garl
OfficialThis server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Archived on 24 September 2026. GARL is no longer maintained, and the hosted service (garl.ai, api.garl.ai) no longer accepts agents, traces or receipts. The code remains available under Apache-2.0. The 12 receipts anchored on Base mainnet remain verifiable at garl.ai/anchors. Contact: contact@garl.ai. Revival notes: docs/runbooks/sunset.md.
Try it now
Path A — For Agents (SDK / MCP)
With Claude Desktop or Cursor (MCP)
Add to your Claude Desktop config (claude_desktop_config.json) or Cursor MCP settings:
{
"mcpServers": {
"garl": {
"command": "npx",
"args": ["-y", "@garl-protocol/mcp-server"]
}
}
}That's it — 29 named tools (including batch variants like garl_verify_batch) are now available in your AI assistant: receipts, Trust Vector lookups, capability tokens (issue/verify/revoke), Capability Gate pre-flight, UETA §10(b) undo, and more.
With curl (zero install)
# Check an agent's trust score
curl -s "https://api.garl.ai/api/v1/trust/verify?agent_id=5872ce17-5718-4980-ade3-e51c9556fb53" | python3 -m json.tool
# Find the most trusted coding agent
curl -s "https://api.garl.ai/api/v1/trust/route?category=coding&min_tier=silver" | python3 -m json.tool
# See the live leaderboard
curl -s "https://api.garl.ai/api/v1/leaderboard?limit=5" | python3 -m json.toolWith Python
pip install garl-protocolimport garl
garl.init("your_api_key", "your_agent_uuid")
garl.log_action("Analyzed dataset", "success", category="data")
result = garl.is_trusted("target_agent_uuid", min_score=60)
if result["trusted"]:
print(f"Safe to delegate — score: {result['score']}/100")With JavaScript
npm install @garl-protocol/sdkimport { init, logAction, isTrusted } from "@garl-protocol/sdk";
init("your_api_key", "your_agent_uuid", "https://api.garl.ai/api/v1");
await logAction("Generated REST API", "success", { category: "coding" });
const result = await isTrusted("target_agent_uuid", { minScore: 60 });
if (result.trusted) {
console.log(`Safe to delegate — score: ${result.score}/100`);
}Capability tokens — authorization with hard limits
# Issue a scoped token for your agent (owner API key required)
curl -s -X POST https://api.garl.ai/api/v1/capability/issue \
-H "x-api-key: $GARL_API_KEY" -H "Content-Type: application/json" \
-d '{
"agent_id": "your-agent-uuid",
"scope": "payment:stripe.com",
"side_effect_class": "reversible",
"spend_limit_usd": 50,
"merchant_allowlist": ["stripe.com"],
"expires_in_seconds": 3600
}' | python3 -m json.tool
# Anyone can verify a token — no auth, no account
curl -s -X POST https://api.garl.ai/api/v1/capability/verify \
-H "Content-Type: application/json" \
-d '{"token": "<the JWT-form token>"}' | python3 -m json.toolA delegated child token can only narrow its parent (lower spend limit,
subset allowlist, equal-or-narrower scope, same-or-earlier expiry) — enforced
at issue time and re-checked link-by-link at verification. Full wire format:
protocol/spec/capability-token-v0.1.md.
Path B — For Code (GitHub Action, 5 lines of YAML)
Sign every AI-authored commit in your pull requests.
# .github/workflows/garl-receipt.yml
name: GARL Receipt
on:
pull_request:
types: [opened, synchronize, reopened]
jobs:
sign:
runs-on: ubuntu-latest
permissions: { contents: read, pull-requests: write, checks: write }
steps:
- uses: actions/checkout@v4
with: { fetch-depth: 0 }
- uses: Garl-Protocol/garl-receipt-action@v1.1.0
with:
garl-api-key: ${{ secrets.GARL_API_KEY }}
garl-agent-id: ${{ secrets.GARL_AGENT_ID }}Every PR gets a rolling GARL Receipt comment + informational check:
🔐 GARL Verified AI Code
├── Model: claude-opus-4-6
├── Tool: Claude Code
├── Files touched: 12
├── Duration: 4m 12s
├── Signed: ECDSA-secp256k1 ✓
└── Receipt: https://garl.ai/r/a8f3c2d1Setup guide: Garl-Protocol/garl-receipt-action ·
Live landing page: garl.ai/for-code.
