Token导航 LogoToken导航

MCP 工具与服务目录

找到适合你的 MCP Server,快速完成接入

按功能、传输方式和来源整理 MCP Server,提供安装命令、配置方式、仓库与文档入口,方便你快速比较并接入合适的服务。

正式条目

87,640

可复制安装

36,828

最近生成

2026-05-22

开发工具未说明

Exposes the codetoprompt library to LLM agents for generating comprehensive prompts from directories and retrieving specific file contents. It enables codebase analysis through detailed statistics like token counts and file type breakdowns.

开发工具未说明

A stateful, AST-aware MCP server for structured code review workflows. It enables iterative review sessions with AST-based context localization and provides structured feedback with verdicts and patch suggestions for JavaScript/TypeScript code.

开发工具未说明

AI-powered code-review toolkit: MCP server + CLI to analyze GitHub PRs with local LLM smells, cloud LLM summaries, inline comments, risk gating, and test stub generation.

开发工具未说明

Codevira MCP provides persistent memory and project context for AI coding agents by maintaining a shared knowledge base of decisions, roadmaps, and code relationships across sessions. It enables semantic code search and automated context tracking to ensure consistency and reduce token overhead during complex development tasks.

开发工具未说明

An MCP server that indexes Python codebase structures to help AI assistants discover and reuse existing functions instead of duplicating code. It enables real-time searching of function metadata, duplicate detection, and structural analysis across multiple projects.

开发工具未说明

Generates narrated video walkthroughs of git commits, staged/unstaged changes, or entire codebases with AI-powered analysis, syntax-highlighted code visualization, and text-to-speech narration.

开发工具未说明

Integrates with Google CodeWiki to search, fetch, and cache documentation for GitHub repositories, enabling easy access to repository documentation through natural language queries.

开发工具未说明

Local MCP server that wraps the codex CLI asynchronously, returning a job_id immediately to avoid MCP protocol timeouts, and providing tools to start, poll, list, and cancel codex jobs.

开发工具未说明

An MCP server for the OpenAI Codex CLI that provides coding assistance with multi-turn session management and reasoning depth control. It enables users to perform code analysis, generation, and refactoring through Claude with native resume support for conversational context.

开发工具未说明

An MCP server that wraps the OpenAI Codex SDK to deploy multiple specialized AI agents with individual configurations for models, sandboxing, and behavior. It enables users to manage dedicated tools for tasks like code review and test writing through a customizable agent factory.

开发工具未说明

Enables AI coding assistants like Claude Code, Cursor, and Codex to share chat logs, terminal history, and session context with each other. Eliminates the need to re-explain context when switching between different AI coding tools.

开发工具未说明

A Model Context Protocol server that enables users to control and interact with Google Colab instances via a reverse proxy. It supports executing shell commands, running persistent Python code, and monitoring system resources like CPU, GPU, and RAM.

开发工具未说明

An MCP server that bridges local AI agents to Google Colab notebooks, enabling execution of Python code and interaction with notebook states directly from the agent.

开发工具未说明

Enables searching over 5,400 Solana hackathon projects and 84,000 crypto archive documents to validate startup ideas and research the crypto ecosystem. It provides tools for cohort analysis, project deep-dives, and access to historical cypherpunk literature and protocol documentation.

开发工具未说明

Enables AI video automation pipeline: ComfyUI image-to-video, FFmpeg processing, After Effects template rendering, review, and multi-platform publishing preparation.

开发工具未说明

Enables Claude to generate images through a local ComfyUI instance using Stable Diffusion and SDXL models via natural language. Users can trigger image generation, list available checkpoint models, and monitor the ComfyUI queue status directly from their MCP client.

开发工具未说明

An MCP server that uses AI to analyze code diffs and transform vague commit messages into readable, conventional commit history. It helps maintain project documentation quality by challenging unclear messages and suggesting improvements based on actual code changes.