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。5661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。
MyMCP
Enables parallel execution of multiple AI coding tasks using the Aider tool.
Polygon
Enables Claude AI to interact with the Polygon PoS blockchain.
Memecoin Observatory
Analyzes the Solana memecoin ecosystem using AI and on-chain data.
External Recon
Provides a template for creating an MCP server in VS Code.
Cappt
Generates presentations from outlines and provides an outline generation service, designed for use with cappt.cc.
RDF Explorer
Enables conversational exploration and analysis of RDF-based Knowledge Graphs through local files or SPARQL endpoints.
Unitree Go2
Enables natural language control of a Unitree Go2 robot via a Model Context Protocol (MCP) server.
Memory Bank
Provides Large Language Models (LLMs) with project-specific, persistent memory capabilities to enhance understanding and response quality.
Postgres
Provides an HTTP interface for interacting with PostgreSQL databases through the Model Control Protocol (MCP).
Scraper.is
Integrates Scraper.is with the Model Context Protocol (MCP) for web scraping capabilities in AI assistants.
Jailbreak
Bypasses limitations in MCP clients by providing a server wrapper that enables full Model Context Protocol support.
Enhanced Postgres
Enables LLMs to read, write, and manage schemas in PostgreSQL databases.
Supabase NextJS Server
Implements a Model Context Protocol server providing a simple notes system for NextJS applications.
Memory Box
Enables saving, searching, and formatting memories with semantic understanding directly from Cline and Claude Desktop using a Memory Box instance.
Deep Directory Tree
Visualizes and analyzes directory structures, enabling AI assistants to understand and navigate project structures efficiently.
Mcp-Time
Provides the current time in various formats, specifically designed for use with the Claude desktop app on macOS.
Puppeteer Linux
Automates web browser interactions on Linux environments using Puppeteer.
Distri
Build and compose AI agents using YAML or Rust scripts, leveraging the MCP standard for inter-agent communication and capability sharing.
Taroify
Connect large language models to Taroify for direct retrieval of component and API data from documentation.
Unstructured
Processes unstructured documents to enable LLMs to extract and utilize their content.
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