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Description from the maker (original English)
Git-native policy layer for AI agents: check_action verdicts against rules approved via PR.
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https://api.gntai.dev/mcpRun this in your terminal
claude mcp add --transport http gnt https://api.gntai.dev/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"gnt": {
"url": "https://api.gntai.dev/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"gnt": {
"type": "http",
"url": "https://api.gntai.dev/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
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In the same category: GitHub, Desktop Commander, Cloudflare MCP
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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Run the setup below once and every agent your team runs has a git-native rulebook it has to check over MCP before it acts, approved the same way your code already is: a merged pull request.
check_action over MCP before anything risky (a refund, a delete, a message to a customer) and get back an allow/block/escalate verdict.Prefer not to run any of this yourself? The hosted version at gntai.dev does the same thing without you standing up a Postgres instance.
npm install -g @gnt-ai/cli
gnt login gnt connect github gnt prebrain
To see a real check_action response before installing Node or npm, clone the repository and run the Docker-only demo:
./demo.sh
It builds the full local stack in an isolated gnt-demo Compose project, seeds an approved refund rule, calls check_action, and prints a curl command you can run again. Without an Anthropic key the real fail-closed path returns needs_human; pass GNT_DEMO_ANTHROPIC_API_KEY=sk-ant-... ./demo.sh to opt in to the model's grounded policy verdict. The demo uses deterministic local embeddings and throwaway localhost-only secrets, so it does not need a ZeroEntropy key.
Nothing for
gnt prebrainto scan yet? Rungnt initfirst — it scaffoldsrules/locally
with a couple of example rule files so there's something real to look at and edit, and points
you at
gnt prebrain --starter-packsfor a curated pack to start from instead.
That merge lands a rule file in your connected repo, shaped like this:
your-repo/
└── rules/ ├── refund-approval-threshold.md └── contract-legal-cc.md
Each file is plain markdown with YAML frontmatter:
---
title: Never refund over $500 without a manager status: approved confidence: 0.91 owner_id: finance-team source_citations: [...] source: slack tags: [refunds, finance] last_validated_at: 2026-07-20 version: 1 superseded_by: null approved_by: jane@company.com approved_at: 2026-07-21T14:03:00Z created_at: 2026-07-18T09:12:00Z pr_number: 142 pr_url: https://github.com/your-org/your-repo/pull/142
Refunds over $500 need manager sign-off before they go out...
There's no captured transcript to show yet (see the gap noted at the bottom of this README). Here's the actual response shape a check_action call returns, straight from the tool's contract:
{
"verdict": "blocked", "reason": "Refund exceeds the $500 threshold without manager sign-off (rules/refund-approval-threshold.md)", "cited_rules": [ { "id": "refund-approval-threshold", "title": "Never refund over $500 without a manager" } ], "rules_retrieved": 3 }
verdict is one of allowed, blocked, or needs_human. needs_human is the fail-closed default: no approved rule covers the action, retrieval failed, or the check couldn't complete. It never guesses.
One MCP endpoint, five tools:
| Tool | What it does |
|---|---|
check_action | Checks a described action against your approved rules before an agent takes it. Returns allowed, blocked, or needs_human with cited rules and a one-line reason. |
search_rules | Semantic search over your org's approved rules, optionally filtered by tag. An empty list means no approved rule covers the query. |
get_rule | Fetches one approved rule by id, with its provenance (who approved it, when, what it was cited from). |
list_skill_packs | Lists every compiled skill pack version for your org, newest first. |
get_skill_pack | Fetches a compiled skill pack's manifest and file list by id. |
| Requirement | Check | Get it |
|---|---|---|
| Node >=22.13 | node --version | nodejs.org |
| Method | Command | |
|---|---|---|
| curl | `curl -fsSL gntai.dev/install.sh \ | sh` |
| npm | npm install -g @gnt-ai/cli |
gnt needs Node >=22.13. If the CLI fails to start with a version error, update Node first and confirm with
node --version.
