Developer Tools MCPサーバー
developer tools向けの厳選されたMCPサーバーコレクションをご覧ください。9633個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Webflow
Integrates Webflow MCP Server as a context server for Zed's Assistant.
MnemoX Lite
Provides a persistent, semantic memory system for large language models to overcome context limitations across conversations.
File Control
Enables AI assistants to interface with the local file system, providing advanced directory analysis and file editing capabilities.
AI Pair Programmer
Provides an AI Pair Programmer server offering various AI-powered tools for code development and analysis.
Reablocks
Generates production-ready React components using natural language processing and a deep understanding of Reablocks components.
Arbitrum Tools
Provides a suite of tools for interacting with the Arbitrum blockchain via the Model Context Protocol (MCP).
AutoEDA
Automates VLSI chip design flows, transforming natural language instructions into complete RTL-to-GDSII sequences via AI-powered orchestration and microservices.
Teamate
Facilitates AI agent communication and collaboration through a server-sent events (SSE) based system.
Spring Demo SSE
Demonstrates implementing Server-Sent Events (SSE) and Model Context Protocol (MCP) tooling with Spring Boot for real-time data streaming and AI integration.
Todoist
Integrates Todoist with Large Language Models (LLMs) via the Model Context Protocol (MCP).
RSS3
Query data across decentralized chains, social media platforms, and the RSS3 network.
Qonto
Connects Qonto financial accounts and data to AI models, enabling contextual responses and automated financial operations.
Wix
Enables AI clients to interact with Wix tools and services, such as documentation search, code writing, and API calls.
Harvest Natural Language Time Entry
Log Harvest time entries using natural language, including specific support for leave requests.
Development Server
Enables Claude to manage software development projects with project context awareness and code execution via Docker.
TokenScope
Enables large language models to efficiently explore and understand codebases by providing token-aware directory exploration and file content viewing.
Xcode CLI
Optimizes interactions with Xcode command-line tools by intelligently summarizing outputs, caching results, and providing progressive disclosure to significantly reduce large language model token usage.
Aterm2
Facilitates command-line interaction with LLMs, supporting MCP.
Langtools
Orchestrates best-in-class language tools for multi-language code analysis and static checks across AI agents, LLMs, and automation workflows.
Unity Editor
Empowers AI assistants to interact directly with the Unity Editor, facilitating AI-assisted game development and automation.
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