Cerebrium Docs
Search the Cerebrium docs: deployment, cerebrium.toml, hardware, endpoints. Also sends feedback.
Open source Repository Open in the app JSON README (API)
About
Search the Cerebrium docs: deployment, cerebrium.toml, hardware, endpoints. Also sends feedback.
Details
- Kind
- MCP servers
- Topic
- Cloud & DevOps
- Publisher
- ai.cerebrium
- Origin
- official
- Category
- ferramentas
- Transport
- http
- Version
- 0.1.1
- Last push
- 2026-09-04T16:52:02Z
- Repository state
- ativo
- Language
- Python
- License
- MIT
- Added
- 2026-09-01 16:00:09
- Updated
- 2026-09-01 18:00:09
- Origin id
ai.cerebrium/docs
README
# Cerebrium agent skills Official [Agent Skills](https://agentskills.io) and hosted docs MCP for [Cerebrium](https://www.cerebrium.ai), 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 -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: ```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](https://agent-plugins.org): 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: ```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 cerebrium cerebrium login ``` Compute is billed per second: see [pricing](https://www.cerebrium.ai/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. | Reference | Loaded when the task involves | | --- | --- | | `references/cli.md` | Any `cerebrium` command: full surface, flags, non-interactive auth, CI/CD, which commands cost money. | | `references/config.md` | `cerebrium.toml`: every key, the default the API applies when it is omitted, accepted ranges, rebuild triggers. | | `references/hardware.md` | The 13 accepted `compute` identifiers, per-GPU and per-plan limits, preference lists, regional availability, storage. | | `references/troubleshooting.md` | Failed 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](https://github.com/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](CONTRIBUTING.md) for where to check each kind of claim, and keep it that way. MIT licensed.