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Cerebrium Docs

by CerebriumAIversion 0.1.1i★ –iRuns in the cloud
Registry nameai.cerebrium/docs

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://cerebrium.ai/docs/mcp

Run this in your terminal

claude mcp add --transport http docs https://cerebrium.ai/docs/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "docs": {
      "url": "https://cerebrium.ai/docs/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://cerebrium.ai/docs/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain cerebrium.ai (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7226 servers in this category
  • Published to the registry more recently than 36% of the other 7226 servers in this category
  • Basic checks equal to or better than 100% of the other 7226 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Cerebrium Docs safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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):

npx skills add CerebriumAI/cerebrium-skills -g -y

npx 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:

codex plugin marketplace add CerebriumAI/cerebrium-skills

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

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 from

github.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:

# create an account at https://dashboard.cerebrium.ai (also where API keys are created)

pip install cerebrium # or: brew tap cerebriumai/tap && brew install cerebrium cerebrium 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.

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