Cerebrium Docs

ai.cerebrium由 cerebrium.ai 發布官方發布者v0.1.1更新於 Oct 27, 2026

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

已驗證Streamable HTTP可網頁執行雲端與基礎設施知識與記憶

概覽

AI 產生的概覽

託管的 Cerebrium 文件 MCP,讓助理搜尋並閱讀 Cerebrium 無伺服器 GPU/CPU 部署文件,並提交文件回饋。

可以做什麼
  • 在 Cerebrium 知識庫中搜尋指南、API 參考與程式碼範例
  • 在僅含文件頁面與 OpenAPI 規格的虛擬記憶體檔案系統上執行唯讀的類 shell 查詢
  • 提交關於文件錯誤、過時或範例失效的回饋
適用情境
適合在使用 Cerebrium 時使用:撰寫 cerebrium.toml、選擇 GPU 硬體與區域、部署應用程式、呼叫端點或排查部署問題,並希望助理查閱最新的官方文件。
執行需求
需要連線到 cerebrium.ai 上的遠端 streamable HTTP 端點;文件 MCP 本身不需帳號或 API 金鑰。若要實際部署到 Cerebrium,則需帳號、cerebrium CLI 並登入(CI 中可用 CEREBRIUM_SERVICE_ACCOUNT_TOKEN)。
安裝前請注意
回饋工具會將內容傳送給 Cerebrium 文件團隊,請勿包含密鑰或私密資訊。文件 MCP 本身為唯讀且不接觸本機,但搭配的技能會引導實際部署,運算按秒計費,可能產生費用。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Cerebrium Docs,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.cerebrium%2Fdocs/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "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.

來源: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`).

輸入參數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"

輸入參數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.

輸入參數path必填feedback必填

版本歷史

1
  1. v0.1.1最新Sep 16, 2026

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