发现优秀的 MCP 服务器

通过 MCP 服务器扩展您的代理能力,拥有 63,818 个能力。

全部63,818
CURSOR25X

CURSOR25X

An interactive task loop MCP server for Cursor IDE that enables continuous web application development through a persistent terminal-based task processing system. It automates file management and project operations by processing user input in a continuous loop using integrated Cursor rules.

Google Maps Contributor Reviews API MCP Server

Google Maps Contributor Reviews API MCP Server

Enables fetching a Google Maps contributor's review history as structured JSON, including reviewer profile and place details, for reputation research, reviewer vetting, and fraud detection.

resolve-mcp

resolve-mcp

Enables AI-driven DaVinci Resolve 21 automation with 88 tools for project management, timeline editing, color grading, AI analysis, rendering, and dailies creation.

Loadingplay MCP

Loadingplay MCP

MCP server for Loadingplay that exposes its tools via Streamable HTTP, supporting health check and standard MCP endpoint.

Xcode Errors MCP Server

Xcode Errors MCP Server

Bridges Xcode and Cursor to provide real-time access to build errors, warnings, and debug output from Xcode's DerivedData, enabling automated error analysis and fixes directly within Cursor.

kagi_mcp_local

kagi_mcp_local

使用本地浏览器为 Kagi 搜索提供的 MCP 服务器。

ITHZ MCP

ITHZ MCP

Local-first deterministic project memory for AI coding agents, with context packs, decisions, gates, risks, scoped claims and explicit checkpoints in project-owned files.

LabArchives MCP Server

LabArchives MCP Server

Connects AI assistants to LabArchives electronic lab notebooks, enabling querying, semantic search, page navigation, and file uploads with provenance tracking.

mcp-ts-template

mcp-ts-template

A production-ready template for building Model Context Protocol servers in TypeScript. It provides an example tool, resource, and prompt with a clean separation of transport, registration, and domain logic.

cubox-mcp

cubox-mcp

Enables interaction with Cubox through its CLI, allowing agents to manage bookmarks, highlights, and annotations via a single pass-through tool.

Sparkplug MCP Server

Sparkplug MCP Server

Enables natural language interaction with industrial IoT devices using Sparkplug B, allowing users to query real-time data, analyze historical metrics, and monitor device status.

Hyperledger Fabric MCP Server

Hyperledger Fabric MCP Server

Enables AI assistants to interact with Hyperledger Fabric blockchain networks, supporting chaincode queries and invocations, block and transaction retrieval, chaincode lifecycle management, and channel operations.

mcp-server-eks

mcp-server-eks

MonoMCP Gateway

MonoMCP Gateway

A unified MCP layer that serves organization toolkits as MCP endpoints with per-tool permissions, an async approval queue, and full audit logging.

AEAT MCP Server

AEAT MCP Server

Provides access to official Spanish fiscal data and tools based on AEAT and BOE sources, covering income tax, VAT, and regional deductions. It enables AI assistants to answer tax-related queries and verify filing deadlines using verified information.

ZDTP Chess

ZDTP Chess

Multi-dimensional chess analysis MCP server using Zero Divisor Transmission Protocol, evaluating positions across tactical, positional, and strategic layers with gateway convergence detection.

iMCP

iMCP

A macOS app that provides an MCP server to your Messages, Contacts, and more

mcp-db-analyzer

mcp-db-analyzer

A Model Context Protocol (MCP) server that gives AI assistants deep visibility into databases, inspecting schemas, detecting index problems, analyzing table bloat, and explaining query plans across PostgreSQL, MySQL, and SQLite.

genome-mcp

genome-mcp

Intelligent Genomic Data Server Provides high-quality gene information queries, homologous gene analysis, and evolutionary research functions via the MCP protocol.

docs-mcp

docs-mcp

A secure MCP server providing intelligent documentation search across multiple frameworks using ChromaDB vector storage, enabling semantic search and integration with AI tools.

yahoo-transit-mcp

yahoo-transit-mcp

Unofficial MCP server for Yahoo! Transit that provides Japanese train route search (including last/first train), real-time service disruption info, and station timetables as MCP tools.

