AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Provides tools to fetch and search news from The Verge's RSS feed.
Demonstrates a basic JSON-RPC client and server implementation using Node.js.
Provides a modular server implementing the Model Context Protocol standard with tools for interacting with GitHub, GitLab, Google Maps, memory storage, and Puppeteer.
Enables AI assistants to interact with feature flags for dynamic application behavior.
Enables LLM applications to interact with a Dgraph database using the Model Context Protocol (MCP).
Extracts plain text from web pages using the WebforAI library via a Cloudflare Workers-based Model Context Protocol (MCP) server.
Access calendars, contacts, and files via the Model Context Protocol (MCP).
Diagnoses and repairs configuration issues for Model Context Protocol (MCP) servers in Claude Desktop.
Provides an MCP server to interact with the Pluggy API.
Exposes FileMaker scripts as dynamically created tools using a local Model Context Protocol (MCP) server.
Enables AI assistants to compile, test, run, and analyze Go code directly through the Model Context Protocol (MCP).
Integrates a continuous, background cognitive processing system that enables AI models to think between conversations.
Automates comprehensive Google Workspace tasks through 84 specialized tools, designed to run as a persistent background service with centralized OAuth authentication.
Empowers large language model agents to integrate with Gemini CLI for its expansive context windows and programmatically perform various development tasks.
Empowers AI coding agents to control and inspect a live Chrome browser, granting full access to Chrome DevTools for comprehensive web automation, debugging, and performance analysis.
Facilitates AI model interaction with the Terraform IBM Modules ecosystem, enabling intelligent discovery and utilization of IBM Cloud infrastructure resources.
Facilitates semantic code search, relationship tracking, and real-time monitoring across codebases using AST-aware chunking and incremental indexing.
Exposes AWS S3 operations through a secure Model Context Protocol (MCP) interface for AI agents and clients.
Aggregates multiple Model Context Protocol servers into a single, secure, and authenticated endpoint for AI clients.
Extends the Gemini CLI to facilitate interaction with a Vikunja task management instance.
Generates Model Context Protocol (MCP) tools automatically from OpenAPI specifications, allowing AI assistants and LLMs to interact with any REST API.
Provides real-time DevOps observability for GitHub organizations, analyzing Actions, Deployments, and PR health to deliver visual reports through AI-native interfaces.
Generate a wide range of game assets, including sprites, 3D models, animations, sound effects, music, and voiceovers, using artificial intelligence.
Enables natural language querying of Surfa Analytics data through AI agents and MCP-compatible clients.
Connects any MCP-compatible AI client to any JDBC-supported database with built-in safety features.
Validates Mermaid diagram syntax and identifies diagram types without external dependencies.
Converts scientific PDFs into highly accurate Markdown, preserving complex mathematical equations and document structure for agent-based workflows.
Enables Claude to generate 3D-printable CAD models and prepare them for fabrication on 3D printers like the Bambu Lab X1C.
Transforms any apcore-based project into a Model Context Protocol (MCP) server and OpenAI tool provider without requiring code modifications.
Establishes a local industrial control plane for agentic software engineering, enabling execution of the leaked Claude Code harness with open-weight models via Ollama.
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