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

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.

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.

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 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.

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.

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 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.

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.

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.

A code modification and generation service based on large language models

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.

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.

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 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.

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.

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.

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.

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.

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.

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.