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Memory server for AI Chat with MCP interface

@Gelembjuk

代码仓库

基本信息

分类

记忆与知识

许可证

MIT license

传输方式

stdio

作者

Gelembjuk

关于 Memory server for AI Chat with MCP interface

This is the MCP server with memory interface. It can be used with an AI Chat tool as a memory service

Memory server for AI Chat with MCP interface 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "cleverchatty-memory": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Memory server for AI Chat with MCP interface 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Memory server for AI Chat with MCP interface?

It is an example memory server for AI chat that follows the MCP (Model Context Protocol) interface supported by the tool CleverChatty. It exposes two tools — remember (store a chat message with a role) and recall (return a summary of previous conversations) — and is designed to be used alongside the CleverChatty CLI for chat applications with persistent memory.

How to use Memory server for AI Chat with MCP interface?

Clone the repository, install uv, create a virtual environment, run uv sync, then start the server with fastapi run mcp_server.py --port 8001. The server uses SSE transport and is accessible at http://localhost:8001/mcp. A CLI (python manager.py) is provided for testing and debugging, supporting commands like remember, recall, clear-memory, patch-memories, and history-dump.

Key features of Memory server for AI Chat with MCP interface

  • Exposes remember and recall MCP tools.
  • Stores chat messages with role and content.
  • Returns a summary of previous conversations.
  • Runs as a FastAPI server with SSE transport.
  • Includes a CLI for manual testing and debugging.

Use cases of Memory server for AI Chat with MCP interface

  • Provide memory to an AI chat application using the CleverChatty interface.
  • Store and retrieve conversation context for multi-turn dialogues.
  • Test and debug memory behavior via the included CLI commands.

常见问题

1

How do I start the server?

Clone the repo, install `uv`, create a virtual environment, run `uv sync`, then execute `fastapi run mcp_server.py --port 8001`. The server will listen on port 8001 (default localhost only).

2

What tools does the server expose?

Two tools: `remember` (requires `role` and `message` strings) and `recall` (no input parameters). `remember` stores a message, `recall` returns a summary of previous conversations.

3

How can I test the server without an MCP client?

Use the provided CLI: `python manager.py COMMAND`, for example `python manager.py remember user "Hello"` or `python manager.py recall`.

4

Can the server be accessed from other machines?

Yes. Start the server with `--host 0.0.0.0` to make it accessible from any IP address. By default it only listens on localhost.

5

What transport protocol does the server use?

It uses SSE (Server-Sent Events) transport. The MCP endpoint is `http://localhost:8001/mcp` (or the configured host/port).

评论

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