A service based on the Model Context Protocol (MCP) that supports the specification-driven development process, guiding developers through a systematic development process from requirement generation, design documents to code implementation via structured prompts.

Notebook Intelligence (NBI) is an AI coding assistant and extensible AI framework designed for JupyterLab. It supports models from GitHub Copilot and other LLM providers, including local Ollama models. It significantly enhances productivity through features such as code generation, auto - completion, and chat interfaces, and supports the integration of Model Context Protocol (MCP) services.

FileScopeMCP is a code analysis tool based on TypeScript. It helps developers quickly understand the codebase structure by calculating file importance scores, tracking dependency relationships, generating visual charts, and adding file summaries. It supports analysis of multi-language projects, provides Mermaid chart generation and persistent storage functions, and can be integrated with Cursor's model context protocol.

The MCP service for Ant Design components provides support for component documentation query and code generation for large language models

GarenCode Design is an AI-driven intelligent component design platform that automates the entire process from requirements analysis to code generation through the MCP framework. It supports multiple AI models and private component libraries, significantly improving front-end development efficiency.

J.A.R.V.I.S. is an intelligent code assistant based on multi - model support, providing functions such as code generation, modification, and technical discussions, and supporting multiple file formats and real - time collaboration.

An automatic commit message generation tool based on Git change analysis, leveraging OpenAI's GPT model to generate standardized commit information for code changes.

The TagoIO MCP Server is a tool that allows AI models to directly interact with the TagoIO IoT platform, providing functions such as device management, data analysis, platform integration, and code generation to enhance the development workflow and intelligent data analysis.

GH_mcp_server is a tool that enables direct interaction with Rhino and Grasshopper through LLMs, supporting the analysis of 3dm files, 3D modeling, and the automatic generation of GHPython code.

The Modal MCP Toolbox is a collection of tools running on the Modal platform. Based on the Model Context Protocol (MCP), it can provide extended functions for LLMs, such as Python sandbox code execution and FLUX model image generation.

This project is an MCP server based on Google Cloud Vertex AI Gemini model, providing a rich toolset for code assistance and general Q&A, supporting web search-enhanced answers, document explanation generation, file system operations, and other functions.

The Pinecone Developer MCP Server is a service based on the Model Context Protocol standard, aiming to connect AI tools with Pinecone projects, providing functions such as document search, index configuration, code generation, and data operation.

Payload MCP is an AI - assisted tool server developed specifically for Payload CMS. It provides code generation, validation, project building, and query analysis functions through the standardized Model Context Protocol (MCP) to help developers more efficiently build and manage Payload CMS projects.

A service toolset based on the Model Context Protocol, providing functions such as encoding conversion, network diagnosis, system monitoring, security encryption, and QR code generation, and supporting LLM agents to call system tools.

The Payload CMS 3.0 MCP Server is a model context protocol server designed specifically for Payload CMS development, offering code validation, template generation, and project scaffolding functions to help developers build applications following best practices.

A code modification and generation service based on large language models

Agent Farm v3.4 is a system based on AI agent evolution and parallel task execution, which realizes task processing through tool - enhanced agents. The new version introduces the chunked write mode, supports the parallel generation of large documents and code files, improves performance by 8.6 times, and uses local models for result synthesis without relying on cloud tokens.

awesome - mcp is a project that collects and shares MCP (Model Context Protocol) servers, covering various MCP server implementations contributed by the official and the community, including multiple fields such as AI, databases, browser automation, code management, image generation, search, and storage.

GH_mcp_server is a tool that directly interacts with Rhino and Grasshopper through LLM, supporting the analysis of 3DM files, 3D modeling, and the automatic generation of GHPython code for Grasshopper.

This is a prototype of a code execution server based on the MCP protocol, which combines the code generation capabilities of large language models with MCP tool integration, enabling AI agents to run Python code in an isolated sandbox and invoke external tools.

The Payload CMS 3.0 MCP server is a model context protocol server designed specifically for Payload CMS, providing code validation, template generation, and project scaffolding functions to help developers build applications following best practices.

A server based on Model Context Protocol, packaged with the official Grok CLI tool, provides MCP clients with the ability to access Grok AI models, supporting three tools: query, dialogue, and code generation.

The MCP server based on the GLM-4.5V model provides intelligent image analysis functions, supporting image acquisition from file paths or the clipboard. It is specifically designed for code content extraction, architecture analysis, error detection, and documentation generation.

Father - MCP is a server tool to help AI models understand and create MCP implementations, providing functions such as documentation, configuration validation, and code generation.

The Maximo MCP Server is an AI integration tool based on the Model Context Protocol that can directly connect AI assistants to the IBM Maximo environment, enabling automatic API discovery, real-time data querying, code generation, and UI building functions, significantly improving the efficiency of Maximo development.

An MCP protocol server focused on the Go language, providing code generation, style guides, and best practice tools that conform to Go idioms, helping language models understand and generate high - quality Go code.

The Pica MCP Server is a server based on the Model Context Protocol, providing seamless integration with over 100 third - party platforms, supporting direct API operation execution, intelligent intent detection, and secure code generation functions.

The BaaS SMS/MMS MCP server is a comprehensive model context protocol server that provides SMS and MMS services, supports code generation in multiple languages and frameworks, optimizes CDN templates, and seamlessly integrates with the BaaS platform.

Gravity Global Figma MCP is a tool that connects Figma and Cursor. It obtains and optimizes design data through the Model Context Protocol (MCP), enabling automatic conversion from design to code, and supports design token extraction and CSS generation.

This project is a JSON-RPC server that encapsulates the OpenAI Codex CLI tool as an MCP service for Claude Code to call. It provides dedicated methods for code generation, explanation, and debugging, supports multiple model selections, and simplifies the integration process between Claude and OpenAI models.

This project is an MCP server used to integrate Google's Gemini model with Claude Code to achieve collaboration between the two AI systems. It provides functions such as direct query, collaborative brainstorming, code analysis, text analysis, content summarization, and image prompt generation.

The OpenAPI MCP Server is a model context protocol service for Claude/Cursor that supports searching and exploring OpenAPI specifications through oapis.org. It helps users obtain the identifiers of APIs, summaries described in simple language, and detailed information about endpoints through a three-step process. It is suitable for API exploration and code generation.

A D3.js Model Context Protocol (MCP) server based on TypeScript and Express, providing D3 visualization documentation, chart recommendation, and code generation functions.

Overview: MCP (Model Context Protocol) is a framework for AI automation through a standardized protocol, which includes key components such as hosts, clients, servers, local data sources, and remote services. The core lies in the server, which provides context, tools, and prompts for clients. MCP enables AI agents to automate tasks, such as code generation, debugging, and interaction with external services like GitHub repositories.

The SchemaFlow MCP Server provides real-time PostgreSQL and Supabase database schema access for AI-IDE, enabling real-time schema context for intelligent code generation through the Model Context Protocol.