# Development tools

Kokoro MCP Server is a speech synthesis service project developed based on Python, providing a guide for setting up the development environment, a Docker deployment solution, and debugging tools, and supporting multi-architecture deployment and modular development.

MCP server that provides text-to-speech services for Claude Desktop, Cursor IDE, etc.

ToolHive is a lightweight tool designed to simplify the deployment and management of MCP servers, providing ease of use, consistency, and security.

An experimental project, not for production use

This project is a resource center for the Cursor AI integrated development environment, containing a collection of rules, protocol services, and tools to improve development efficiency, supporting custom AI behavior and project specifications.

Node.js type definition package

The JetBrains MCP proxy server is a service tool for forwarding requests between clients and JetBrains IDEs. It supports integration with clients such as Claude Desktop and provides multi-IDE connection configuration and troubleshooting functions.

This project provides a set of development toolkits, including AI - assisted templates and utility scripts, to improve development efficiency and project management standardization.

Customize the MCP server list for interacting with Cursor or VSCode

The Buildkite-MCP-Server is a server based on the Model Context Protocol (MCP) that provides pipeline, build, and job information from Buildkite for use by tools such as Claude Desktop and GitHub Copilot.

This is a Deno - based MCP server project that provides basic tool support for Claude, Cursor, and Roo Code, including integration functions for platforms such as GitHub, JIRA, and Slack, as well as development status monitoring tools.

This is an MCP server project designed for self-hosted Supabase instances, providing functions such as database management, schema query, user authentication, and storage inspection, simplifying the interaction between the development environment and local Supabase.

The Auggie MCP server integrates the Auggie CLI tool into the MCP ecosystem, providing code repository Q&A and change implementation functions, and supporting clients such as Cursor and Claude.

The Electron MCP Server is a server based on the Model Context Protocol (MCP), providing comprehensive automation, debugging, and observability capabilities for Electron applications. It implements AI-driven automation through the integration of the Chrome DevTools protocol, supporting real-time UI interactions, visual debugging, deep inspection, and development observability, and can work without modifying the target application's code.

A collection of 46 professional AI sub - agents to expand the functionality of Claude Code, covering multiple fields such as development, architecture, language, infrastructure, quality and safety, data AI, etc., and achieving task optimization through specific model allocation.

An MCP server for agent development tools, providing secure operations under the root project directory, including executing Makefile commands, file operations, and Git operations. Suitable for integration with AI-assisted development tools such as VS-Code copilot.

A localized MCP server designed for PrestaShop development documentation, providing fast full-text search for over 1095 offline documents, including hooks, components, APIs, and development guides.

This is an MCP server for code analysis and web scraping. It supports code quality checking, dependency analysis, static/dynamic web scraping, and API discovery, providing development tools for AI assistants.

Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.

Context Sync is an open-source AI memory layer that provides persistent memory across sessions and projects for development tools, supports multiple platforms such as VS Code, Cursor, and Claude Desktop, and enables AI context synchronization through the MCP protocol.

An MCP server that automatically collects, summarizes, records, and publishes Vibe Coding sessions, providing 15 document management tools and supporting multi - language and multi - platform publication.

A GDPR compliance MCP server that integrates the GDPR knowledge base, compliance workflows, and code analysis tools into the IDE to help developers identify and address data protection requirements in the early stages of development.

The MCP Registry is a platform that provides a list of MCP servers for MCP clients, similar to an app store for MCP servers. The project is currently in the preview stage, the API has been frozen, it supports multiple authentication methods to publish servers, and provides a complete development environment and documentation.

The Context7 MCP Server is an extension developed for the Zed Editor. It integrates the Context7 service to provide the latest documentation support for the assistant, solving the problem of LLMs using outdated information.

The SDKMAN interactive command-line tool provides a convenient interface for browsing, filtering, and installing SDKs, supports all SDKMAN candidate versions, and can integrate with an AI assistant to manage the development environment through natural language.

An MCP protocol server for searching and discovering other MCP server implementations

The JetBrains MCP proxy server is used to forward requests between the client and JetBrains IDEs

A UUID v4 generation server based on the MCP protocol, providing a simple installation and usage process, and supporting deployment in development and production environments.

This project provides an interface for AI assistants to access Haskell documentation. By retrieving authoritative documentation on Hackage in real - time, it solves the problem of insufficient training data for AI in the Haskell field and improves the accuracy of code generation and explanation.

MCP Sniffer is a reverse proxy tool used to capture network traffic between MCP clients and servers, providing a Web UI to visualize request and response data.