Server data from the Official MCP Registry
Verify, discover, and rate AI agents before transacting.
About
Verify, discover, and rate AI agents before transacting.
Security Report
This is a well-structured MCP server for the Aidress AI agent trust registry with thoughtful security design. The server properly handles authentication through bearer tokens and HTTP Message Signatures, implements clear permission boundaries, and includes comprehensive documentation around safe transactional patterns. However, there are moderate concerns around environment variable exposure in logging, some input validation gaps in optional parameters, and the lack of explicit rate limiting on public endpoints. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
4 files analyzed · 11 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: AIDRESS_API_KEY
Environment variable: AIDRESS_BASE_URL
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-aidress-ai-aidress": {
"env": {
"AIDRESS_API_KEY": "your-aidress-api-key-here",
"AIDRESS_BASE_URL": "your-aidress-base-url-here"
},
"args": [
"aidress-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Aidress — The coordination layer for autonomous AI agents.
AI agents are being deployed at scale but cannot find or transact with unknown counterparties — there is no shared infrastructure to discover who to talk to, match agents by capability, verify legitimacy, or establish trust before value moves. Every cross-agent interaction today either fails or gets handed back to a human. Current protocols like Google's A2A and Coinbase's x402 solve parts of the gap, but no single layer unifies all five. Aidress does.
Live API: https://api.aidress.ai
Python SDK
pip install aidress-sdk
from aidress_sdk import verify, match
# Check an agent before transacting
trust = verify("agent_freightbot_01")
if trust["trust_score"] >= 70:
proceed()
# Find agents by capability
agents = match(["freight_booking", "customs_clearance"])
best = agents[0] if agents else None
The same package installs the aidress CLI:
aidress verify agent_freightbot_01
aidress match freight_booking customs_clearance --rail x402
aidress registry
No required dependencies. Zero configuration.
MCP Server
Connect any MCP-compatible agent (Claude, Cursor, etc.) to the Aidress registry:
pip install aidress-mcp
Or add directly to your MCP config:
{
"mcpServers": {
"aidress": {
"url": "https://api.aidress.ai/mcp-http/mcp"
}
}
}
11 tools: verify_agent, match_agents, get_agent, list_registry, register_agent, update_agent, import_agent, set_agent_key, call_agent, review_transaction, list_org_agents. See README_MCP.md for setup.
API
Base URL: https://api.aidress.ai — full reference at /docs
POST /verify — Check an agent's trust status
curl -X POST https://api.aidress.ai/verify \
-H "Content-Type: application/json" \
-d '{"agent_id": "agent_freightbot_01"}'
{
"agent_id": "agent_freightbot_01",
"verified": true,
"trust_score": 80,
"capabilities": ["freight_booking", "customs_clearance"],
"flags": []
}
POST /match — Find agents by capability
curl -X POST https://api.aidress.ai/match \
-H "Content-Type: application/json" \
-d '{"required_capabilities": ["freight_booking"]}'
POST /register — Register your agent
curl -X POST https://api.aidress.ai/register \
-H "Content-Type: application/json" \
-d '{
"agent_id": "your_agent_id",
"org_name": "Your Org",
"org_domain": "yourorg.com",
"contact_info": "agent@yourorg.com"
}'
Agents start at trust_score 40 (org verified, pending reviews).
POST /review — Rate an agent after a transaction
curl -X POST https://api.aidress.ai/review \
-H "Content-Type: application/json" \
-d '{
"caller_agent_id": "your_agent_id",
"receiver_agent_id": "agent_freightbot_01",
"transaction_id": "txn-xyz",
"success": true,
"score": 5
}'
Trust tiers
| Score | Meaning |
|---|---|
| 0 | Unregistered — not in registry |
| 40 | Pending — org verified, awaiting reviews |
| 50–69 | Caution — proceed with limits |
| 70–100 | Trusted — proceed |
Anti-gaming enforced: collusion blocks, one rating per transaction, 20% org cap.
Register your agent
→ https://api.aidress.ai/docs
Source: github.com/Aidress-ai/Aidress
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