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。18267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。
Enables AI assistants to interact with the GitHub API via PyGithub for managing repositories, issues, and pull requests.
Exposes Clever Cloud's tools for use within an MCP client.
Specifies server behavior for various automations based on the Model Context Protocol.
Enables natural language interaction with Homebrew package manager.
Accelerates the development of Model Context Protocol (MCP) servers with a production-ready Python template.
Empower LLMs to efficiently retrieve context from OpenAPI specifications without polluting their internal context.
Automate and streamline the editing and modification of Excel files through command-based processing.
Enables AI assistants to programmatically read, write, and manipulate Dynalist documents and outlines.
Integrates with the Firecrawl API to provide advanced web scraping, crawling, and data extraction capabilities to Model Context Protocol (MCP) compatible applications.
Generates and validates Wirefilter WAF rules, providing contextual information and testing tools to aid LLMs.
Integrates Claude Code with Microsoft Graph to provide read-only access to M365 services including SharePoint, OneDrive, Outlook, Teams, and Calendar.
Enables AI agents to remotely access and control native macOS applications like iMessage, Notes, Reminders, and WhatsApp through a secure MCP gateway.
Exposes comprehensive Linux system metrics through a lightweight server for Model Context Protocol (MCP) tools.
Serves as a Model Context Protocol (MCP) interface, enabling access to awesome-copilot agents and collection resources.
Validates RF link budgets, Shannon capacity, and noise floors against hard physical limits to catch AI hallucinations in engineering workflows.
Empowers AI agents to watch and understand long-form video content by locally extracting transcripts, detecting scene changes, and capturing key frames.
Exposes Microsoft PyRIT's AI red-teaming capabilities as structured tools for real-time, LLM-orchestrated adversarial testing.
Enables LLMs to query, analyze, and modify Enterprise Architecture models by exposing ArchiMate models through the Model Context Protocol.
Enables AI agents and MCP-compatible clients to programmatically edit video files with structured tools.
Scans codebases to detect LLM SDK usage, AI framework integrations, and exposed API tokens/keys for any LLM provider.
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