Skilder.ai 远程 MCP 服务器是什么?
Skilder.ai 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://app.skilder.ai/mcp,AI 助手无需在本地安装或运行任何东西即可连接。

@skilder.ai
基本信息
Run skills and MCP tools like production software: versioned, composed into roles, distributed to every agent from one governed library.
https://app.skilder.ai/mcpclaude mcp add skilder-ai --transport http https://app.skilder.ai/mcp工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
此服务需要认证,获取工具列表可能需要登录或使用服务提供方的凭据。
点击上方按钮,直接连接服务器端点实时获取工具列表。
A versioned, governed library for your team's agent capabilities: skills composed with the MCP tools they need, published deliberately, distributed to every connected agent from one endpoint.
It picks up where prototypes end:
Drafts, publishing, version history, rollback. Agents only see the published state, so you can iterate on a skill while it runs in production.
Usage is measured per skill: what runs, what fails, what sits unused. Admins curate which tools are exposed, and every session leaves an auditable timeline.
Skills use the open Agent Skills format: import existing folders as-is from GitHub or ZIP. Everything stays portable.
Setup takes five minutes:
Skilder.ai 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://app.skilder.ai/mcp,AI 助手无需在本地安装或运行任何东西即可连接。
把端点 https://app.skilder.ai/mcp 添加到任意支持 MCP 的客户端,比如 Claude Code、Cursor 或 VS Code。本页的接入代码块可以一步配置好每个客户端。
需要。Skilder.ai 使用 OAuth——第一次连接时,你的 MCP 客户端会打开浏览器窗口登录并授权,之后会复用这个凭证。
Skilder.ai 暴露的是 Streamable HTTP 端点,这是远程 MCP 服务器普遍使用、主流客户端都支持的传输方式。
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