发现优秀的 MCP 服务器

Model Context Protocol servers

模型上下文协议服务器 - 模型上下文协议 (MCP) 的一系列参考实现。

Starwind UI MCP Server

一个 TypeScript 服务器，旨在增强 AI 助手在使用 Starwind UI 组件时的能力，提供项目初始化、组件安装、文档访问等工具。

Get My Notion MCP Server

Provides access to a specific GitHub repository (my-notion) allowing AI assistants to browse files, read content, and track commit information. Enables real-time interaction with repository data through the GitHub API without authentication requirements.

Pump.fun MCP Server

一个模型上下文协议服务器，使 AI 助手能够在 Solana 上的 Pump.fun 平台上创建、购买和出售代币。

Harmonic MCP Server

Provides tools to interact with the Harmonic AI API for company and person enrichment, specifically focusing on venture capital deal flow. It enables users to search for companies using natural language, find similar businesses, and retrieve detailed information on organizations and individuals.

Schwab MCP Server

A read-only MCP server that provides access to Charles Schwab account data and market information, including portfolio positions, real-time quotes, options chains, price history, and account balances through AI assistants.

Zerodha Trading Bot MCP

An automated trading bot that interfaces with Zerodha to execute stock trades, manage positions, and access market information through natural language commands.

mintlify-mcp

An MCP server that enables users to query any Mintlify-powered documentation site directly from Claude. It leverages Mintlify's AI Assistant API to provide RAG-based answers and code examples for various platforms like Agno, Resend, and Upstash.

Eureka Labo MCP Server

Enables task management and automated development tracking for Eureka Labo projects with git integration. Supports creating, updating, and tracking tasks while automatically capturing code changes and generating detailed development logs with syntax highlighting.

QuantPlay MCP Server

Provides access to the QuantPlay trading API for managing broker accounts, tracking positions, and analyzing holdings. It enables users to interact with their trading data through MCP-compatible clients like Claude Desktop.

Snowflake Cortex AI MCP Server

Integrates Snowflake Cortex AI features like Cortex Search and Analyst into the MCP ecosystem, enabling retrieval-augmented generation and structured data analysis. It also provides tools for chat completions and agentic orchestration using Snowflake-hosted large language models.

Oracle DB Context

Provides contextual Oracle database schema information to AI assistants, enabling them to understand and work with large databases containing thousands of tables. Supports multi-database connections, smart schema caching, table lookups, and relationship mapping.

Test MCP

用于测试目的的简单 MCP 服务器。

pdffigures2-MCP-Server

一个用于 pdffigures2 的 MCP 服务器：该服务器处理学术 PDF，以高精度提取图表、表格、标题和章节标题。它旨在支持研究人员和开发人员高效地分析学术文档。

whattimeisit-mcp

一个轻量级的 MCP 服务器，可以根据您的 IP 地址准确地告诉您现在的时间。

RulesetMCP

Provides AI agents with queryable, version-controlled project rules and coding standards. Enables validation, rule-based guidance, and task summaries to keep AI work aligned with your project's conventions without repeating context.

BuildBetter

AI for product teams. Connect all your company and customer knowledge to all of your other tools via BuildBetter's MCP.

Self-hosted AI starter kit (by the n8n team)

