Build with AI
Give your coding agent an objective, and it builds on Vestra: it reads these docs, follows the Vestra skill and runs the CLI. Each resource is one copy away.
The docs, for agents
Every page of these docs is Markdown at its own address plus .md, and for a request that sends Accept: text/markdown. llms.txt lists every page, and llms-full.txt is every page in one file.
At the top of each page, its menu copies the page as Markdown, opens its Markdown, or opens it in an assistant.
curl https://vestra.ai/developers/llms.txtcurl https://vestra.ai/developers/llms-full.txtcurl https://vestra.ai/developers/quickstart.mdThe docs MCP
A public MCP server for these docs: no key, no sign-in, and nothing it can change. search_docs finds the sections that answer a question, each with its page; read_doc reads a page as Markdown. Both tell the agent to trust the docs over what it remembers.
It speaks MCP over streamable HTTP. Add it to your coding tool once.
claude mcp add --transport http vestra-docs https://vestra.ai/developers/docs-mcp{ "mcpServers": { "vestra-docs": { "url": "https://vestra.ai/developers/docs-mcp" } }}codex mcp add vestra-docs --url https://vestra.ai/developers/docs-mcpgemini mcp add --transport http vestra-docs https://vestra.ai/developers/docs-mcpSet up your coding tools
vestra agent setup finds Claude Code, Codex, Cursor and Gemini CLI on your computer. For each, it puts the Vestra skill where the tool reads skills, and adds vestra mcp as an MCP server, with the tool's own command where it has one.
It shows the plan and asks first, then says what changed. It never writes a key anywhere: vestra mcp reads the one vestra login saved. Install the CLI first, straight from this site; the quickstart has the rest.
npm install -g https://vestra.ai/developers/kit/vestra-cli-0.1.8.tgzvestra agent setup # the plan, then y/Nvestra agent setup --dry-run # the plan onlyvestra agent setup --print # how to do it by handvestra mcp: your account, from your editor
vestra mcp is an MCP server on your computer, over stdio, that acts on your account with your key: it sets Bash up, tests it, deploys it to test mode and asks it. It has search_docs and read_doc too.
The docs MCP only reads the docs, for anyone; vestra mcp acts for you, so it runs where your key is. From your editor walks through it.
{ "mcpServers": { "vestra": { "command": "vestra", "args": [ "mcp" ] } }}The Vestra skill
A skill an agent loads when the work is Vestra's: the loop of init, test, deploy and ask, the file, keys, approvals, events and errors, and the docs to read first. vestra agent setup installs it, and vestra agent skill prints it.
The site serves it too, listed in /.well-known/skills/index.json for the tools that install skills from a site.
vestra agent skill > SKILL.mdcurl https://vestra.ai/developers/skills/vestra/SKILL.mdnpx skills add https://vestra.aiFrom an objective to a deployment
With the skill and an MCP server in place, give your agent the objective in plain words: "Set up Vestra to answer our travellers' booking questions, test it and deploy it to test mode." It runs vestra init, plays the tests, fixes what fails, deploys, wires your code and asks as a user would.
Two steps stay with you. A test key, once: make one on the console's Keys page, then vestra login asks for it without showing it. And going live: vestra deploy --live reaches real users and spends real money, so your agent stops and asks you first.
vestra login # once: your test keyvestra deploy --live # going live, after you say yes