探索我们完整的 MCP 服务器集合,将 AI 连接到您喜爱的工具。
Provides a standardized template for building Model Context Protocol (MCP) servers with TypeScript/Node.js.
Facilitates communication between AI models and external resources using the Model Context Protocol.
Generates an MCP Server from a GraphQL schema.
Enables MCP Clients to remember user information across conversations by leveraging vector search technology.
Facilitates security scanning of container images using Kubescape CLI and offers AI-powered insights for compliance.
Provides Language Learning Models with a safe interface to discover and execute system commands on the local machine via the Model Context Protocol.
Deploys an unauthenticated remote Model Context Protocol server on Cloudflare Workers.
Deploys an authentication-free Model Context Protocol server directly onto Cloudflare Workers.
Provides a robust web content search and extraction service with intelligent browser instance management.
Deploys an authentication-free Model Context Protocol (MCP) server on Cloudflare Workers for AI agent tool integration.
Provides global public holiday data for AI assistants via the Calendarific API.
Simplifies the creation of Model Context Protocol (MCP) servers using the Server-Sent Events (SSE) protocol.
Manages todo lists with YAML-based persistence, integrating with Model Context Protocol (MCP) clients for natural language interaction.
Enhances AI collaboration within VS Code by injecting project context and maintaining workspace-specific conversation history across multiple AI providers.
Extracts orders, product data, and web content from Real Canadian Superstore with direct authentication.
Facilitates real-time team communication and notification sharing across various AI assistants.
Integrates Google Maps with a custom cab booking system to enable conversational AI-driven trip planning, itinerary generation, and real-time cab booking.
Host Model Context Protocol (MCP) prompts and tools on Databricks Apps, enabling AI assistants like Claude to interact with your Databricks workspace.
Demonstrates setting up a basic Model Context Protocol server with custom tools for integration with Claude Desktop.
Provides a simple example for building an MCP server using FastMCP and Python, designed for use with Smithery.
Provides AI agents with secure, read-only access to a curated set of Unix-like command-line tools via a stdio MCP server.
Preserve and resume AI conversation context efficiently across sessions with minimal token overhead.
Transforms Markdown content into professionally styled PDF documents with support for syntax highlighting, custom CSS, Mermaid diagrams, and optional page numbers and watermarks.
Facilitates real-time, multi-language collaborative code editing, enabling users to write, edit, share, and execute code directly in the browser with live synchronization.
Connects AI agents to the GitLab API, providing a Model Context Protocol server for automation and interaction.
Exposes a .NET REST API for managing books and categories to AI models using the Model Context Protocol (MCP).
Accesses real-time Belgian railway data through the iRail API via a Model Context Protocol server.
Analyze economic data on interest rates, jobs, inflation, housing, and bank health from multiple government sources with interactive charts and stateful signal tracking.
Provides a local environment for developing, testing, and debugging Model Context Protocol (MCP) agents and servers.
Provides an AI-powered DevOps knowledge base for Claude, offering best practices, templates, and automation to streamline infrastructure projects.
Scroll for more results...