# AI development

The Flutter MCP Server is an open - source implementation of the Model Context Protocol (MCP) for the Dart/Flutter ecosystem. It provides a unified API interface for AI assistants and developer tools, supports remote calls to the Dart/Flutter development toolchain, and enables secure and programmable automated development processes.

A tool that enables seamless integration of Claude AI with Cursor IDE desktop applications, enhancing the AI-assisted development workflow through the MCP protocol.

DeepView MCP is a code analysis service based on the Gemini large model, providing IDEs with the ability to understand the context of the entire codebase.

Spec Workflow MCP is a tool that guides AI to systematically complete software development through a structured workflow (requirements → design → tasks) to ensure that code implementation is consistent with business requirements.

A Blazor component metadata server based on the Model Context Protocol that analyzes Blazor components in assemblies through reflection and provides real - time component information query services for AI development tools.

Specification for language model providers in AI SDK

This project is a Python-based MCP server for integrating custom tools in AI-assisted development environments, providing addition operations and API key retrieval functions.

The MCP Server Starter is a server startup project that provides learning resources for AI - assisted software development and is associated with multiple developer tool projects.

Docfork is an MCP service that provides the latest documentation for AI code editors. It supports documentation synchronization for over 9000 libraries, ensuring that developers can obtain accurate and real-time API documentation and code examples.

Cursor Rust Tools is an MCP server that provides access to Rust Analyzer, Crate documentation, and Cargo commands for the LLM in Cursor, improving the efficiency of AI agents in Rust development.

CTX is a tool that connects code repositories with large language models (LLMs). By automatically generating structured context files, it solves the problem of low efficiency in code context transfer in AI development. It supports collecting information from various sources such as code files, Git repositories, and web pages, and can directly provide project context for AI assistants through the MCP server.

The GitHub MCP Server is a server based on the Model Context Protocol, providing seamless integration with the GitHub API and supporting developers to build automated workflows and AI - driven tool applications.

The Chroma MCP Server is a model context protocol server designed for the Chroma vector database, aiming to provide persistent working memory functions for AI-assisted development, supporting cross-session context storage and semantic retrieval.

AgentMode is a full - featured Model Context Protocol (MCP) server that provides an integrated data integration solution for AI development by connecting to multiple databases, data warehouses, cloud services, etc.

This project is an MCP service for connecting to MSSQL databases, supporting AI development tools such as Cursor, Windsurf, and Claude Code, and providing database query functions.

The MCP server is a platform that supports AI in autonomously developing software, providing functions such as file operations, network requests, database queries, Git management, and system command execution, enabling full-process automated development from concept to testing.

The project involves documentation, sample code repositories, and community resources for the LangChain framework, including technical content such as Python programming, AI agent development, FastAPI integration, and LLM fine-tuning.

Pro MCP is a community-driven directory of Model Context Protocol (MCP) servers, aiming to provide a comprehensive list of MCP servers for developers and AI enthusiasts and promote the development of intelligent applications.