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。14140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。
Sends emails directly from Cursor or Claude Desktop using Resend's API.
Enables AI assistants to directly save notes to a user's Flomo account via the Model Context Protocol (MCP).
Provides real-time weather data and alerts via the National Weather Service API.
Exposes Makefile targets as callable tools for AI assistants to automate project workflows.
Generates and serves a Multi-Agent Conversation Protocol (MCP) server for a specified OpenAPI definition.
Converts websites and documents into LLM-ready Markdown for consumption by large language models.
Empowers large language models with secure, remote terminal command execution capabilities.
Aggregates multiple third-party APIs and exposes them as unified Model Context Protocol tools.
Surfaces comprehensive diagnostic information about a connected client, including its capabilities, handshake details, and selected features.
Deploy a remote Model Context Protocol server without authentication on Cloudflare Workers.
Builds versatile and intelligent chatbots leveraging advanced LangGraph concepts for enhanced conversational capabilities and tool integration.
Captures contextual reasoning and successful patterns to enhance AI-driven development, conversation continuity, and reinforcement learning.
Serves Eldora UI components via the ModelContextProtocol for seamless integration into supported IDEs and AI clients.
Connect AI applications to data sources, tools, and workflows, enabling CI Autopilot's power directly within your IDE or AI application.
Exposes the Postman API as a set of Model-Context Protocol (MCP) tools for programmatic interaction.
Provides an MCP server to search and retrieve information from the official Magnolia CMS documentation, enabling AI assistants and language models to access accurate product information.
Provides an HTTP API service to convert Markdown text into Word documents, offering temporary download links.
Provides comprehensive observability for multi-agent workflows, capturing intention, reasoning, and code modifications to enhance traceability.
Secures processes with lightweight OS-level sandboxing, offering filesystem and network controls without containers.
Connects AI agents to the GitLab API, providing a Model Context Protocol server for automation and interaction.
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