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。20484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 interaction with a Paperless-NGX API server through the Model Context Protocol (MCP).
Enables access and management of Langfuse prompts through the Model Context Protocol.
Integrates MiniZinc constraint programming with Large Language Models via the Model Context Protocol for constraint optimization and solving.
Enables Claude AI to interact with the Solana blockchain through a standardized Model Context Protocol interface.
Standardizes interaction with Apache Airflow via the Model Context Protocol (MCP).
Enables AI models to interact with MySQL databases through a standardized interface.
Integrates AgentQL's data extraction capabilities as a Model Context Protocol server.
Enables LLMs to retrieve application telemetry data, analyze distributed traces, and use results from SQL queries executed via Logfire APIs.
Enables Large Language Models to analyze Active Directory and Azure Active Directory environments through natural language queries.
Facilitates the development of retrieval agents using LangGraph for question answering.
Transforms natural language commands into ROS commands for robot control, enabling robots to perform complex tasks and adapt to diverse environments.
Evaluates the robustness of AI assistant systems against common attack patterns, ensuring security and compliance.
Enables programmatic sending of Instagram direct messages through a Model Context Protocol server.
Automates intelligent strategy generation, real-time trading execution, and backtesting analysis for a modular quantitative trading system.
Delivers Svelte developer documentation and context to Large Language Models via Model Context Protocol (MCP) endpoints.
Empower Delphi applications with advanced AI capabilities, including Retrieval-Augmented Generation (RAG), autonomous agents, and a universal LLM connector.
Securely connects enterprise knowledge with AI assistants, IDEs, or agent platforms using the Model Context Protocol.
Enhance AI coding agents' efficiency by providing precise, local semantic search across large codebases, significantly reducing costs and latency.
Analyzes codebases to detect tech stacks, identify growth opportunities, and generate actionable Product-Led Growth implementation plans.
Enables AI clients like Claude to bidirectionally interact with Figma, generating UI and extracting design data.
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