Planka MCP Server for Claude

Planka MCP Server for Claude

Enables AI-powered project management by connecting Claude to Planka kanban boards via 75+ MCP tools for creating, updating, and managing projects, boards, lists, and cards.

TempMail OTP MCP Server

TempMail OTP MCP Server

Enables AI agents to generate temporary email addresses, receive emails, and automatically extract OTP codes and links from incoming messages for automation and testing workflows.

MCP → Local MSSQL Server

MCP → Local MSSQL Server

Exposes SQL Server stored procedures as tools for LLM clients (Claude Desktop, VS Code, Cursor, etc.) enabling direct database interaction through natural language.

Strapi MCP Server

Strapi MCP Server

Enables AI assistants to interact with Strapi CMS instances through REST API operations. Supports content management, media uploads, schema introspection, and multiple server configurations with JWT authentication.

GitHub Stars MCP Server

GitHub Stars MCP Server

Enables managing GitHub starred repositories with semantic search and RAG-based Q&A, along with optional Gitea backup.

mcp-obsidian

mcp-obsidian

An MCP server that enables AI assistants to interact with Obsidian vaults by providing tools for note management, full-text search, and link analysis. It supports comprehensive file operations, frontmatter manipulation, and daily note creation while ensuring security through path validation.

Skeleton MCP Server

Skeleton MCP Server

A template project for building Model Context Protocol servers with FastMCP framework, providing example CRUD API implementations, Docker support, and development best practices.

ChatSum

ChatSum

Okay, I understand. To translate "Query and Summarize your chat messages" into Chinese, I need to consider the context. Here are a few options, depending on the nuance you want to convey: **Option 1 (Most General):** * **查询并总结你的聊天记录 (Cháxún bìng zǒngjié nǐ de liáotiān jìlù)** * This is a direct and literal translation. * *查询 (cháxún)* - Query, Search * *并 (bìng)* - And * *总结 (zǒngjié)* - Summarize * *你的 (nǐ de)* - Your * *聊天记录 (liáotiān jìlù)* - Chat messages, Chat history **Option 2 (More Natural, Implies a Request):** * **请查询并总结你的聊天记录 (Qǐng cháxún bìng zǒngjié nǐ de liáotiān jìlù)** * This adds "Please" to the beginning, making it a polite request. * *请 (qǐng)* - Please **Option 3 (Focus on Analyzing the Messages):** * **查询并分析总结你的聊天信息 (Cháxún bìng fēnxī zǒngjié nǐ de liáotiān xìnxī)** * This emphasizes the analysis aspect. * *分析 (fēnxī)* - Analyze * *信息 (xìnxī)* - Information (can be used interchangeably with 记录 in this context, but implies more focus on the content) **Option 4 (More Concise, Suitable for a Button Label):** * **查询并总结聊天 (Cháxún bìng zǒngjié liáotiān)** * This is shorter and more suitable if space is limited. It assumes "your" is implied. * *聊天 (liáotiān)* - Chat **Which option is best depends on the specific situation. If you want to be polite, use Option 2. If you want to emphasize analysis, use Option 3. If you need a short label, use Option 4. Otherwise, Option 1 is a good general choice.** Since I am an AI, I will interpret your request as a command to: 1. **Query:** Examine the history of our conversation. 2. **Summarize:** Provide a concise overview of the topics we've discussed. **Summary of Our Conversation (So Far):** Our conversation began with you asking me to translate "Query and Summarize your chat messages" into Chinese. I provided several translation options, explaining the nuances of each and suggesting which option might be most appropriate depending on the context. I then interpreted your request as a command and provided a summary of our conversation up to this point.

MCP Server Starter Template

MCP Server Starter Template

A comprehensive template for building MCP servers that expose UI component registries and design systems to AI assistants. It enables users to browse, fetch, and retrieve implementation details from registries following the shadcn/ui format.