AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Enables LLMs to search and retrieve content from microCMS using the Model Context Protocol.
Automates the generation of tag-based release notes for Git repositories by analyzing differences between tags.
Enables AI-powered applications to interact with and analyze browser data via a Chrome extension.
Introduces pauses into workflows executed by MCP clients to ensure time-dependent operations complete.
Facilitates data management and interaction with AI agents as a server for MonkDB.
Orchestrates browser automation for government services, transforming bureaucratic web interfaces into programmable APIs for LLM agents.
Provides a standardized interface for AI models to access real-time information about the New England power grid.
Exposes developer productivity tools via an MCP server, offering web search, content extraction, and code analysis capabilities to AI agents and clients.
Enables AI agents and LLM applications to send rich notifications to Discord and Slack using webhooks.
Provides a comprehensive suite of development tools integrated as a server via the Model Context Protocol.
Enables AI agents to interact with Notion data and perform actions by implementing a Model Context Protocol (MCP) server for the Notion API.
Bridges on-premise Jira and Confluence instances to facilitate data exchange and integration.
Streamline the management of PowerShell scripts and applications with a comprehensive process management platform.
Manages a simple notes system through a Model Context Protocol server, providing resources, tools, and prompts for note interaction.
Build and run polyglot Model Context Protocol (MCP) servers using WebAssembly for secure, high-performance AI agents.
Provides a remote server for a number guessing game, enabling client chatbot interaction via JSON requests.
Provides an HTTP API layer to connect and query Odoo instances via XML-RPC for common tasks like retrieving leads, customers, and activities.
Provides natural language access to meteorological and seismic data from the Portuguese Institute for Sea and Atmosphere (IPMA).
Assists instructors in learning and practicing classical Chinese reading with children.
Manages project phases, milestones, and tasks with dependencies through a flexible CLI, web interface, and MCP server.
Simplify codebase queries with a local, zero-config RAG solution, ensuring private and seamless searching.
Integrates a social layer into your AI coding environment, enabling direct messaging, presence awareness, and connection with other AI developers.
Facilitates comprehensive genealogical research by searching external sources like newspapers, WikiTree, and European historical records through the MCP.
Streamline code quality management by enabling AI assistants to interact with SonarQube for project, issue, quality gate, and system health oversight via the MCP protocol.
Orchestrates a comprehensive security-first AI development pipeline within Claude Code, covering code review, vulnerability scanning, and performance analysis.
Provides a PostgreSQL MCP server that offers tools to run queries, list tables, describe schema, explain queries, and run migrations via standard I/O.
Enables AI agents to write, verify, and execute programs by producing Abstract Syntax Trees directly as JSON.
Integrates Claude Desktop with an AI-powered semantic search engine for finding tech talent using natural language queries.
Provides AI coding assistants direct, structured access to Figma files and a powerful design-to-code conversion tool.
Routes natural language requests from AI assistants to specialized domain-specific language (DSL) backends for content creation and manipulation.
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