can run the CLI tool using:

npx @memtensor/memos-api-mcp

Or if installed globally:

memos-api-mcp

Development

  1. Clone the repository:
git clone <repository-url>
cd memos-api-mcp
  1. Install dependencies:
pnpm install
  1. Start development server:
pnpm dev
  1. Build the project:
pnpm build

Available Scripts

  • pnpm build - Build the project
  • pnpm dev - Start development server using tsx
  • pnpm start - Run the built version
  • pnpm inspect - Inspect the MCP implementation using @modelcontextprotocol/inspector

Project Structure

memos-mcp/
├── src/           # Source code
├── build/         # Compiled JavaScript files
├── package.json   # Project configuration
└── tsconfig.json  # TypeScript configuration

Dependencies

  • @modelcontextprotocol/sdk: ^1.0.0
  • express: ^4.19.2
  • zod: ^3.23.8
  • ts-md5: ^2.0.0

Version

Current version: 1.0.0-beta.2

About

A Model Context Protocol (MCP) implementation for the Memos API service. This package provides a command-line interface to interact with Memos API using MCP standards.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •