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@skilder.ai

关于 Skilder.ai

Run skills and MCP tools like production software: versioned, composed into roles, distributed to every agent from one governed library.

连接信息

https://app.skilder.ai/mcp

接入方式

claude mcp add skilder-ai --transport http https://app.skilder.ai/mcp

工具

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点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

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.

Where it picks up

It picks up where prototypes end:

  • Skill copies drifting across repos
  • Live edits changing agent behavior mid-task
  • Tool lists overflowing the context window
  • No answer to "what did the agent actually do?"

With this connector, you can

  • Learn skills on demand — instructions, files, and tools unlock together, exactly when a task needs them
  • Execute each skill's tools through server-partitioned read and write channels, under each user's own identity
  • Run skill scripts (Python, TypeScript, shell) sandboxed on your runtimes
  • Report friction on skills as it works, so you catch decay before users do
  • Build new capabilities in conversation (workspace admins) — discover available tools, then create, compose, and update skills and roles

Lifecycle is engineered in

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.

Portability

Skills use the open Agent Skills format: import existing folders as-is from GitHub or ZIP. Everything stays portable.

Setup

Setup takes five minutes:

  1. Connect
  2. Sign in or sign up in the consent flow
  3. A workspace is provisioned Then bring your own skills and tools !

常见问题

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。

怎么连接 Skilder.ai 的 MCP 服务器?

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。

Skilder.ai 的 MCP 服务器需要认证吗?

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 的 MCP 服务器用的是哪种传输方式?

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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