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。13166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。
Exposes Aider's AI coding capabilities programmatically via WebSocket using the Model Context Protocol (MCP).
Simulates customer orders from a restaurant menu, allowing for real-time status tracking and integration with MCP systems.
Facilitates Meta-agent Communication Protocol (MCP) interaction via Server-Sent Events (SSE) for n8n workflows.
Enhances user requests into AI-optimized prompts using advanced prompt engineering techniques.
Transforms dispersed documents into a unified, searchable knowledge base.
Enables AI assistants to control a browser through a set of tools, allowing web automation tasks.
Provides a modular and extensible tool server built on FastMCP, supporting multiple tools organized across files.
Enables AI assistants like Claude to interact with and manage content within the microCMS content management system.
Provides weather information through a Model Context Protocol server.
Enhance vibe coding with an AI-powered assistant.
Provides access to over 50 AI-powered tools for text processing, creative writing, analysis, and business applications via the Model Context Protocol.
Exposes a REST API for managing and interacting with Model Context Protocol (MCP) resources.
Connects agents to Elasticsearch data, enabling natural language interaction with indices through the Model Context Protocol.
Empowers Language Models with context to automate and optimize SQL Server Database Administration tasks.
Serves markdown documents from a local directory, providing a simple interface for managing and accessing them using the Model Context Protocol (MCP).
Provides an interface to obtain setup information via a REST API using the Model Context Protocol.
Provides offline access to TwitterAPI.io (X API) documentation, including endpoints, pages, and blogs, specifically for AI assistants like Claude.
Exposes NetBox API functionality to AI systems via a read-only FastMCP server with natural language query support.
Scrapes websites, from basic HTTP requests to dynamic sites requiring JavaScript execution, using TypeScript.
Exposes Binary Ninja's reverse engineering capabilities to LLM clients via the Model Context Protocol.
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