发现为 GitHub 构建的 923 个 MCP。
Index and search code across multiple repositories and branches from various code hosting platforms.
Programmatically assembles prompts for LLMs using JavaScript to orchestrate LLMs, tools, and data in code.
Orchestrates an enterprise-grade agile development workflow using role-based AI agents and quality gates for automated software delivery.
Enables coding agents to communicate and coordinate asynchronously, providing a mail-like system with identities, inboxes, and shared context.
Unify access to diverse data sources, from files and databases to popular applications, by querying them with SQL and integrating with large language models.
Enables rapid, trigram-based text search capabilities specifically for source code repositories.
Automates AI-powered workflows directly within your codebase.
Transforms codebases into searchable knowledge bases for AI assistants, providing both semantic and regex search capabilities via the Model Context Protocol.
Collects and shares AI prompts, best practices, and curated rules to enhance developer workflows within AI-assisted coding tools.
Connects local LLMs (via Ollama) to Model Context Protocol (MCP) servers, allowing open-source models to use external tools.
Index, search, and analyze code repositories with large language models using a Model Context Protocol server.
Provides an MCP server for codebase indexing and semantic search, enabling AI models to understand and interact with project code.
Leverages AI to provide advanced code search and discovery across GitHub and NPM, understanding connections between repositories and packages.
Detects codebase patterns and conventions to provide AI agents with deep context for code generation and analysis.
Connects AI agents to databases, providing team's proven query patterns for collaborative learning and faster development.
Builds a project-specific knowledge graph to supercharge AI assistants with context-aware Retrieval Augmented Generation (RAG) capabilities.
Empowers AI assistants to act as a personal chef, recommending recipes and planning meals based on a comprehensive cooking guide.
Enforces Protocol Buffer style and conventions through linting and automated fixes.
Provides a comprehensive personal setup for Claude Code and OpenAI Codex, including battle-tested commands, MCP server configurations, and quality hooks.
Facilitates the use of Large Language Models (LLMs) to edit code within extensive existing codebases by providing structured tools and context.
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