Gvnr MCP server
online · 100% uptimedev.gvnr/gvnr·v1.8.1Budget & cost control for AI agents — per-agent spend caps + rate limits before each call.
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If you have run it, two minutes of your experience saves the next person an afternoon.
Gvnr tools
Tool list not cached yet. `describe` through the gateway fetches it live.
Public scan report
scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 274ms (auth required)20/20
- –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
- Auth qualityauth enforced (unknown)9/15
- Maintenancelast push 108 days ago8/15
- Maintainer identitynamespace and repository owner differ; website matches verified namespace5/10
How Gvnr compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 70/100
- higher than 37% of 4,460 AI and agents servers
- Uptime
- 100%
- of our recent checks; the typical remote AI and agents server answers 100%
- Response time
- 468 ms
- faster than 29% of 2,331 AI and agents servers
Install Gvnr in Claude Code, Cursor or VS Code
claude mcp add --transport http gvnr https://gvnr.dev/mcp
What the publisher says
From the Gvnr repository's README, as published. We do not edit it. Read it on GitHub
Gvnr
Spend caps, rate coordination, idempotency, and a human-in-the-loop gate for AI agents — enforced before the call, not after the invoice. One MCP endpoint, settled via x402 (USDC on Base). No proxy, no self-hosting, no infrastructure to deploy.
Listed on the Official MCP Registry as dev.gvnr/gvnr.
The problem
Agents cost 10–12× more than estimated in production. System prompts, retry loops, and tool calls multiply fast — a runaway agent can generate a $47,000 bill in 11 days. The usual fix, self-hosting a gateway like LiteLLM, means running infrastructure most developers won't set up.
Gvnr is the hosted alternative: an external authority your agent checks before it spends. Your agent asks "am I clear to make this call?" and acts on the answer.
How it works
Gvnr is not an LLM proxy — your tokens never pass through it, and you pay your model provider directly. Gvnr governs the decision to spend, in two independent meters:
1. The governance-operation quota — what you buy from Gvnr. Your account holds a balance of governance operations (operationsremaining). One budgetclear burns one op. You top this up with USDC; it's decoupled from your LLM spend. get_balance reports it.
2. The spend envelope — a USD cap you set, per agent. setenvelope(agentid, limit_usd, window) gives an agent a daily or per-session USD ceiling. Gvnr tracks estimated spend against it and denies once it's exceeded — this is the runaway guardrail. No dollars move; it's an accounting limit you control.
A budgetclear is approved only when both** hold: the account has ops left in the quota, and the agent is under its envelope. The loop:
- Your agent calls budgetclear(agentid, model, estimated_tokens) before each LLM request.
- Gvnr checks the op quota and the agent's envelope, and returns { approved: true, ... } or { approved: false, reason }.
- If denied, your agent skips (or escalates via request_approval).
- After the LLM responds, call reconcile(...) with the real token counts so the envelope tracks actual cost, not the estimate.
Quick start
1. Provision an account
curl -X POST https://gvnr.dev/v1/account
# { "api_key": "bg_...", "account_id": "...", "operations_remaining": 25 }New accounts include 25 free trial ops — enough to run the full loop (set an envelope, budgetclear, reconcile) before you fund anything. Your apikey is the credential for every call; accountid is just an internal reference for support. Account creation is credential-only by design (agent-native) — email is optional**, set separately via POST /v1/account/notification-email, and used only for human approval notices.
2. Top up your governance-op quota
Pay-as-you-go: 1,000 ops per $1, any amount (try the whole rail for $1), USDC on Base. Open the pay page, name your amount, and pass your API key:
https://gvnr.dev/pay?usd=1&api_key=bg_YOUR_KEYShortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Gvnr: common questions
- Is Gvnr MCP server safe?
- Mostly: it is graded B (70/100). Read the Gvnr safety report
- How do I install Gvnr?
- It runs remotely at gvnr.dev. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Gvnr need an API key?
- Yes. The registry entry asks for
Authorization. - Is Gvnr maintained?
- The last commit was 146 days ago (2026-06-11). The latest release is v1.8.1.
- Is Gvnr up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of Gvnr?
- Servers from other publishers that do the same job: Ausca MCP server, agent-device MCP server and agent-device MCP server.
- How does Gvnr compare with other AI and agents MCP servers?
- safety score 70/100 (higher than 37% of 4,460 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 468 ms (faster than 29% of 2,331 AI and agents servers). Full comparison.
Alternatives to Gvnr
Same job from other publishers: the closest match first, then the best rated.
- AuscaPay-per-call APIs and MCP services for agents, no accounts or keys, with verifiable receipts.not reviewedEstablishedA
- agent-deviceLet AI agents inspect, control, and debug real iOS, Android, desktop, and TV appsnot reviewedWidely usedA
- agent-deviceOpen source device layer for AI agents: control mobile, web, TV, and desktop apps over MCPnot reviewedWidely usedA
- DecionisAuthorize consequential AI agent actions before executionnot reviewedEstablishedA
- DCC-MCP CoreAgent control plane for DCC and engine hosts: one MCP endpoint, one tool contract.not reviewedEstablishedA