Related MCP server: Witnessed
Receipts — a paste-ready proof for every trace
Every submitted trace gets a public shareable Receipt URL at
https://garl.ai/r/{short} — a cryptographic proof card (agent, tier, task,
duration, SHA-256 hash, ECDSA signature) with an Open Graph image that
previews richly in Slack, Twitter/X, GitHub PRs, and LinkedIn.
curl -s https://api.garl.ai/api/v1/verify/6ff83db8 | python3 -m json.tool
# → receipt_url: https://garl.ai/r/6ff83db8SDKs expose receipt_url / receiptUrl on every log_action / verify
return and a client.receipt(hash) shortcut. The MCP tool garl_receipt
resolves any short or full hash to a paste-ready URL.
GitHub Action — sign every AI-authored commit
Add Garl-Protocol/garl/integrations/github-action-receipt to your PR
workflow. It detects Claude Code, Cursor, GitHub Copilot, Aider, and Codex
co-author trailers, submits a signed trace per qualifying commit, and posts
a rolling PR comment + informational check with receipt URLs:
- uses: Garl-Protocol/garl/integrations/github-action-receipt@main
with:
garl-api-key: ${{ secrets.GARL_API_KEY }}
garl-agent-id: ${{ secrets.GARL_AGENT_ID }}Full setup in integrations/github-action-receipt.
Only metadata is uploaded — never diffs or source.
Why GARL?
Problem | GARL's Answer |
"What was this agent allowed to do?" | Capability tokens: |
"Did it stay inside those limits?" | Every Action Receipt binds |
"Is this agent reliable?" | 5-dimensional trust scoring with Exponential Moving Average |
"Which agent should I pick?" | Smart routing by category + minimum certification tier |
"Can I verify its track record?" | Immutable ledger with ECDSA-signed execution traces + shareable Receipt URLs |
"Does it work with my stack?" | MCP Server · A2A Protocol · REST API · Python & JS SDKs · GitHub Action |
"Prove this AI commit is real" | GitHub Action posts a signed receipt per AI-authored commit |
"What about on-chain agents?" | ERC-8004 format compatible (off-chain). Receipt-batch Merkle roots are anchored on Base mainnet ( |
Works with
How it works
Every agent action is hashed, signed, scored across five dimensions, and made queryable — creating a verifiable trust record.
Agent executes task → SHA-256 hash + ECDSA signature → 5D EMA scoring → Tier assigned → Queryable via API/MCP/A2A┌─────────────────────────────────────────────────────────────────┐
│ GARL Protocol │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ Python │ │ JS │ │ MCP │ │ A2A │ │
│ │ SDK │ │ SDK │ │ Server │ │ JSON-RPC │ │
│ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ │
│ │ │ │ │ │
│ └──────────────┴──────────────┴──────────────┘ │
│ │ │
│ ┌─────▼─────┐ │
│ │ FastAPI │ REST + A2A + MCP │
│ │ Backend │ Rate Limited + CORS │
│ └─────┬─────┘ │
│ │ │
│ ┌───────────────┼───────────────┐ │
│ │ │ │ │
│ ┌─────▼─────┐ ┌─────▼─────┐ ┌─────▼─────┐ │
│ │ Reputation│ │ Signing │ │ Webhook │ │
│ │ Engine │ │ Engine │ │ Engine │ │
│ │ • 5D EMA │ │ • SHA-256 │ │ • HMAC │ │
│ │ • Tiers │ │ • ECDSA │ │ • Retry │ │
│ └───────────┘ └───────────┘ └───────────┘ │
│ │ │
│ ┌─────▼─────┐ │
│ │ Supabase │ PostgreSQL + RLS │
│ │ │ Immutable Triggers │
│ └───────────┘ │
│ │
└─────────────────────────────────────────────────────────────────┘ERC-8004 Compatibility
GARL Protocol serves agent metadata in ERC-8004 format (off-chain). Separately, the Merkle roots of batched Action Receipts are anchored on Base mainnet (MerkleAnchor contract 0xBeD7EdeFbEb02be9682bCdeC5fb5D7DA28b1b6F2, chain 8453). Individual receipts are not written on-chain; anyone can verify a receipt's inclusion against an anchored root via verifyProof.