Okay, here's a translation of "pydantic agent workflow using mcp servers to test out advanced retrieval of linked data" into Chinese, along with some nuances and considerations: **Option 1 (More Literal, Emphasizing Technical Aspects):** 使用 Pydantic 代理工作流，通过 MCP 服务器测试链接数据的高级检索 * **使用 (shǐyòng):** Using, employing * **Pydantic 代理工作流 (Pydantic dàilǐ gōngzuòliú):** Pydantic agent workflow (This is a direct transliteration, common in technical contexts) * **通过 (tōngguò):** Through, via * **MCP 服务器 (MCP fúwùqì):** MCP servers (Again, direct transliteration) * **测试 (cèshì):** To test, testing * **链接数据 (liànjiē shùjù):** Linked data * **高级检索 (gāojí jiǎnsuǒ):** Advanced retrieval **Option 2 (Slightly More Natural, Still Technical):** 利用 Pydantic 代理工作流，借助 MCP 服务器探索链接数据的高级检索 * **利用 (lìyòng):** Utilizing, leveraging * **借助 (jièzhù):** With the help of, by means of * **探索 (tànsuǒ):** To explore, to investigate **Option 3 (More Descriptive, Less Literal):** 构建基于 Pydantic 的代理工作流，并使用 MCP 服务器来验证链接数据的高级检索能力 * **构建 (gòujiàn):** To build, to construct * **基于 (jīyú):** Based on * **验证 (yànzhèng):** To verify, to validate * **能力 (nénglì):** Capability, ability **Explanation of Choices and Considerations:** * **"Pydantic agent workflow" and "MCP servers":** In technical contexts, it's often acceptable (and even preferred) to directly transliterate these terms. If the audience is familiar with these technologies, transliteration is the clearest option. If you *need* to explain them, you could add a brief explanation in parentheses after the transliteration the first time they appear. * **"Test out":** The English phrase "test out" can be translated in several ways. "测试 (cèshì)" is the most direct translation of "test." "探索 (tànsuǒ)" implies a more exploratory testing process. "验证 (yànzhèng)" implies a more formal validation of capabilities. * **"Advanced retrieval of linked data":** "高级检索 (gāojí jiǎnsuǒ)" is a good, general translation of "advanced retrieval." The key is to ensure the audience understands what "linked data" means. **Which option is best depends on the context:** * **For a highly technical audience already familiar with Pydantic and MCP:** Option 1 is likely the best. * **For a slightly less technical audience, or if you want to emphasize the exploratory nature of the testing:** Option 2 might be better. * **If you want to emphasize the building and validation aspects:** Option 3 is a good choice. **Recommendation:** I would recommend **Option 1** or **Option 2** as a starting point, and then adjust based on your specific audience and the purpose of the translation. If you provide more context about where this translation will be used, I can refine it further.

MCP2Browser

Provides browser automation capabilities through HTTP, allowing AI assistants to navigate web pages and inspect content using Playwright-powered tools for opening URLs and retrieving page information.

Tech News Update Agent

A FastAPI backend that integrates with ElevenLabs MCP to create an AI agent capable of making outbound calls and delivering friendly, jargon-free tech news updates.

PubMed MCP Server

A comprehensive Model Context Protocol server that enables advanced PubMed literature search, citation formatting, and research analysis through natural language interactions.

Cursor Model Context Protocol (MCP) Example

这个仓库包含模型上下文协议（MCP）服务器的示例实现，这些服务器可以与 Cursor IDE 一起使用，通过自定义工具和数据源来增强 AI 功能。

Cloudflare Playwright MCP

A Model Control Protocol server that enables AI assistants to control a browser through tools for web automation tasks like navigation, typing, clicking, and taking screenshots.

ID Generator MCP

Provides AI assistants with capabilities to generate collision-resistant unique identifiers using UUID v4 and CUID2 algorithms.

GitLab MCP Server Test Repository

MCP GitLab 服务器验证的测试仓库

GitHub GraphQL API MCP

Enables querying and exploring the GitHub GraphQL API schema and executing optimized GraphQL queries to retrieve precise GitHub data (repositories, issues, PRs, users) with reduced token consumption.

MCP Servers Hub

探索市场上最全面、最新的 MCP 服务器集合。这个仓库作为一个中心枢纽，提供了一个广泛的开源和专有 MCP 服务器目录，包括功能、文档链接和贡献者。

mcpmonorepo

在单体仓库中用于 MCP 服务器的测试平台

mcp-server-hcp-terraform

用于与 HCP Terraform 协同工作的 MCP 服务器