AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Enables AI assistants to access and utilize OpenAI's web search functionality during conversations.
Enables AI assistants to interact with LogSeq graphs via its Local HTTP API.
Empowers LLMs to maintain memory state across interactions using a neural memory system that learns and predicts sequences.
Connects Large Language Models to Supabase projects using the Model Context Protocol.
Enables AI-powered web research through Perplexity's interface without requiring an API key.
Provides a web interface for interacting with Large Language Models, managing context aggregation, and coordinating client-server communication within the Model Context Protocol architecture.
Enables AI agents to interact with GitLab merge requests and issues via the Model Context Protocol (MCP).
Enables AI applications to access and query databases using the Legion Query Runner with Model Context Protocol (MCP) integration.
Enables natural language interaction with Excel files for data analysis, visualization, and manipulation.
Enables intelligent chat applications through the Model Context Protocol, supporting both web and desktop environments.
Bridges Model Context Protocol (MCP) stdio to HTTP SSE, facilitating communication between clients and servers.
Enables interaction with Markdown knowledge bases through an MCP server.
Connects AI agents to OP.GG data via a Model Context Protocol implementation, enabling function calling for data retrieval.
Provides a Model Context Protocol (MCP) server offering a suite of tools for interacting with Google Cloud's Vertex AI Gemini models, focusing on coding assistance and query answering.
Generates production-ready Model Context Protocol (MCP) server boilerplate from OpenAPI specifications, enabling exposure of existing APIs as powerful tools for AI agents.
Enables language model assistants to access and search the OpenTofu Registry for information about providers, modules, resources, and data sources.
Provides AI-powered comprehensive research and analysis capabilities by integrating with advanced deep research agents.
Automates Tailscale network management and monitoring through a standardized Model Context Protocol interface.
Automate Unity Editor operations and game development tasks using natural language commands via AI assistants.
Queries authoritative medical APIs including FDA, WHO, PubMed, and RxNorm to provide comprehensive drug information, health statistics, and medical literature.
Provides a production-ready, OAuth-enabled Model Context Protocol (MCP) server template built in Go for seamless integration with AI providers.
Connects AI assistants, developer IDEs, and data platforms to SurrealDB databases and SurrealDB Cloud.
Bridges AI coding assistants to Google's Gemini AI using the official CLI for cost-effective, direct model interaction.
Converts any GitHub repository or local directory into a searchable Model Context Protocol (MCP) server for AI assistants.
Unifies multiple Model Context Protocol (MCP) servers into a single intelligent hub, simplifying tool discovery and management for AI assistants.
Connect AI agents to Databricks for enterprise data access and developer automation.
Provides seamless access to SigNoz observability data through AI assistants and LLMs, enabling natural language queries for metrics, traces, and logs.
Empower AI assistants with deep, semantic understanding of your codebase for advanced navigation, impact analysis, and architectural insights.
Integrates AI assistants with native Apple applications on macOS, enabling control and data access via AppleScript.
Provides on-demand, precise access to the actual Android Open Source Project (AOSP) and Jetpack library source code for AI tools.
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