Provides access to a verified, sourced knowledge base of NVIDIA Jetson devices, allowing users to retrieve cited information about NVIDIA Jetson hardware.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@jetson What are the specs of the Jetson Orin Nano, with sources and any knowledge gaps?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A verified, sourced knowledge base of everything known about NVIDIA Jetson devices — usable as a CLI, an MCP server, and a multilingual static site. Every claim cites its source, gaps are stated honestly, and existing projects and contributors are credited.
An agent-first CLI cited from teken
(afi-cli) — the runtime package has no third-party dependencies.
A mesh identity — culture.yaml (suffix + backend) and the matching
resident prompt file (AGENTS.colleague.md, since this template runs
backend: colleague).
The canonical guildmaster skill kit (11 skills) under .claude/skills/,
vendored cite-don't-import. See docs/skill-sources.md.
A build + deploy baseline — pytest, lint, the agent-first rubric gate, and PyPI Trusted Publishing wired into GitHub Actions.
Related MCP server: Cartesi Knowledge MCP Server
uv sync
uv run pytest -n auto # run the test suite
uv run jetson whoami # identity from culture.yaml
uv run jetson learn # self-teaching prompt (add --json)
uv run teken cli doctor . --strict # the agent-first rubric gate CI runsVerb | What it does |
| Report this agent's nick, version, backend, and model from |
| Print a structured self-teaching prompt. |
| Markdown docs for any noun/verb path. |
| Read-only descriptive snapshot of the agent. |
| Check the agent-identity invariants (prompt-file-present, backend-consistency). |
| Describe the CLI surface itself. |
Every command supports --json. Results go to stdout, errors/diagnostics to
stderr (never mixed). Exit codes: 0 success, 1 user error, 2 environment
error, 3+ reserved.
Rename the package jetson/ and the jetson
CLI/dist name throughout pyproject.toml, the package, tests/,
sonar-project.properties, and this README.md. The name is hard-coded in
~100 places, so list every occurrence first — see the git grep discovery
command in CLAUDE.md, the authoritative rename procedure.
Edit culture.yaml with your suffix and backend.
Rewrite CLAUDE.md for your agent and run /init.
Re-vendor only the skills you need from guildmaster (see
docs/skill-sources.md).
See CLAUDE.md for the full conventions (version-bump-every-PR,
the cicd PR lane, deploy setup).
Apache 2.0 — see LICENSE.
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If you are the server author, to access and configure the admin panel.
Shared, peer-validated knowledge archive for AI agents — search, contribute, and validate via MCP
Retrieve citation-ready technical context and coordinate evidence-backed work between AI agents.
Your team's shared, verified knowledge for AI agents: ask what's true, record what you learn.
Real-time fact-check, citation verification, and source-freshness for AI agents.
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