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。7366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。
Ai Memory
Provides a persistent, context-aware memory bank extension for Cursor and VS Code to enhance AI workflows.
Base Network
Enables LLMs to perform blockchain operations on the Base network through natural language commands.
App Advisor
Provides an LLM interface for interacting with Spring Application Advisor.
Server Manager
Manages Model Context Protocol (MCP) servers, automating configuration, execution, and monitoring with Supergateway integration.
Tscircuit
Provides an AI assistant with comprehensive access to the tscircuit electronics component registry for search, browsing, and analysis.
Qilin
Provides a framework for building Model Context Protocol (MCP) servers in Go.
Spring AI
Demonstrates Spring AI's integration with Model Context Protocol (MCP) for building Spring Boot applications with server and client functionalities.
Google OAuth Analytics
Deploys a Google OAuth-enabled Model Context Protocol (MCP) server on Cloudflare Workers with integrated analytics tracking.
Codebase Curator
Empowers AI assistants to deeply understand and effectively work with any codebase through AI-powered analysis.
MCP Hub
Framework to simplify building, managing, and deploying Model Context Protocol (MCP) clients and servers.
Raydium LaunchLab
Enables AI agents to launch, buy, and sell tokens on the Raydium Launchpad.
Prysm
Scrape web content with high accuracy and flexibility for AI assistants.
Nmap Integration
Provides a server-side interface for running and managing Nmap scans.
API Tools
Showcases MCP server API capabilities through a demonstration.
Sequential Thinking
Empowers AI agents with advanced meta-cognition and dynamic, reflective problem-solving capabilities.
Code2Flow
Generates code call graphs and serves them via the Model Context Protocol (MCP) for AI application integration.
Python Executor
Executes Python code and manages Python packages within a sandboxed environment.
Client Configuration
Manages configurations for multiple AI client applications using MCP servers.
Contextmgr
Manages development context and workflow through a Model Context Protocol (MCP) server implementation.
TokenScope
Enables large language models to efficiently explore and understand codebases by providing token-aware directory exploration and file content viewing.
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