AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Deploy Haystack pipelines as REST APIs and MCP Tools with ease.
Provides professional, read-only operations and monitoring for PostgreSQL databases, offering performance insights, structure visibility, and configuration details.
Provides AI agents with a comprehensive operating system, enabling access to tools, cognitive systems, and specialized services through the Model Context Protocol.
Provides access to Reddit's public API, allowing LLMs to interact with and retrieve content from Reddit.
Enables Claude to interact with locally running LLM models through LM Studio by providing a Model Control Protocol (MCP) server.
Enables AI assistants to interact with OmniFocus tasks and projects using natural language.
Integrate Model Context Protocol (MCP) servers into applications, providing access to a growing ecosystem of specialized AI capabilities.
Integrates radare2 with AI assistants through a MCP server for binary analysis.
Implements the Zettelkasten knowledge management methodology, enabling creation, linking, exploration, and synthesis of atomic notes.
Enables comprehensive food ordering functionalities, including restaurant discovery, menu browsing, order management, and secure QR code payments.
Empowers Claude to improve complex reasoning through a dedicated structured thinking space.
Connects Readwise to Large Language Models (LLMs) through a local Model Context Protocol (MCP) server.
Enables Large Language Models to securely query and analyze BigQuery datasets through a standardized Model Context Protocol interface.
Facilitates testing and evaluation of MCP servers and agents through an open-source client.
Enables MCP clients to efficiently extract information about GitHub repositories, including summaries, directory structure, and file content.
Standardizes interaction with Apache Airflow via the Model Context Protocol (MCP).
Connects FreeCAD to Claude AI and other Model Context Protocol (MCP) tools, enabling prompt-assisted CAD 3D design.
Indexes large codebases and queries code graphs with natural language using a high-performance GraphRAG implementation.
Bridges multiple OpenAI-compatible LLMs, providing an interface for querying various AI perspectives with tool access.
Enables semantic search and retrieval of documentation using a vector database, allowing users to add and query documentation from URLs or local files using natural language.
Enables AI-powered search and LLM.txt generation for your website with self-hosting capabilities.
Enables seamless integration between Ollama's local LLM models and Model Context Protocol (MCP) compatible applications.
Build simple projects with logging and automatically fix issues based on logs for esp-idf build commands.
Enables interaction with CodeQL through structured commands for tools and AI agents.
Provides scaffolding, architectural patterns, and validation rules to scale AI coding agents and ensure consistent, convention-following code generation.
Connects Model Context Protocol (MCP) clients like Claude to Agent-to-Agent (A2A) protocol agents.
Enables AI assistants to interact with Confluent Cloud REST APIs for managing Kafka topics, connectors, and Flink SQL statements.
Transforms N8N workflows into Model Context Protocol servers, enabling their use as custom tools with AI assistants like Claude and Cursor.
Curates a list of Model Context Protocol (MCP) servers specifically for cryptocurrency-related applications.
Enables Dify 1.0 to utilize MCP SSE for discovering and calling tools through agent strategies.
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