Cerebrium Docs

ai.cerebrium由 cerebrium.ai 发布官方发布者v0.1.1更新于 Oct 27, 2026

Search the Cerebrium docs: deployment, cerebrium.toml, hardware, endpoints. Also sends feedback.

已验证Streamable HTTP可网页运行云端与基础设施知识与记忆

概览

AI 生成的概览

托管的 Cerebrium 文档 MCP,让助手搜索并阅读 Cerebrium 无服务器 GPU/CPU 部署文档,并提交文档反馈。

可以做什么
  • 在 Cerebrium 知识库中搜索指南、API 参考和代码示例
  • 在仅含文档页面与 OpenAPI 规范的虚拟内存文件系统上执行只读的类 shell 查询
  • 提交关于文档错误、过时或示例失效的反馈
适用场景
适合在使用 Cerebrium 时使用:编写 cerebrium.toml、选择 GPU 硬件与区域、部署应用、调用端点或排查部署问题,并希望助手查阅最新的官方文档。
运行要求
需要访问 cerebrium.ai 上的远程 streamable HTTP 端点;文档 MCP 本身无需账号或 API 密钥。若要实际部署到 Cerebrium,则需账号、cerebrium CLI 并登录(CI 中可用 CEREBRIUM_SERVICE_ACCOUNT_TOKEN)。
安装前请注意
反馈工具会把内容发送给 Cerebrium 文档团队,请勿包含密钥或私密信息。文档 MCP 本身只读且不接触本机,但配套技能会指导真实部署,计算按秒计费,可能产生费用。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Cerebrium Docs,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/ai.cerebrium%2Fdocs/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "cerebrium-docs": {
      "type": "http",
      "url": "https://cerebrium.ai/docs/mcp"
    }
  }
}

README

Cerebrium agent skills

Official Agent Skills and hosted docs MCP for Cerebrium, the serverless GPU and CPU platform for real-time AI workloads. The skills teach a coding agent to write a valid cerebrium.toml, pick hardware and a region, deploy, call the endpoint, and debug the result without leaving the terminal. The MCP gives it live search over the documentation.

Works with Claude Code, Codex, Cursor, GitHub Copilot, Windsurf, Cline and anything else that reads the Agent Skills format.

Install

Any agent (installs the skills into every detected harness):

bash
npx skills add CerebriumAI/cerebrium-skills -g -ynpx add-mcp https://cerebrium.ai/docs/mcp -n cerebrium-docs -g -y

Claude Code (one plugin bundles the skills and the docs MCP):

/plugin marketplace add CerebriumAI/cerebrium-skills/plugin install cerebrium@cerebrium

Codex:

bash
codex plugin marketplace add CerebriumAI/cerebrium-skills

Gemini CLI (one extension bundles the skills and the docs MCP):

bash
gemini extensions install https://github.com/CerebriumAI/cerebrium-skills

Cursor loads the repository directly as an Agent Plugin: the root plugin.json and mcp.json are the open-standard manifests, so no Cursor-specific install step is needed.

Or agent-driven: paste this into the agent of your choice.

Install the Cerebrium agent toolkit following instructions fromgithub.com/CerebriumAI/cerebrium-skills: use `npx skills add` and `npx add-mcp`,global and auto-confirmed for all agents (-g -y).

Then create an account and authenticate the CLI once:

bash
# create an account at https://dashboard.cerebrium.ai (also where API keys are created)pip install cerebrium   # or: brew tap cerebriumai/tap && brew install cerebriumcerebrium login

Compute is billed per second: see pricing for current rates and any starting credit.

In CI, skip login and set CEREBRIUM_SERVICE_ACCOUNT_TOKEN instead.

What is in here

One skill, structured for progressive disclosure: agents load the ~120-line core (skills/cerebrium/SKILL.md, the workflow, the safety rules, the endpoint shapes) when a Cerebrium task appears, and pull in a reference file only when the task needs it.

ReferenceLoaded when the task involves
references/cli.mdAny cerebrium command: full surface, flags, non-interactive auth, CI/CD, which commands cost money.
references/config.mdcerebrium.toml: every key, the default the API applies when it is omitted, accepted ranges, rebuild triggers.
references/hardware.mdThe 13 accepted compute identifiers, per-GPU and per-plan limits, preference lists, regional availability, storage.
references/troubleshooting.mdFailed builds, queueing, reverted settings, the cold-start playbook.

