# Model integration

The JetBrains MCP Server plugin enables seamless integration of large language models with JetBrains IDEs, providing server-side processing and custom tool extension points.

MCP server project based on Llama3 and Xterm.js

MCP Server Govbox is a middleware server that connects large language models (LLMs) and Rake tasks. It is developed in Go language and allows LLMs to securely execute Rake commands through a standardized interface, supporting multi-project management and error handling.

An AI agent forwarding solution based on the MCP protocol that enables unified HTTP interface management of large model services, supporting multi-MCP Server integration and rapid deployment.

A guide to setting up MCP servers for AWS database services, supporting integration of multiple database types with Amazon Bedrock models

This project is an educational implementation of an MCP server, demonstrating how to build an MCP server that can be integrated with multiple LLM clients. MCP is a standardized protocol for connecting AI models with different data sources and tools.

MCP Connector is a lightweight server for managing and running multiple MCP servers, supporting integration with TypingMind and providing a REST API interface.

A Python template project for quickly building a Model Context Protocol (MCP) server, providing registration and exposure functions for tools and prompts, and supporting multiple deployment methods.

The R2R MCP Server is a service that integrates the Model Context Protocol (MCP) with the R2R system, providing interaction capabilities with MCP-compatible models such as Claude, and supporting functions such as knowledge base access, context search, and Retrieval Augmented Generation (RAG).

An AI agent forwarding solution based on the MCP protocol, realizing unified HTTP interfaces and fast integration of large model services.

ngspice-mcp is an MCP protocol-based server that provides a standardized interface for AI language models to access ngspice circuit simulation capabilities, supporting operations such as circuit loading, simulation execution, and data acquisition.

OpenRouter language model conversation management server based on the MCP protocol

Element Plus component generation service, supporting the use of the MCP protocol to call multiple large models to generate Vue components and providing a preview function

A Model Context Protocol server for integrating Ollama with MCP clients such as Claude Desktop

An MCP server implementation that provides inference capabilities of the Gemini language model for Claude Desktop