agent-trust-firewall
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., "@agent-trust-firewallCheck if this payment refund request is safe to execute"
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.
Agent Trust Firewall
A firewall for AI agents. It sits between an agent and the API it is calling, proves who is actually asking, scores how dangerous the request is, and blocks the bad ones before they execute.
Live: https://agent-trust-firewall.vercel.app
The problem
AI agents now book, pay and run code on their own. When one is compromised — a leaked key, a poisoned prompt — its requests look exactly like a healthy agent's: same credentials, same endpoints, no alarm. An API key proves someone once had a secret; it does not prove that this request came from the agent you think it did.
Everyone is building agents. Almost nobody is securing the handshake between them.
Related MCP server: signet-eval
What it does
Every intercepted call must clear four checks before it runs:
Sealed in transit — the agent encrypts the call with a fresh key each time (X25519 + XChaCha20-Poly1305). Fields it marks sensitive are encrypted to the destination, and pass through the firewall unreadable.
Identity, proved not claimed — a Schnorr zero-knowledge proof of key possession. The key is never transmitted, and the proof is bound to one single-use challenge and one specific request.
Authority, minimally disclosed — a Merkle inclusion proof for the one capability this call needs. The firewall never learns the rest of the agent's grant set.
Risk, scored and explained — seven signals, including live lookups against public threat intelligence for the calling address, produce a 0–100 score in which every point traces back to a named reason in plain language.
Hard rules (revoked key, replayed proof, ungranted capability) block outright at any configuration. They are not tunable.
Try it
npm install
npm run dev # http://localhost:3000Runs with no configuration at all: with no DATABASE_URL it uses an in-process
store and seeds itself on boot. /api/health tells you which store is live.
With durable storage
vercel integration add neon # provisions Postgres, injects DATABASE_URL
vercel env pull .env.local
npm run seed # one time: ~500 statements, ~45sSeeding is a deployment step rather than something the app does on demand. Every seeded call is a real challenge, a real Schnorr proof and a real scoring pass, which is genuinely expensive — running it inside a request would put tens of seconds of database round-trips on a cold start.
Set ATF_DEMO_SEED to any high-entropy string when using a shared database, so
every instance derives the same demo-fleet keys as the ones enrolled in it. No
agent secret is ever stored.
Then open /console/attack-range and run an adversary. Each one is built for real — a genuinely forged key, a genuinely replayed proof — and submitted through the same decision path production traffic uses.
Verify the claims
npm run test # 163 tests, every attack scenario asserted
npm run verify # 25 security invariants, printed one per line
npm run lint
npm run typecheck
npm audit # 0 vulnerabilitiesThe MCP server
npm run mcpA real Model Context Protocol server over stdio. Every tools/call routes
through the firewall first; a blocked call returns a structured refusal and the
upstream tool is never invoked.
External threat intelligence
The intel signal queries GreyNoise Community and Shodan InternetDB —
both keyless — for the address an agent calls from. AbuseIPDB and
AlienVault OTX activate when their keys are present (see .env.example);
without them the UI reports those providers as "not configured" rather than
failing.
All lookups are server-side, cached, rate-limit-safe, and degrade to synthetic only on failure — which the UI states on the row, because presenting an outage as a clean result would be worse than having no intel at all.
Documentation
claude.md— architecture and the security modelsecurity.md— posture, cryptography, known limitationsdocs/security.md— threat model and defence-by-attackdocs/decisions/— why Schnorr rather than zkSNARKs, why hard rules sit outside the score
Honest scope
The demo fleet is synthetic, but its keys, proofs, verdicts and origin addresses are real — the addresses are live cloud hosts and the intelligence shown about them is fetched at request time, so any of it can be checked. Risk tuning is sandboxed per visitor, so nothing you change affects anyone else. And a firewall must read a request to score it, so ATF is a trusted endpoint for the outer envelope; only destination-sealed fields are opaque to it.
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