The docs MCP (hosted at https://cerebrium.ai/docs/mcp) searches and reads the published documentation, and accepts documentation feedback: search_cerebrium, query_docs_filesystem_cerebrium, and submit_feedback. No account access, no key needed. It is declared twice on purpose, because the two formats are not interchangeable: .mcp.json is the Claude Code convention, and mcp.json at the repository root is the path the Agent Plugins standard requires, with that standard's streamable-http transport name.

The plugin metadata is likewise declared per host: .claude-plugin/ for Claude Code, .agents/plugins/ for Codex, root plugin.json for Agent Plugins clients such as Cursor, and gemini-extension.json for the Gemini CLI. server.json is the MCP registry entry.

Try it

  • "Deploy this FastAPI app to Cerebrium on an H100 with auth enabled, then follow the logs."
  • "My Cerebrium app queues requests under load. Work out why and fix the config."
  • "Which GPU and region fit a 13B vLLM model on Cerebrium, and what should the cerebrium.toml be?"

Related surfaces

  • Any docs page as markdown: append .md to the URL
  • Page index: https://cerebrium.ai/docs/llms.txt
  • Runnable examples: CerebriumAI/examples

Accuracy

Every default, enum, flag and signature here was read out of the CLI source and the API validator rather than copied from a docs page. See CONTRIBUTING.md for where to check each kind of claim, and keep it that way.

MIT licensed.

来源:README.md,提交 75c3657

工具

3

search_cerebrium

Search documentation

Search across the Cerebrium knowledge base to find relevant information, code examples, API references, and guides. Use this tool when you need to answer questions about Cerebrium, find specific documentation, understand how features work, or locate implementation details. The search returns contextual content with titles and direct links to the documentation pages. If you need the full content of a specific page, use the query_docs_filesystem tool to `head` or `cat` the page path (append `.mdx` to the path returned from search — e.g. a result at `/some/page` is read with `head -200 /some/page.mdx`).

输入参数query必填version

query_docs_filesystem_cerebrium

Query documentation filesystem

Run a read-only shell-like query against a virtualized, in-memory filesystem rooted at `/` that contains ONLY the Cerebrium documentation pages and OpenAPI specs. This is NOT a shell on any real machine — nothing runs on the user's computer, the server host, or any network. The filesystem is a sandbox backed by documentation chunks. This is how you read documentation pages: there is no separate "get page" tool. To read a page, pass its `.mdx` path to `head` or `cat` — a page at the URL path `/some/page` lives at `/some/page.mdx`. To search the docs with exact keyword or regex matches, use `rg`. To understand the docs structure, use `tree` or `ls`. **Paths are specific to this site — never guess them.** Discover real paths with `tree / -L 2`, `ls /`, or the search tool before reading. If a path does not exist, that only means the guess was wrong; it does NOT mean the topic is undocumented — use `rg -il "keyword" /` to find where it is covered. **Workflow:** Start with the search tool for broad or conceptual queries like "how to authenticate" or "rate limiting". Use this tool when you need exact keyword/regex matching, structural exploration, or to read the full content of a specific page by path. Supported commands: rg (ripgrep), grep, find, tree, ls, cat, head, tail, stat, wc, sort, uniq, cut, sed, awk, jq, plus basic text utilities. No writes, no network, no process control. Run `--help` on any command for usage. Each call is STATELESS: the working directory always resets to `/` and no shell variables, aliases, or history carry over between calls. If you need to operate in a subdirectory, chain commands in one call with `&&` or pass absolute paths (e.g., `cd /some-directory && ls` or `ls /some-directory`). Do NOT assume that `cd` in one call affects the next call. Examples (replace the placeholder paths with real ones from `tree` or search): - `tree / -L 2` — see the top-level directory layout - `rg -il "rate limit" /` — find all files mentioning "rate limit"

输入参数command必填

submit_feedback

Submit documentation feedback

Report a problem with this documentation site so the docs team can fix it. Use when a documentation page is incorrect, outdated, confusing, incomplete, or has a broken example. This is for feedback about the documentation content itself — not for product support requests or feedback about this tool or assistant.

输入参数path必填feedback必填

版本历史

1
  1. v0.1.1最新Sep 16, 2026

评分

已满足适用检查项的 100%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分