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agentrank-mcp

agentrank-mcp

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github.com/saviodamatoBusiness & Marketing0Updated 16w ago

About agentrank-mcp

agentrank-mcp is an MCP server for agents searching and looking up businesses in Brazil, the US, and Europe. Results include source URLs, provenance, and fit and trust scores to support evidence-based use.

Key features

  1. 01Natural-language business search
  2. 02Ranked results with fit and trust scores
  3. 03Source URLs for reported facts
  4. 04Profiles with contacts and business details
  5. 05Provenance for profile information

Use cases

  1. 01Find local businesses by city and category
  2. 02Look up a company and its contacts
  3. 03Check evidence before acting on business data

MCP support

The MCP server provides `search_businesses` and `get_business_profile` to MCP clients. Searches return ranked, source-linked results; profiles include business details and their provenance.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"saviodamato-agentrank": {
"command": "uvx",
"args": [
"agentrank-mcp"
],
"env": {
"AGENTRANK_API_KEY": "<AGENTRANK_API_KEY>",
"AGENTRANK_BASE_URL": "<AGENTRANK_BASE_URL>"
}
}
}
}
Run commanduvx agentrank-mcp
Environment variables to set
AGENTRANK_API_KEYSecretYour AgentRank agent API key (register at https://agentsafepath.com/registrar.html).
AGENTRANK_BASE_URLAPI base URL (optional).

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiagentrank-mcp0.1.3

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

AgentRank MCP server

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.

Use cases

  • Business search / company lookup with source-backed data.
  • Local business search for agents (city + category + contact).
  • Company profile: contacts, address, website, provenance.
  • Source-backed company data instead of hallucinated details.

Tools

  • 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.

1. Get an API key

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>.

2. Add it to your MCP client

Claude Desktop

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.)

Cursor

Add the same block under mcpServers in your Cursor MCP settings.

From source (no packaging)
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.

Environment variables

VarRequiredDefault
AGENTRANK_API_KEYyes—
AGENTRANK_BASE_URLnohttps://api.agentrank.intelligenceofcode.com

The key is never logged.

Beta & limits

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.

How agents should use the data

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

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