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LTMhub MCP Server - Connect Claude Desktop to your Long-Term Memory

Project description

LTMhub MCP Server

PyPI version Python License: MIT

Connect Claude Desktop to your LTMhub Long-Term Memory.

一键安装

方式 1: 使用 uvx (推荐)

uvx ltmhub-mcp

方式 2: 使用 pip

pip install ltmhub-mcp
ltmhub-mcp

方式 3: 从 GitHub 安装

pip install git+https://github.com/ltmhub/ltmhub-mcp.git

配置 Claude Desktop

1. 获取 API Key

  1. 登录 LTMhub
  2. 进入 设置API Keys
  3. 创建新的 API Key

2. 配置 Claude Desktop

编辑 Claude Desktop 配置文件:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

添加以下配置:

{
  "mcpServers": {
    "ltmhub": {
      "command": "uvx",
      "args": ["ltmhub-mcp"],
      "env": {
        "LTMHUB_API_KEY": "your_api_key_here",
        "LTMHUB_API_URL": "https://api.ltmhub.ai/api/v1"
      }
    }
  }
}

或使用 pip 安装方式:

{
  "mcpServers": {
    "ltmhub": {
      "command": "ltmhub-mcp",
      "env": {
        "LTMHUB_API_KEY": "your_api_key_here",
        "LTMHUB_API_URL": "https://api.ltmhub.ai/api/v1"
      }
    }
  }
}

3. 重启 Claude Desktop

完全退出 Claude Desktop (Cmd+Q / Ctrl+Q),然后重新启动。

可用工具

工具 描述
memory_create 创建新的记忆条目
memory_get 根据 ID 获取单个记忆
memory_list 列出记忆(支持分页)
memory_search 向量相似度搜索
memory_fork Fork 公开项目
agent_list 列出 Agent
project_list 列出项目

使用示例

创建问答记忆

Use memory_create to save:
- agent_id: <your-agent-id>
- knowledge_type: qa
- knowledge: {"type": "qa", "question": "如何调试 useEffect?", "answer": "检查依赖数组...", "tags": ["react"]}

搜索记忆

Use memory_search with:
- query: "React debugging"
- top_k: 5

列出记忆

Use memory_list with:
- page: 1
- per_page: 10
- knowledge_type: qa

知识类型

qa (问答)

{
  "type": "qa",
  "question": "问题",
  "answer": "回答",
  "tags": ["标签1", "标签2"]
}

triple (三元组)

{
  "type": "triple",
  "subject": "主体",
  "predicate": "谓词",
  "object": "客体"
}

document (文档)

{
  "type": "document",
  "title": "标题",
  "content": "内容...",
  "tags": ["标签"]
}

code (代码)

{
  "type": "code",
  "title": "代码标题",
  "description": "描述",
  "code": "def example():\n    pass",
  "language": "python"
}

decision (决策)

{
  "type": "decision",
  "decision": "决策内容",
  "context": "上下文",
  "outcome": "结果"
}

环境变量

变量 必填 默认值 说明
LTMHUB_API_KEY - LTMhub API Key
LTMHUB_API_URL http://localhost:8000/api/v1 API 地址

本地开发

# 克隆仓库
git clone https://github.com/ltmhub/ltmhub-mcp.git
cd ltmhub-mcp

# 安装依赖
pip install -e .

# 运行
LTMHUB_API_KEY=your_key LTMHUB_API_URL=http://localhost:8000/api/v1 ltmhub-mcp

发布到 PyPI

# 构建
pip install build
python -m build

# 上传
pip install twine
twine upload dist/*

License

MIT License

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