发现优秀的 MCP 服务器

Directus MCP Server

一个模型上下文协议服务器，允许人工智能工具连接到您的 Directus API 并与之交互，从而实现对集合、项目和用户数据的自动访问。

Copick MCP Server

Enables read-only exploration of Copick cryo-ET projects and discovery/validation of copick CLI commands for building processing pipelines.

Yandex Wiki MCP

Enables reading, creating, updating, and appending content to Yandex Wiki pages via MCP. Supports both read-write and read-only modes.

crawl4ai-mcp-server

Self-hosted MCP server that provides web scraping and crawling tools, integrating seamlessly with AI frameworks like OpenAI Agents SDK, Cursor, and Claude Code.

MCP MiniMax Music Server

Enables AI agents to generate music and audio content using the MiniMax Music API through text prompts, with support for reference audio and lyric generation.

1inch Cross-Chain Swap MCP Server

An MCP server that enables cross-chain token swapping between different blockchains using 1inch Fusion+ API, along with portfolio management tools for tracking assets across chains.

Remote MCP Server

Enables AI tools like Claude to interact with a remote machine's file system and shell via a secure HTTPS endpoint. It provides standardized tools for executing shell commands, reading and writing files, and navigating directories.

Codebase MCP Server

Provides secure and efficient tools for codebase analysis, including file management, metadata retrieval, and dependency tree traversal. It allows LLMs to explore project structures and search for configuration files within a restricted root directory.

MCP MySQL Server

Provides read-only access to MySQL databases, enabling schema inspection, table listing, and execution of SELECT queries through the Model Context Protocol.

mcp-synaptic

A memory-enhanced MCP server with RAG database and expiring memory capabilities, enabling AI systems to store and retrieve memories and documents with semantic search.

argo-didup-mcp

MCP server for the Argo (Italian school) portal, enabling grade checking and other interactions via natural language and a Telegram bot.

OHM-MCP

AI-powered Python refactoring assistant that provides AST-based code analysis, SOLID violation detection, dead code elimination, type safety analysis, performance optimization, and automated refactoring with rollback capabilities.

unifi-mcp

Read-only MCP server that surfaces UniFi network data from a UCG-Fiber console to Claude, enabling monitoring of hosts, sites, devices, clients, ISP metrics, and device stats via read-only API tools.

Lichess MCP

Connects Claude to Lichess for playing chess games, analyzing positions with Stockfish cloud evaluation, and solving puzzles. Supports real-time gameplay including moves, challenges, draw offers, and accessing user profiles and game history.

Waroom MCP

A Model Context Protocol (MCP) server that enables interaction with Waroom API to retrieve incident information and postmortem details through a standardized protocol.

Markdown to HTML MCP Server

An MCP server that converts Markdown to HTML, supporting both stdio and HTTP interfaces for easy integration with Cursor and other MCP clients.

Grafana MCP Server

A server that enables AI assistants to access and query Grafana dashboards, metrics, logs, and configurations through an MCP protocol interface.

OpenAI Universal MCP Server

Provides a standardized interface for interacting with OpenAI's tools and services through the Model Context Protocol, enabling seamless integration with MCP-compliant applications.

arcade-azure-devops-mcp

An MCP server that enables AI assistants to interact with Azure DevOps projects, work items, repositories, pipelines, wikis, and more via 21 tools.

sangsang-lite-mcp

An MCP server for analyzing creative ideas through a series of diagnostic tools, designed for prototyping and submission to PlayMCP.

SGU MCP Server

Provides access to geological data from Sveriges Geologiska Undersökning (SGU), including bedrock geology, soil types, and point queries.

mcp-serverTest

mcp-serverTest

GhostInTheShell MCP

A sandboxed, read-only MCP server that safely exposes system metrics, container diagnostics, and logs to AI agents with intelligent context compression and strict security measures.

claude-news

Claude Real Time News Popy21/claude-news-mcp https://claudenews.online/api/mcp

Initial thoughts

Okay, here's the translation of "Convert OpenAPI specifications to MCP server ready tools" into Chinese, along with some considerations for accuracy and context: **Option 1 (Most Direct Translation):** * **将 OpenAPI 规范转换为 MCP 服务器就绪的工具** * (Jiāng OpenAPI guīfàn zhuǎnhuàn wèi MCP fúwùqì jiùxù de gōngjù) This is a fairly literal translation. It's understandable but might sound a bit technical. **Option 2 (More Natural and Common Phrasing):** * **把 OpenAPI 规范转换成可用于 MCP 服务器的工具** * (Bǎ OpenAPI guīfàn zhuǎnhuàn chéng kěyòng yú MCP fúwùqì de gōngjù) This version uses "把...转换成..." which is a common and natural way to express "convert...to..." in Chinese. "可用于" (kěyòng yú) means "can be used for/in". **Option 3 (Emphasizing "Tools Ready for Use"):** * **将 OpenAPI 规范转换为适用于 MCP 服务器的即用工具** * (Jiāng OpenAPI guīfàn zhuǎnhuàn wèi shìyòng yú MCP fúwùqì de jíyòng gōngjù) This option uses "适用于" (shìyòng yú), meaning "suitable for" or "applicable to," and "即用" (jíyòng), meaning "ready to use" or "out-of-the-box." This emphasizes that the tools are immediately usable. **Option 4 (Focusing on Generation):** * **从 OpenAPI 规范生成 MCP 服务器可用的工具** * (Cóng OpenAPI guīfàn shēngchéng MCP fúwùqì kěyòng de gōngjù) This option uses "从...生成..." (cóng...shēngchéng...), meaning "generate from..." This is appropriate if the process involves generating the tools from the OpenAPI specification. **Which option is best depends on the specific context:** * If you want a simple and direct translation, **Option 1** is fine. * If you want a more natural and common phrasing, **Option 2** is a good choice. * If you want to emphasize that the tools are immediately usable, **Option 3** is best. * If the process involves generating the tools from the OpenAPI specification, **Option 4** is the most accurate. **Key Vocabulary:** * **OpenAPI 规范 (OpenAPI guīfàn):** OpenAPI Specification * **转换 (zhuǎnhuàn):** Convert, transform * **MCP 服务器 (MCP fúwùqì):** MCP Server * **就绪 (jiùxù):** Ready * **工具 (gōngjù):** Tools * **可用于 (kěyòng yú):** Can be used for/in * **适用于 (shìyòng yú):** Suitable for, applicable to * **即用 (jíyòng):** Ready to use, out-of-the-box * **生成 (shēngchéng):** Generate * **从...生成... (cóng...shēngchéng...):** Generate from... **Recommendation:** Without more context, I would recommend **Option 2: 把 OpenAPI 规范转换成可用于 MCP 服务器的工具** as it's the most natural and generally applicable. However, consider **Option 4** if the process is about *generating* the tools.

PatrowlIntelMCP

Exposes PatrowlIntel vulnerability intelligence (CVEs, EPSS, CISA KEV, public exploits, trending attacks) via MCP tools like search_cves, get_cve, and list_trending_attacks.

selvin-search-mcp

A local web search MCP server supporting parallel, API, and model-based search modes, integrating Zhipu Web Search API and online models for real-time information retrieval.

Author Style "-esque" MCP Server

Provides a catalog of curated author writing styles and tools to blend or analyze them across eight dimensions for text and image prompt generation. It enables users to apply structured literary patterns through deterministic style modeling and coordinate-based interpolation.

image-mcp

MCP server for generating images via text-to-image and image-to-image using lk888 API, returning base64 PNG and metadata.

squish-mcp

Enables AI agents to run and create Squish test scripts and test suites and analyze the results.