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agentrank-mcp
Advanced tools
MCP server for AgentRank / AgentIndex — search real, verifiable businesses for AI agents.
MCP server for AI agents to search real, source-backed businesses. Every result carries a source URL and a trust score, so your agent acts on facts — never invented phone numbers or addresses. Coverage: Brazil, US, Europe (~2.7M businesses, growing).
Works with any MCP client (Claude Desktop, Cursor, …).
Public beta · free key, no invite · website: https://agentsafepath.com ·
official MCP registry: io.github.saviodamato/agentrank-mcp.
search_businesses(intent, limit=10) — find businesses by a natural-language
intent (e.g. "farmácia em Copacabana com telefone", "software company in California").
Returns ranked results with fit_score, trust_score, justification, risks and the
source URL of each fact.get_business_profile(company_id) — full profile of a result: location, contact
channels, hours, offers, policies and evidence, each with provenance and source.Register your agent (free, no invite) at
https://agentsafepath.com/registrar.html — you receive a key once. It identifies
your agent and is sent as Authorization: Bearer <key>.
Edit claude_desktop_config.json (Settings → Developer → Edit Config) and add:
{
"mcpServers": {
"agentrank": {
"command": "uvx",
"args": ["agentrank-mcp"],
"env": { "AGENTRANK_API_KEY": "ak_your_key_here" }
}
}
}
Restart Claude Desktop. You'll see search_businesses and get_business_profile
available. (uvx comes with uv; or use the "From source"
option below.)
Add the same block under mcpServers in your Cursor MCP settings.
pip install -r requirements.txt
AGENTRANK_API_KEY=ak_your_key_here python -m agentrank_mcp.server
And point your client's command at python with args
["-m", "agentrank_mcp.server"] and the folder on PYTHONPATH.
| Var | Required | Default |
|---|---|---|
AGENTRANK_API_KEY | yes | — |
AGENTRANK_BASE_URL | no | https://api.agentrank.intelligenceofcode.com |
The key is never logged.
Public beta. Free tier: ~100 queries/day, 1500/month per agent (HTTP 429 with
Retry-After when exceeded). One key per agent; the key is shown once at registration.
Every result carries sources (source URLs). Verify provenance before acting —
data without a source should not be used. trust_score (0–100) reflects how safe the
entity is to commit to; fit_score reflects match to the intent.
mcp-name: io.github.saviodamato/agentrank-mcp
FAQs
MCP server for AgentRank / AgentIndex — search real, verifiable businesses for AI agents.
We found that agentrank-mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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