# Model Service

A FastMCP server implementation for connecting to the Replicate API, providing standardized interfaces to access multiple AI models. Currently, it supports the image generation function and is in the early development stage.

This is an MCP server that provides a standardized interface for Scikit-learn models, supporting functions such as model training, evaluation, data preprocessing, and persistence.

This project provides multiple examples of MCP server setup, supports local and cloud deployment, includes two transport modes: STDIO and SSE, and is accompanied by detailed tutorial videos.

Model Context Protocol Server Project

The TianGong AI Model Context Protocol (MCP) Server supports multiple communication protocols, including STDIO and Streamable Http, and provides convenient deployment and development support.

This project is a Gaphor-based MCP server that supports querying and modifying model elements and creating various diagrams. It is suitable for model validation and documentation inspection in a code environment.

A deep reasoning server based on the MCP protocol, providing AI deep reasoning services for clients

A prototype of a Model Context Protocol (MCP) server based on Tekton, providing functions for listing and inspecting resources such as PipelineRun.

Fal AI MCP Server Project

Database Model Context Protocol (DB-MCP) Server

Guide to Installing and Running MCP Server

The project introduces how to quickly set up an MCP service based on Ollama and the Llama3.2 model, including environment preparation and running steps.

MCP SERVERLY is a project that implements the Model Context Protocol (MCP) based on the official Anthropic SDK. The core service and client development have been completed, and the Docker image is being built.