Documentation
Build on Frazer.
Guides, references and recipes for the console, the frazer CLI, the API and the MCP server.
# 1. install and sign in
curl -fsSL https://get.frazer.ai | sh
frazer login
# 2. deploy the repository you are in
frazer deploy
# 3. watch it
frazer logs inventory --follow# 1. install and sign in
curl -fsSL https://get.frazer.ai | sh
frazer login
# 2. add the Frazer MCP server to your agent
frazer mcp install
# tools are read-only by default;
# a write becomes a plan that waits for your approval# 1. install and sign in
curl -fsSL https://get.frazer.ai | sh
frazer login
# 2. add it over SSH: installs the agent, checks its code,
# accepts it as you
frazer servers add root@203.0.113.10 --site <site> --pool <pool>
# pending → inspecting → availableUsing an AI agent?
Paste this into Claude Code, Codex, your editor's agent or the Frazer app:
Read https://frazer.ai/docs/for-agents.md and follow it to set yourself up for Frazer.Or connect the MCP server: https://mcp.frazer.ai
Setup, rules and tasks for agents: Frazer for agents
Quickstarts
- 5 min
Bring your first server
Install the agent, accept the server, see it in a pool. - 15 min
Create a Kubernetes cluster
Plan, apply, open GitOps. - 5 min
Deploy serverless with Postgres
From a repository to a URL with a database. - 10 min
Deploy an open model
gpt-oss or Llama on your GPUs or the fleet. - 10 min
Give your team devboxes
Templates, policies and one-click open. - 10 min
Connect your environment repo
GitOps with the Frazer Reader app.
Products
Data and AI
Engineering
Reference
- CLI
frazer: install, sign in, the grammar, output formats and exit codes - CLI commandsEvery
frazercommand by product - Fir CLI
fircommands for workspaces, pull requests and merges - APIREST and gRPC, generated from the protobuf contracts
- MCPTools and scopes of
mcp.frazer.ai - ErrorsEvery error code with a fix
- Example valuesThe fictional names, domains and tokens in every example
What’s new · changelog
The first entries arrive with the first public release.