AI를 즐겨 사용하는 도구에 연결하기 위한 MCP 서버 전체 컬렉션을 살펴보세요.
Enables interaction with the Freepik API for accessing stock photos, vectors, PSDs, and Mystic AI image generation.
Enables LLM agents to interact with Gel databases using EdgeQL queries for automated schema learning, query writing, validation, and execution.
Provides DuckDuckGo search capabilities through the Model Context Protocol.
Executes shell commands securely across multiple platforms using an MCP server.
Enables searching for 12306 train tickets using a Model Context Protocol (MCP) server.
Automates San Francisco tennis court bookings on recreation websites through browser automation.
Generates both vector and raster images using EverArt's AI models, providing flexible storage and format conversion.
Connects your Anki flashcard collection to AI assistants for interactive learning, content creation, and analytics.
Provides safe, structured access to memory analysis and debugging functionality via the Model Context Protocol (MCP).
Enables AI agents to interact with Canvas LMS for querying courses and resources.
Empowers AI Agents to interact with OpenSearch using a standardized and extensible interface.
Analyzes website performance using Google's PageSpeed Insights API for detailed metrics and optimization suggestions.
Connects Qonto financial accounts and data to AI models, enabling contextual responses and automated financial operations.
Generates images using Replicate's FLUX model and stores them in Cloudflare R2.
Analyzes text documents by counting words and characters.
Provides persistent memory and instruction management for VS Code's GitHub Copilot, ensuring it remembers user preferences and context across conversations.
Extracts web content using Cloudflare Browser Rendering for use in LLM context.
Optimizes browser automation for AI assistants by reducing web page content by up to 90% using an innovative semantic snapshot algorithm.
Enables AI applications to create, edit, and manage Word documents through natural language interactions.
Wraps the Volcano Engine TTS API into a standard MCP protocol tool for one-click speech synthesis using natural language parameters.
Connects AI models to creative applications through a standardized Model Context Protocol.
Enables AI assistants to programmatically manage Jira issues through the Jira REST API.
Enables AI assistants to interact with Heptabase backup data for searching, retrieving, analyzing, and exporting whiteboards and cards.
Provides encryption, decryption, hashing, and encoding functionalities through a Model Context Protocol (MCP) server.
Connects to the Daisys AI platform for use with MCP clients.
Provides a minimal TypeScript template for building Model Context Protocol (MCP) servers.
Provides web development tools like screenshot capture for use with AI coding assistants.
Converts various file types and web content into Markdown format with enhanced UTF-8 encoding support.
Enables interaction with Timeplus clusters through an MCP server, providing tools for querying, listing databases and tables, and managing Kafka topics and streams.
Provides a reference implementation for protecting Model Context Protocol (MCP) tools, resources, and prompts with a paywall using Nevermined's Python SDK.
Scroll for more results...