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。12016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。
Orchestrates secure Retrieval-Augmented Generation (RAG) with role-based access control, ensuring sensitive data protection and compliance for enterprise knowledge bases.
Validates Tonel formatted Smalltalk source code and method definitions for syntax correctness.
Generates importable n8n workflows from plain English descriptions using Retrieval-Augmented Generation.
Manages Asset Administration Shells (AAS) via Eclipse BaSyx, providing tools for AI assistant interaction in industrial environments.
Provides a versatile MCP server offering practical tools for ML engineering workflows, including local and remote code execution, file management, remote GPU integration, and an LLM proxy.
Provides Claude AI with real-time Bitcoin price and market data through a Model Context Protocol (MCP) server.
Empowers AI assistants with comprehensive web inspection and debugging capabilities to deeply understand page structure, validate layouts, and diagnose visibility issues in real browser environments.
Provides an MCP server to access Deepgram's advanced speech recognition and text-to-speech functionalities.
Enables viewing images from the local filesystem directly within Claude conversations.
Manage Marketo forms by listing, cloning, and approving them using a Model Context Protocol server.
Queries the OSV database for vulnerability information using a lightweight Model Context Protocol (MCP) server.
Provides access to various local system utilities through a Model Context Protocol (MCP) server.
Facilitates learning and integration with the Nylas API by providing documentation, code samples, and interactive tools.
Enables LLM models to perform common RabbitMQ operations via a standardized Model Control Protocol (MCP) interface.
Integrates AI models with Jira through a standardized Model Context Protocol interface.
Enables web scraping, content searching, site crawling, and data extraction using the Firecrawl API.
Enables interaction with the Jira API through the Model Context Protocol, allowing LLMs to manage and retrieve information from Jira.
Exposes Jira data through the Model Context Protocol.
Converts Figma designs into React applications by processing Figma file data and providing it in a React-friendly format.
Leverage LightRAG and Tree-sitter to build a repository knowledge graph from code and documentation for Q&A and implementation planning.
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