gnt login # sign in, store an API key locally
gnt init # scaffold a local rules/ dir with example rule files gnt connect github # connect the repo your rules PRs open against gnt prebrain # scan sources, extract candidate rules, open PRs gnt review # review rules awaiting approval gnt status # show brain status gnt pull # download the latest skill pack gnt gaps # list uncovered queries with no approved rule
| Variable | Default | What it controls |
|---|---|---|
GNT_API_URL | https://api.gntai.dev | API endpoint the CLI and MCP calls hit |
GNT_WEB_URL | https://gntai.dev | Web app used for gnt login's browser step |
GNT_CONFIG_DIR | ~/.gnt | Where credentials.json and local config live |
gnt prebrain's default extraction mode is cloud, not on-device: your source text goes straight to Anthropic's API (or Vercel AI Gateway with zero-data-retention, if you configure it), never to gnt's own servers. Fully on-device extraction needs --mode local against a local Ollama daemon.apps/api only sends error data to Sentry if you set SENTRY_DSN yourself. Leave it unset and nothing goes out.gnt prebrain (batch-extracted from real sources) or gnt review (hand-proposed).rules/ .md files with the frontmatter shown above and a plain markdown body.gnt rules lint checks a rule file's frontmatter locally, and gnt-ai/gnt/.github/actions/lint-rules runs the same check as a CI step on your rules repo's own PRs, so a bad frontmatter fails the PR instead of the review.Self-hosting: `gnt login`'s browser step has nowhere to land.
gnt loginopens a browser to a/cli-loginpage and polls the API for the resulting key — that page is served by the hosted product's web app, which isn't part of this repo. There's no CLI-only login flow (device code or otherwise) today, and nogntcommand to set a key manually. Self-hosting this stack currently means building your own thin frontend for that one route (it just needs to complete the sign-in flow and hand the CLI a key). This is a real, open gap in the self-host path, not a config issue — closing it properly means adding a CLI-only login flow.
`ValueError: refusing to start: these settings still have their .env.example placeholder value...` A
change-me-...string is still sitting inapps/api/.env. The error names every offending field; generate a real value for each and retry.
`store` fails to start with `GNT_STORE_INTERNAL_API_SECRET is not set`.
apps/store/.envwasn't filled in, or wasn't picked up. Confirm the file exists at that exact path, not still named.env.example.
Every store-to-api call gets rejected with 401 or 403, even though both services are up.
STORE_INTERNAL_API_SECRET/APPROVAL_SIGNING_SECRETinapps/api/.envdon't byte-for-byte matchGNT_STORE_INTERNAL_API_SECRET/GNT_APPROVAL_SIGNING_SECRETinapps/store/.env. This fails closed by design. Regenerate both pairs so the two files agree.
A rule fails to save with an embedding or rerank error.
apps/store/.envis missingZEROENTROPY_API_KEY, or it's still empty. Get a real one from zeroentropy.dev.
gnt login
gnt logout gnt init scaffold a local rules/ dir with example rule files (--dir ) gnt connect github, slack, notion-mcp, monday-mcp, linear-mcp, jira-mcp, sentry-mcp, granola-mcp, zoom-mcp, figma, datadog, gitlab-threads, hubspot, airtable, openclaw, hermes gnt disconnect gnt status gnt billing gnt review gnt pull gnt gaps gnt prebrain scan local sources, extract candidate rules, open batched draft PRs (~60 flags for source paths and extraction mode, see gnt prebrain --help; --mode cloud|local, cloud is the default) gnt stale gnt keys list|create|revoke|rotate gnt webhook list|create|revoke gnt org show|rename|invite|remove
# bash, add to ~/.bashrc
eval "$(gnt completion bash)"
eval "$(gnt completion zsh)"
gnt completion fish | source
docs/self-hosting/README.mdSECURITY.mdSelf-hosting is a first-class, fully supported path — Apache-2.0 from day one, run it on your own infra with your own keys, or use the hosted version at gntai.dev. The homepage FAQ and the self-hosting docs both describe this same path; there is no "not today" caveat.
Copyright © 2026 gnt.ai. Licensed under Apache-2.0 — see LICENSE for the terms and NOTICE for the trademark rule on forks.
Self-hosting gnt costs you nothing, forever — clone it, run docker compose up, bring your own keys. What we sell is the part self-hosting doesn't give you: hosting at gntai.dev, managed OAuth connectors (GitHub, Slack, Linear, Notion, Zendesk — no app-approval process on your end), and usage-based AI features. If you'd rather run it yourself, that's a fully supported, fully free path, not a crippled trial of the real thing.
See CONTRIBUTING.md for dev setup and how to open a PR. Every commit needs a Signed-off-by trailer (git commit -s), the Developer Certificate of Origin instead of a CLA. No separate form, just the flag.
Thanks to everyone who's sent a PR:
[](https://github.com/gnt-ai
Only the beginning is shown; read the rest in the repo