mizall90/mm-mcp
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This is a ModelManager MCP server that provides a REST API for ModelManager tools.
The ModelManager MCP Server is designed to facilitate the integration and management of machine learning models through a REST API. It serves as a bridge between various ModelManager tools and the underlying infrastructure, allowing for seamless deployment, scaling, and monitoring of models. The server can be configured to run locally or within a Docker container, providing flexibility in deployment options. It supports secure communication through environment variables and can be integrated with different platforms such as windsurf, vscode, and claude desktop.
Features
- REST API for ModelManager tools
- Local and Docker deployment options
- Secure communication with environment variables
- Integration with multiple platforms
- Scalable and flexible model management
Usages
local configuration
{ "mcpServers": { "mm-mcp": { "command": "mm-mcp/.venv/bin/mcp", "args": ["run", "mm-mcp/server/mm.py"] } } }
docker configuration
{ "mcpServers": { "mm-mcp-docker": { "command": "docker", "args": [ "run", "--rm", "-i", "--network=host", "-e", "SECRET_KEY", "-e", "MM_API_BASE_URL", "modelmanagerdev/mcp:v1" ], "env": { "SECRET_KEY": "your-secret-key", "MM_API_BASE_URL": "your-api-base-url" } } } }