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mem0 MCP Server for project management

by KunihiroS

mem0 MCP Server is a bridge between MCP Host applications and the mem0 cloud service, providing memory capabilities for MCP Host AI. This forked version changes the scope from coding to project management, integrating coding format into high-level context.

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What is mem0 MCP Server for project management?

The mem0 MCP Server is a forked version designed for project management, acting as a bridge between MCP Host applications and the mem0 cloud service. It provides memory capabilities for MCP Host AI, focusing on project-related information storage and retrieval.

How to use mem0 MCP Server for project management?

To use the server, clone the repository, set up a virtual environment using uv, install dependencies, configure environment variables, install mcp-proxy, add MCP server settings, launch the server, and check functionality via MCP Host. Refer to the README for detailed steps and example configurations.

Key features of mem0 MCP Server for project management

  • Forked for project management scope

  • Project memory storage and retrieval

  • Semantic search for relevant project information

  • Structured project management data handling

  • Integration of coding format into high-level context

Use cases of mem0 MCP Server for project management

  • Storing and retrieving project status updates

  • Managing project tasks and assignments

  • Summarizing meeting minutes and decisions

  • Tracking project risks and mitigation strategies

  • Managing sprint planning and progress

FAQ from mem0 MCP Server for project management

What is the purpose of this forked version?

This version is specifically tailored for project management, shifting the focus from coding to managing project-related information.

What are the pre-conditions for installation?

You need Python 12.0 or newer and mcp-proxy (if using Cline or Roo code).

How do I configure the MCP Server settings?

You need to provide the path to mcp-proxy and configure the port as needed in the cline_mcp_settings.json file.

What is the recommended format for storing project information?

Using structured data formats like JavaScript objects with clear metadata (project name, timestamp, type) is recommended.

How can I manage related information effectively?

Use the run_id parameter to logically group related information, creating a hierarchical structure for context management.