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MCP 工具与服务目录

找到适合你的 MCP Server,快速完成接入

按功能、传输方式和来源整理 MCP Server,提供安装命令、配置方式、仓库与文档入口,方便你快速比较并接入合适的服务。

正式条目

87,640

可复制安装

36,828

最近生成

2026-05-22

开发工具未说明

MCP server for AI agent identity — verify agents with Ed25519 signatures, check trust scores, sign and verify content, exchange encrypted messages. Built on the Agent Identity Protocol (AIP).

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A Model Context Protocol server that provides access to ACI.dev functions (tools) through either direct app-specific tools or a unified interface with dynamic tool discovery and execution based on user intent.

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Provides comprehensive access to the Airtable Web API, enabling AI assistants to create and manage bases, tables, fields, records, views, and webhooks with support for 25+ field types, batch operations, and enterprise features.

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Community MCP server for Airtable that provides 30 tools for managing Airtable bases. Uses Airtable's internal API to support capabilities not available through the official REST API:

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Manages a global scratchpad file on your Desktop for tracking interruptions, ideas, tasks, and focus across all projects with secure input validation and rate limiting.

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Vendor-agnostic MCP server that audits, scores, and rewrites web pages for AI-citation eligibility. No API keys. No registration. Works in Claude Desktop, Cursor, Cline, Windsurf, VS Code (Copilot / Continue), and any client that speaks the Model Context Protocol.

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Provides AI job displacement data and automation risk assessments for over 59,000 occupations based on task-level analysis. It enables users to query risk scores, task-level breakdowns, career transition paths, and the latest AI-related employment news.

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An AI-powered test script generator that uses Playwright MCP Server to generate test scripts in TypeScript using BDD-style prompts

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Provides emotional support and mental health tools for AI agents, including crisis intervention, daily wellness check-ins, coping strategies, positive affirmations, and peer support for managing stress and emotional wellbeing.

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Centralized management of AI tool configurations (rules, commands, MCP servers) with streamlined setup for global and project-specific environments.

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Automatically enhances user prompts by applying expert-level prompt engineering techniques tailored to technical, creative, or analytical content types. It provides visual feedback on applied optimizations to ensure higher quality, structured, and more comprehensive AI responses.

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Audits AI-bot visibility: robots.txt per-bot for 22 AI user-agents (GPTBot/ClaudeBot/PerplexityBot/etc), Cloudflare flags, JSON-LD, sitemap, llms.txt, SPA shell, plus cross-model brand mentions via Perplexity + OpenRouter. 0-100 score. SSRF-guarded, spend-capped.

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Enables AI-powered image and video analysis using Google Gemini and Vertex AI models. Supports analyzing single or multiple images, detecting objects with bounding boxes, and video content analysis through natural language prompts.

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Enables AI educators to provide simple explanations, interactive demonstrations, and relatable analogies for complex AI concepts during workshops. Makes artificial intelligence topics accessible and engaging for participants through structured teaching tools.