GenGEO Agent Registry MCP server
online · 100% uptimeio.github.warwickwood-cell/gengeo·v1.0.0·3 starsMerchant verification for AI shopping agents.
3 stars
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GenGEO Agent Registry tools (1)
write = sends, deletes, buys or postsverify_storeFreeVerify whether a merchant has an active GenGEO verification record. Results should be treated as one signal within a broader agent decision framework.
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 570ms20/20
- Tool poisoning1 tool descriptions checked15/15
- Auth qualityopen endpoint, read-only tools10/15
- Maintenancelast push 120 days ago8/15
- Maintainer identityregistry namespace matches repository owner6/10
How GenGEO Agent Registry compares
Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 79/100
- higher than 58% of 4,460 AI and agents servers
- Tools
- 1
- the typical AI and agents server has 6
- Tools that change things
- 0%
- typical: 0%. Fewer write tools means less an agent can break
- Uptime
- 100%
- of our recent checks; the typical remote AI and agents server answers 100%
- Response time
- 328 ms
- faster than 43% of 2,331 AI and agents servers
- GitHub stars
- 3
- more than 75% of 2,711 AI and agents servers
What its tools let an agent do: 1 read
Install GenGEO Agent Registry in Claude Code, Cursor or VS Code
claude mcp add --transport http gengeo https://mcp.gengeo.co/mcp
What the publisher says
From the GenGEO Agent Registry repository's README, as published. We do not edit it. Read it on GitHub
GenGEO Agent Registry
Machine-readable trust infrastructure for autonomous commerce systems.
GenGEO is building the world's largest merchant trust registry for AI agents and the foundation of a global reputation network for agentic commerce.
GenGEO enables AI agents and developers to verify whether an ecommerce merchant meets a high operational verification threshold before autonomous purchasing or recommendation decisions are made.
As AI agents increasingly transact on behalf of users, a major infrastructure problem is emerging:
There is currently no standardized machine-readable trust layer for determining whether a merchant is operationally ready and appropriate for autonomous transactions.
At the same time, legitimate AI-driven commerce activity is increasingly colliding with fraud and bot-detection systems that cannot distinguish autonomous AI agents from malicious automation.
AI agents can already:
- discover products
- browse stores
- compare pricing
- recommend merchants
- and increasingly complete purchases
But there is still no common verification layer for evaluating merchant transaction readiness before autonomous commerce actions proceed.
GenGEO helps reduce transaction uncertainty by providing a deterministic machine-readable verification signal that agents can incorporate into broader commerce decision frameworks.
GenGEO
Trust verification SDK for AI agents.
Verify whether an ecommerce merchant meets GenGEO trust standards before recommending, purchasing, or transacting.
GenGEO provides lightweight SDKs and APIs for merchant verification within autonomous commerce and AI-agent workflows.
Install
# JavaScript / Node.js
npm install @gengeo/gengeo
# Python
pip install gengeoQuick Start
JavaScript / Node.js
import { verify } from '@gengeo/gengeo'
const result = await verify('store.example.com')
console.log(result)
/*
{
verified: true,
decision: 'verified',
registry: 'gengeo'
}
*/Python
from gengeo import verify
result = verify('store.example.com')
print(result)
# {
# 'verified': True,
# 'decision': 'verified',
# 'registry': 'gengeo'
# }cURL
curl "https://api.gengeo.co/api/verify?domain=store.example.com"Why GenGEO?
AI agents increasingly transact autonomously on behalf of users.
GenGEO provides a standardized trust verification layer that helps agents evaluate whether a merchant is safe and transaction-ready before executing commerce actions.
Use Cases
- AI shopping agents
- MCP commerce tools
- Autonomous checkout workflows
- Merchant trust verification
- Agentic commerce infrastructure
Docs
For MCP-enabled integrations and agent workflows:
https://gengeo.co/docs
https://gengeo.co/acp
Why This Exists
Traditional ecommerce trust systems were designed primarily for humans:
- branding
- visual design
- reviews
- SEO
- reputation
Autonomous agents evaluate commerce differently.
Agents increasingly rely on:
- structured data
- machine-readable policies
- operational signals
- transaction readiness
- trust infrastructure
GenGEO exists to help address this emerging infrastructure gap through machine-readable merchant verification for autonomous commerce systems.
Verification Model
GenGEO uses a deterministic verification model designed to evaluate whether merchants meet a high operational verification threshold before autonomous agents proceed with commerce actions.
Verification may include signals such as:
- machine-readable policies
- operational completeness
- transaction readiness
- structured commerce metadata
- storefront verification state
- agent compatibility checks
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
GenGEO Agent Registry: common questions
- Is GenGEO Agent Registry MCP server safe?
- Mostly: it is graded B (79/100). Read the GenGEO Agent Registry safety report
- How do I install GenGEO Agent Registry?
- It runs remotely at mcp.gengeo.co. 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 GenGEO Agent Registry need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is GenGEO Agent Registry maintained?
- The last commit was 157 days ago (2026-05-30). The latest release is v1.0.0.
- Is GenGEO Agent Registry up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- How does GenGEO Agent Registry compare with other AI and agents MCP servers?
- safety score 79/100 (higher than 58% of 4,460 AI and agents servers); tools 1 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.