MCP 服务器

开放的 Model Context Protocol 服务器注册表。按类别、传输方式或使用场景,为 AI 智能体寻找合适的工具、资源和提示词。

部分描述为试点机器翻译内容,尚未经过人工审核。

服务器

177

工具

471

类别

11

贡献者

155

8 个服务器

排序方式
Directus MCP ServerDirectus

Directus' MCP integration connects agents to headless CMS data, schemas, and operations for governed content and application workflows.

0
Fetch MCP ServerAnthropic

Provides HTTP request capabilities through the Model Context Protocol. Enables AI agents to fetch web content, retrieve API responses, and download resources from URLs. Supports converting HTML to Markdown for easier consumption and can handle various content types including JSON, text, and binary data.

86.2k
Context7 MCP ServerUpstash

将库、框架和 SDK 的最新版本专属文档与代码示例直接加入 AI prompt。Context7 不依赖可能过时的训练数据,而是从源站获取当前文档。支持包括 React、Next.js、Node.js 和 Python 包在内的数千个库。

56k
Stripe MCP ServerStripe

Official MCP server for the Stripe API. Enables AI agents to interact with Stripe's payment infrastructure including creating and managing customers, payment intents, subscriptions, invoices, and products. Supports reading transaction data, handling refunds, and querying balance information. Useful for building payment integrations, debugging billing issues, and automating financial operations.

2.9k
Plaid MCP ServerPlaid

Official Plaid MCP server for financial data connectivity. Lets AI agents work with Plaid's APIs to retrieve accounts, balances, and transactions, and to build and debug integrations for banking, payments, and identity. Useful for fintech development, personal finance tooling, and automating account data workflows.

240
E2B MCP ServerE2B

E2B's MCP server gives AI agents the ability to run arbitrary code in secure, isolated cloud sandboxes. Each sandbox is a fast-booting micro-VM where models can execute Python and shell commands, install packages, read and write files, and capture stdout/stderr — ideal for code interpretation, data analysis, and agentic workflows that need real execution.

0
Medusa MCP ServerMedusa

Medusa's MCP integration connects agents to commerce data and administrative operations for storefront, catalog, order, and customer workflows.

0

Skills 与 MCP 服务器

有什么区别?

Skills定义“做什么”

Skill 将说明、示例提示词和推荐模型组织在一起,让智能体稳定地完成任务。Skills 增加的是知识,而不是新的连接。

MCP 服务器定义“如何连接”

MCP 服务器通过连接数据库、API 和文件等真实系统,为智能体增加新能力。MCP 提供连接和操作,而不是任务说明。

简单来说:当模型需要把某项任务做好时选择 Skill;当模型需要访问工具或系统时选择 MCP 服务器。两者可以组合使用,Skill 可以依赖 MCP 服务器提供的工具。

开发了 MCP 服务器?

将它提交到由社区维护的开源注册表。

提交到 GitHub