Memoh
БесплатноНе проверенMCP server for managing Memoh AI agents from Claude Code, Cursor, or any MCP-compatible client, providing 26 tools for bots, containers, files, skills, memory,
Описание
MCP server for managing Memoh AI agents from Claude Code, Cursor, or any MCP-compatible client, providing 26 tools for bots, containers, files, skills, memory, chat, settings, and health.
README
MCP server for managing Memoh AI agents from Claude Code, Cursor, or any MCP-compatible client.
26 Tools
| Category | Tools |
|---|---|
| Bots | list_bots, get_bot, create_bot, update_bot, delete_bot |
| Containers | get_container, create_container, delete_container, start_container, stop_container |
| Files | read_file, write_file, list_files |
| Skills | list_skills, write_skills, delete_skills |
| Memory | list_memories, add_memory, search_memory, delete_memory |
| Chat | send_message, get_messages |
| Settings | get_settings, update_settings |
| Heartbeat | heartbeat_logs |
| Health | health_check |
Quick Start
1. Install
pip install mcp python-dotenv
Or with uv:
uv pip install mcp python-dotenv
2. Configure
Set environment variables (or create a .env file next to the server script):
export MEMOH_API=http://localhost:8080
export MEMOH_USER=admin
export MEMOH_PASS=your-password
3. Add to Claude Code
Add to ~/.claude/settings.json:
{
"mcpServers": {
"memoh": {
"command": "python3",
"args": ["/path/to/memoh_mcp_server.py"]
}
}
}
Or with a .env wrapper script:
{
"mcpServers": {
"memoh": {
"command": "/path/to/wrapper.sh"
}
}
}
Where wrapper.sh:
#!/bin/bash
exec python3 /path/to/memoh_mcp_server.py "$@"
4. Add to Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"memoh": {
"command": "python3",
"args": ["/path/to/memoh_mcp_server.py"],
"env": {
"MEMOH_API": "http://localhost:8080",
"MEMOH_USER": "admin",
"MEMOH_PASS": "your-password"
}
}
}
}
Usage
Once connected, your AI assistant can manage Memoh bots directly:
- List bots: See all bots with their IDs and status
- Read/write files: Edit bot identity, soul, memory, and other config files in containers
- Manage skills: Add procedural protocols that guide bot behavior
- Vector memory: Add, search, and delete bot memories
- Chat: Send messages to bots and read their responses
- Settings: Configure models, heartbeat intervals, and other bot settings
Requirements
- Python 3.10+
- Running Memoh server
mcpPython package (MCP SDK)python-dotenv(optional, for.envfile support)
License
MIT
Установка Memoh
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/seniorcat/memoh-mcpFAQ
Memoh MCP бесплатный?
Да, Memoh MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Memoh?
Нет, Memoh работает без API-ключей и переменных окружения.
Memoh — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Memoh в Claude Desktop, Claude Code или Cursor?
Открой Memoh на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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