AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Provides access to various local system utilities through a Model Context Protocol (MCP) server.
Enables AI models to interact with PostgreSQL databases through a standardized protocol.
Manages Twilio resources such as subaccounts, phone numbers, and regulatory bundles through a standardized interface.
Provides access to Google Classroom data through Claude and other AI assistants that support the MCP protocol.
Connect AI assistants to a universal product search engine for discovering and purchasing products across the web.
Enables AI assistants to interact with and manipulate notes within an Obsidian vault.
Enables secure interaction with MySQL databases through a controlled interface.
Analyzes code for bugs, errors, and functionality issues across various languages.
Generates in-depth research reports on specified topics using the Google Gemini AI API.
Provides an experimental Media Control Protocol (MCP) server for vMix.
Provides AI agents with powerful JavaScript/TypeScript code analysis and transformation capabilities.
Exposes Typebot's REST API as callable tools for natural-language interaction within Claude Desktop.
Executes shell commands in parallel through AI assistants, offering real-time progress and results for various system and development workflows.
Wraps the Chatvolt API to manage agents, datastores, and CRM workflows via a Model Context Protocol server.
Extracts database schemas from PostgreSQL migration files by running a temporary database.
Offers a collection of sample projects and resources for backend development.
Facilitates the creation, management, and optimization of SEO-friendly articles directly from AI code editors like Claude Code and Cursor.
Offers a Model Context Protocol server for querying and analyzing Taiwan stock market data.
Integrates FOAAS (Fuck Off As A Service) operations as Model Context Protocol tools for AI clients to generate humorous, explicit responses.
Enables Claude to interact with Infracost for Terraform cost estimation and cloud resource governance.
Provides comprehensive access to Canvas LMS functionality for AI assistants via the Model Context Protocol.
Processes diverse document formats to provide AI-powered semantic search and compliance checking through a Model Context Protocol server.
Facilitates semantic code search, relationship tracking, and real-time monitoring across codebases using AST-aware chunking and incremental indexing.
Manages tasks and projects directly within the terminal, integrating with AI agents for enhanced workflow.
Provides a minimal Model Context Protocol server for demonstrating AI tools, resources, and prompts using the Smithery SDK.
Empowers AI agents with visual capture capabilities, including multi-format support, PII masking, and robust security controls for dynamic analysis of user interfaces.
Provides a standardized interface for AI models to interact with local Obsidian Vaults, extending their context with personal knowledge.
Facilitates the integration of shared AI agent skills and MCP tooling within .NET applications and Orchard Core projects.
Empowers AI agents to access over 100 large language models via LiteLLM's unified API.
Captures decisions, tracks reasoning, and compounds knowledge to preserve human understanding in AI-driven development.
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