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Sapiom gives your coding agent everything it needs to build agents — controlled, multi-step, deployable automations with instant access to paid capabilities (search, compute, browsers, AI models, file storage, and more), pay-per-use, with zero vendor onboarding.

Capability = Reasoning × Access. Your models have the reasoning. Sapiom is the access.

Pick your environment:

Terminal window
npx @sapiom/harness@latest

One command downloads the Sapiom harness and opens the Agent Studio — a local web app with your coding agent (Claude Code today, Codex next) running in an embedded terminal, pre-wired with the Sapiom MCP servers and an agent-authoring system prompt. It checks your environment and signs you in along the way, so step 2 is handled for you.

Run the sapiom_authenticate tool once — it opens a browser to approve access, then caches your key in ~/.sapiom/credentials.json for every subsequent call. Check status anytime with sapiom_status. No API key to paste.

Tell your coding agent what you want to automate — or follow the quickstart yourself:

”Unauthorized” when deploying or running

Section titled “”Unauthorized” when deploying or running”

Run sapiom_authenticate to sign in (it caches your key in ~/.sapiom/credentials.json), then confirm with sapiom_status. The offline tools (check, run_local) work without signing in; deploy and run require it.

Restart your AI client after adding the server. Confirm the config runs npx -y @sapiom/mcp — the first run downloads the package, which can take a few seconds.

Cloud steps (deploy, run, image/video generation) can take 15–30 seconds or more. Iterate offline with run_local (capabilities stubbed) before deploying.