MCP.Market

GenGEO Agent Registry MCP server

online · 100% uptime
by warwickwood-cell·io.github.warwickwood-cell/gengeo·v1.0.0·3 stars

Merchant verification for AI shopping agents.

B79/100grade B
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B79/100

full report

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3 stars

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GenGEO Agent Registry tools (1)

write = sends, deletes, buys or posts
  • verify_storeFree

    Verify 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

no findings
  • –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
Overall 79/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

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
Add to Cursor

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 gengeo

Quick 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.