AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Enables Claude and Langchain to perform web searches using the Brave API via an MCP server.
Enables web scraping, content searching, site crawling, and data extraction using the Firecrawl API.
Enables programmatic access to a Ghost CMS instance using the Model Context Protocol.
Automates interactions with the Chrome browser via a server.
Enables advanced automation and interaction with GitHub APIs through a Model Context Protocol (MCP) server.
Enables control and monitoring of IoT devices and persistent memory management via the Model Context Protocol.
Connects Large Language Models to live Basecamp data by exposing it as relational SQL models via a Model Context Protocol (MCP) interface.
Connects large language models like Claude Desktop to live Exact Online data via CData JDBC Drivers for natural language queries.
Connects Large Language Models and AI clients to live Sugar CRM data through a read-only Model Context Protocol (MCP) interface.
Provides a Model Context Protocol interface for querying Wikipedia content.
Enables AI assistants to securely access and interact with Snowflake data warehouses for SQL operations and natural language queries.
Generates and inspects webhook endpoints for efficient testing and debugging of HTTP requests.
Enables large language models to interact with web pages through Anchor's cloud-based browsers.
Empower AI assistants to manage, monitor, and secure cloud resources across AWS, Azure, and GCP through the Model Context Protocol.
Securely fetches web content and extracts data from web pages without executing JavaScript within a sandboxed environment.
Access Kalshi prediction market data effortlessly with tools for events, trades, and real-time analytics.
Provides a unified Model Context Protocol (MCP) server for AI agents to seamlessly interact with multiple SQL databases including MySQL, PostgreSQL, MSSQL, DM8, and SQLite.
Aggregates real-time trending topics and hot search data from over 30 major platforms through unified RESTful and WebSocket APIs.
Provides a local-first AI memory layer that integrates development context across VS Code, Terminal, and MCP-compliant AI tools.
Isolate processes with OS-native filesystem and network controls, offering a lightweight security solution without containers or virtual machines.
Enables AI assistants to interact with the Templated API for automated image, video, and PDF generation, and template management.
Provides a lightweight server for querying the Validity Everest API.
Enhance AI coding tools with surgical project understanding and optimized context management.
Integrate AI agents like Claude and ChatGPT with Deveras scanners for WCAG accessibility, AI Engine Optimization, and AI agent security analysis.
Integrates high-fidelity Text-to-Speech capabilities into AI assistants using Google's Gemini 2.5 TTS models.
Provide live, real-time trend data from over 20 diverse sources directly to AI assistants and agents through a single, managed MCP connection.
Access and contribute to a vast database of community-verified fixes for technical errors directly through an AI assistant.
Provides native control and introspection for iOS Simulators, enabling AI assistants to interact with and debug iOS applications without interference.
Integrates AI assistants with Moodle's internal structure to accelerate plugin development.
Exposes DBeaver database connections to Claude as secure tools for direct querying and management.
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