AGA MCP Server
Cryptographic runtime governance for AI agents. 20 tools. Sealed policy artifacts, continuous measurement, tamper-evident proof. Ed25519 + SHA-256.
AGA - Attested Governance Artifacts
Cryptographic runtime governance for AI agents and autonomous systems.
# Try it now
pip install aga-governance
python -m aga demo
python -m aga verify demo-bundle.json
What This Does
Every tool call an AI agent makes passes through the AGA gateway. Each call is evaluated against policy, and the decision (PERMITTED or DENIED) is recorded as a signed, hash-linked governance receipt. Receipts are collected into evidence bundles that any third party can verify offline using standard cryptography.
Record. Prove. Verify.
Use with Claude Desktop
Add to your Claude Desktop MCP config (claude_desktop_config.json):
{
"mcpServers": {
"aga": {
"command": "npx",
"args": ["-y", "@attested-intelligence/aga-mcp-server"]
}
}
}
Claude can then seal artifacts, measure integrity, generate evidence bundles, and verify compliance through natural language.
MCP Tools (20)
| Category | Tools |
|---|---|
| Identity | get_server_info, get_portal_state |
| Lifecycle | init_chain, attest_subject, revoke_artifact |
| Enforcement | measure_integrity, measure_behavior, verify_chain |
| Evidence | create_checkpoint, generate_evidence_bundle, verify_bundle_offline |
| Privacy | request_claim, list_claims |
| Delegation | delegate_to_subagent |
| Audit | get_receipts, get_chain_events |
Quick Start
Verify an evidence bundle (3 commands)
pip install aga-governance
curl -s https://aga-mcp-gateway.attestedintelligence.workers.dev/bundle -o evidence-bundle.json
python -m aga verify evidence-bundle.json
Or verify in your browser
Go to attestedintelligence.com/verify and click "Run Verification." Zero installs required.
How It Works
AI Agent AGA Gateway Verifier
| | |
|-- tools/call ----------->| |
| [Evaluate Policy] |
| [Sign Receipt] |
| [Chain to Previous] |
|<-- PERMITTED/DENIED -----| |
| | |
| [Export Bundle] |
| |--------- evidence.json ----->|
| | [Verify Signatures]
| | [Verify Chain]
| | [Verify Merkle Tree]
| | [PASS / FAIL]
MCP Governance Proxy
Run AGA as a transparent proxy between any MCP client and any MCP server. Every tool call gets evaluated against policy and produces a signed receipt.
# Start the proxy with an upstream MCP server
npx tsx src/proxy/index.ts start --upstream "npx -y @modelcontextprotocol/server-filesystem /tmp/test" --profile standard
# Export the evidence bundle
npx tsx src/proxy/index.ts export --output evidence.json
# Verify
npx tsx src/proxy/index.ts verify evidence.json
The proxy intercepts tools/call requests, evaluates them against a sealed policy artifact, and generates signed receipts. Permitted calls are forwarded to the downstream server. Denied calls return an MCP error. Every decision is hash-linked into a tamper-evident chain.
Three built-in policy profiles:
- permissive - log everything, block nothing (default)
- standard - rate limits + blocks destructive operations
- restrictive - explicit tool allowlist, all unknown tools denied
Verification (5 steps)
- Algorithm Check - Bundle declares Ed25519-SHA256-JCS, fail closed on anything else
- Receipt Signatures - Ed25519 over RFC 8785 canonical JSON (signature field excluded)
- Chain Integrity - Each receipt's
previous_receipt_hash= SHA-256 of the preceding receipt - Merkle Proofs - Walk siblings/directions to root, compare against bundle root
- Bundle Consistency - Proof count = receipt count, leaf hashes match receipt hashes
Cryptographic Primitives
| Primitive | Purpose |
|---|---|
| Ed25519 | Receipt signatures |
| SHA-256 | Hash chaining, Merkle trees, leaf computation |
| RFC 8785 (JCS) | Canonical JSON for deterministic signing |
| Merkle Trees | Binding all receipts to a single verifiable root |
Live Gateway
The demo gateway is deployed on Cloudflare Workers:
# Check status
curl https://aga-mcp-gateway.attestedintelligence.workers.dev/health
# Export evidence bundle
curl https://aga-mcp-gateway.attestedintelligence.workers.dev/bundle -o evidence-bundle.json
Python SDK
pip install aga-governance
from aga import AgentSession
with AgentSession(gateway_id="my-gateway") as session:
session.record_tool_call(
tool_name="search_web",
decision="PERMITTED",
reason="tool in allowlist",
request_id="req-1",
)
bundle = session.export_bundle()
result = session.verify()
assert result["overall_valid"]
Test Suite
355+ automated tests across TypeScript and Python:
- TypeScript MCP Server: 218 tests (vitest)
- Python SDK: 137 tests (pytest)
- Cross-language test vectors: 37 vectors across 9 categories
npm test # TypeScript tests
For the Python SDK, install aga-governance from PyPI: https://pypi.org/project/aga-governance/
Project Structure
src/ # Core protocol: artifacts, receipts, chain, Merkle, crypto, portal state machine
core/ # Governance primitives (artifact, receipt, chain, portal, bundle)
crypto/ # Ed25519, SHA-256, BLAKE2b, Merkle, JCS canonicalization
proxy/ # MCP governance proxy (transparent interception + policy enforcement)
tools/ # MCP tool handlers (20 tools)
middleware/ # Zero-trust governance enforcement wrapper
independent-verifier/ # Standalone verifier with zero AGA imports
scenarios/ # Deployment scenarios (SCADA, drone, AI agent)
tests/ # TypeScript test suite (218 tests)
Links
- Website
- Technology
- Live Verifier
- Trust and Scope
- Diligence Materials
- MCP Server (npm)
- Python SDK (PyPI)
Security
See SECURITY.md for vulnerability reporting.
Contributing
See CONTRIBUTING.md for development setup and guidelines.
License
Attested Intelligence Holdings LLC
相關伺服器
Apigene MCP Gateway
Apigene MCP Gateway is the runtime layer that connects AI agents to APIs and MCP servers via Model Context Protocol.
Firebreak
Security MCP server that turns your AI into a penetration tester.
Alpaca Trading
Manage stock and crypto portfolios, place trades, and access market data via the Alpaca Trading API.
CryptoAPIs MCP Simulate
MCP server for dry-run EVM transaction simulation via Crypto APIs
Draw-it MCP
An AI-powered drawing application for your browser. Draw, save, and get AI-powered insights.
EU AI Act Omnibus Tracker MCP
Tracks EU AI Act Digital Omnibus amendments in real time — monitors deadline shifts (Annex III delayed to Dec 2027, watermarking to Nov 2026), generates compliance impact assessments, and alerts on regulatory changes.
Ingero
eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime/Driver APIs via uprobes and host kernel events via tracepoints to build causal chains explaining GPU latency. 7 MCP tools for AI-assisted GPU debugging and root cause analysis. <2% overhead, production-safe.
ALTER
ALTER - identity infrastructure for the AI economy
APOLOGY-AS-A-SERVICE
A live Model Context Protocol (MCP) server that provides context-aware crisis communication for AI agents
Control4 MCP Server
A safe-by-default MCP server that exposes your Control4 home automation (lights, scenes, locks, thermostats, and media) as structured tools over HTTP and Claude Desktop STDIO for reliable AI-powered control on your local network.