# Get ERC-8004 compatible metadata for any agent
curl -s "https://api.garl.ai/api/v1/agents/{agent_id}/erc8004" | python3 -m json.tool
# Get trust scores in ERC-8004 Reputation Registry feedback format
curl -s "https://api.garl.ai/api/v1/agents/{agent_id}/erc8004/feedback" | python3 -m json.toolGARL uses the same cryptographic curve as Ethereum (ECDSA-secp256k1), making trust attestations natively verifiable by on-chain systems.
Documentation
Topic | Link |
Capability Token wire format (spec) | |
Action Receipt wire format (spec) | |
Anchoring runbook (weekly Merkle anchor on Base) | |
Full API Reference (60+ REST endpoints + A2A + MCP) | |
MCP Server (29 named tools, including batch variants) | |
A2A Protocol Integration | |
ERC-8004 Compatibility | |
Python & JS SDKs | |
Architecture & Tech Stack | |
Deployment & Self-hosting | |
Security |
Interactive API explorer: api.garl.ai/docs (Swagger) · api.garl.ai/redoc
Live now
garl.ai — Live dashboard & real-time trust feed
Add your agent — Connect any agent (REST, SDK, MCP, GitHub Action) in three steps
My Agents — sign in (Clerk) and claim the agents you've connected by API key to track their activity from one place
Registry — Browse connected agents and their signed, verifiable activity
Verify — Public cryptographic trace verification
Playground — Interactive API explorer
Simulator — 5D trust score calculator with what-if analysis
Compare — Side-by-side agent comparison with radar overlay
Swagger — Full OpenAPI documentation
Anchors — every Merkle batch with its root, receipt count, and Base tx (
GET /api/v1/anchors)MerkleAnchor on Base — Receipt-batch Merkle roots anchored on Base mainnet (chain 8453)
MCP Registry — Listed as
io.github.Garl-Protocol/agent-trust
Contributing
GARL Protocol is open source under the Apache 2.0 License. Contributions are welcome — see CONTRIBUTING.md for guidelines and CODE_OF_CONDUCT.md for community standards. Every commit must be DCO-signed (git commit -s).
Requirements: Python 3.10+ for the backend (PEP 604 union syntax),
Node 18+ for the frontend. macOS users: the system python3 is 3.9
and will fail backend tests — install 3.10+ via pyenv / brew install python@3.12
and invoke explicitly (python3.12 -m pytest tests/).
Fork the repository
Create your feature branch (
git checkout -b feature/amazing-feature)Run tests (
python3.12 -m pytestfor backend,npx next buildfor frontend)Commit your changes with DCO sign-off (
git commit -s -m 'Add amazing feature')Open a Pull Request
Canonical registry, self-hosting, and marks
Canonical registry:
https://api.garl.ai— the single deployment whose public key anchors theGARL Verifiedstatus. Public keys are published at/.well-known/garl-keys.json.Self-hosting is supported and documented in
docs/self-host.md. Self-hosted deployments are first-class participants but are not the canonical registry; see GOVERNANCE.md.Trademark policy: TRADEMARK.md. The source code is Apache 2.0; the GARL name and logo are project marks and subject to the policy.
Project decision-making, breaking-change process, and the boundary between repository features (Apache 2.0 forever) and potential future Cloud-only services on the canonical registry are documented in GOVERNANCE.md.
License
Apache License 2.0 — see LICENSE for details.
This server cannot be deployed
Maintenance
Related MCP Connectors
Issue signed receipts for AI agent actions; verify any receipt offline - free, no account.
Context and control for any AI. Agent identity, scoped access, and proof across tools.
Discover, invoke, and trustlessly verify ForceDream AI agents with cryptographic proofs. 17 tools.
AI-agent trust infrastructure for discovery, authority, execution, verification, and receipts.
Related MCP Servers
- AlicenseAqualityAmaintenanceCryptographic accountability for AI agents. Ed25519-signed receipts for every MCP tool call. Constraints, chains, AI judgment, invoicing, and local dashboard included.245 npm1MIT
- AlicenseNot gradedqualityDmaintenanceVerifiable action receipts for AI agents — agents sign claims locally, an independent witness countersigns and timestamps, anyone can verify offline.7 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to sign and verify actions with ML-DSA-65 digital signatures, providing tamper-proof receipts that can be verified offline without any secrets.MIT
- AlicenseAqualityBmaintenanceEnables AI agents to create cryptographically verifiable receipts of their delegated work, with capabilities for multi-party approval and offline verification.1196 npmApache 2.0