AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Connects Claude Desktop to read and search your Obsidian vault's Markdown notes.
Connects to a Kubernetes cluster and enables management via commands.
Enables LLMs to inspect MySQL database schemas and execute read-only queries.
Connects to the Perplexity API, enabling real-time, web-wide search within the Model Context Protocol ecosystem.
Connects Language Servers to Model Context Protocol (MCP) clients, providing advanced code analysis and manipulation capabilities to LLMs.
Enables AI assistants to interact with the Unity Editor for game development workflows.
Integrates Tavily's search and data extraction capabilities with AI assistants via the Model Context Protocol.
Enables Large Language Models to interact with Excalidraw diagrams and drawings through a structured API.
Enables interaction with Text to Speech and video/image generation APIs through the Model Context Protocol (MCP).
Provides a template for creating and distributing Unity packages with versioning and dependency management.
Connects Slack workspaces to Model Context Protocol (MCP) for enhanced integration with AI models.
Integrates JADX decompiler with Model Context Protocol (MCP) for AI-powered static code analysis and real-time reverse engineering.
Provides a user interface for Nx and Lerna monorepos, enhancing developer workflow and AI integration within code editors.
Simplifies the development, running, evaluation, and orchestration of LLM-based agents using YAML and a CLI.
Orchestrates components within a lightweight, high-performance rule engine framework for Go applications.
Auto-loads databases in VS Code and provides affordances to aid development and debugging.
Fetches and converts Deepwiki content to Markdown for use in code editors and other MCP-compatible clients.
Scans Model Context Protocol (MCP) servers for common security vulnerabilities like prompt injections and tool poisoning.
Connects MCP clients that only support local (stdio) servers to a remote MCP server, enabling authentication support.
Provides a secure sandbox environment to test payloads against detection mechanisms before deployment.
Offers a comprehensive production toolkit for large language models, providing observability, prompt management, and evaluation capabilities to enhance LLM development.
Provides a modular and extensible Python framework for building and managing Auto-GPT agents.
Automates AI-powered workflows directly within your codebase.
Enables AI assistants to access and search official Microsoft documentation in real-time.
Integrates Azure DevOps capabilities directly into development environments by providing a local server that enables interaction with various services.
Integrates Google Analytics APIs with a local Model Context Protocol (MCP) server to provide LLM-consumable tools for analytics data.
Integrates AI assistants like Claude Code and Codex with Google's NotebookLM, enabling grounded, citation-backed research directly from your documentation.
Enhance LaTeX academic papers with an AI-powered writing assistant offering intelligent suggestions and seamless Overleaf integration.
Transforms large codebases into a searchable, hierarchical feature graph by combining AST parsing, spectral clustering, and Obsidian-style linking.
Generates secure, full-featured REST and GraphQL endpoints for various databases, enabling CRUD operations across multiple environments.
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