CompareFairly MCP Server

CompareFairly MCP Server

Provides AI agents with real-time access to neutral, sourced comparisons across products and services in multiple languages and countries, with tools for searching, fetching detailed comparisons, and listing categories.

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README

CompareFairly MCP Server

Model Context Protocol server for CompareFairly - a universal, AI-driven comparison engine. It gives AI agents real-time access to neutral, sourced comparisons across any category (products, services, and more), in multiple languages and countries.

Runs as a stdio server (dependency-free bridge) or can be called directly as a remote HTTP endpoint.

  • Remote endpoint: https://comparefairly.com/mcp (Streamable HTTP, JSON-RPC 2.0)
  • Auth: none (public, read-only) · CORS: open · Rate-limited per IP

Why

Comparison is one of the top things people (and now agents) use AI for, but most comparison content is opinion or pay-to-rank. CompareFairly is built on three principles that make it a trustworthy data source for agents:

  • Provable neutrality - ranking is never bought; sorted on measured criteria.
  • Traceability - every value links to a source; "sourced" vs "estimate" is explicit.
  • Freshness - each comparison exposes its data age and TTL; stale data is flagged.

Tools

Tool Description
search_comparisons Search the catalog. Params: query, lang, country, limit.
get_comparison One full structured comparison (scores, sub-scores, per-criterion values, badges, sources, freshness). Params: slug, lang, country.
list_categories Top-level categories for a market. Params: lang, country.

A comparison exists per market: always pass the same lang + country you got from search_comparisons. If a slug exists only in other markets, get_comparison returns available_markets so the agent can retry correctly.

Install

Option 1 - stdio via npx (no install)

npx -y github:cgdev2019/comparefairly-mcp

Client config:

{
  "mcpServers": {
    "comparefairly": {
      "command": "npx",
      "args": ["-y", "github:cgdev2019/comparefairly-mcp"]
    }
  }
}

Option 2 - Docker

docker build -t comparefairly-mcp .
docker run --rm -i comparefairly-mcp
{
  "mcpServers": {
    "comparefairly": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "comparefairly-mcp"]
    }
  }
}

Option 3 - remote HTTP (no local process)

{
  "mcpServers": {
    "comparefairly": {
      "type": "streamable-http",
      "url": "https://comparefairly.com/mcp"
    }
  }
}

Requires Node >= 18 for the stdio options. Override the backend with COMPAREFAIRLY_MCP_URL if needed.

Raw calls

# List tools
curl -s -X POST https://comparefairly.com/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

# Search
curl -s -X POST https://comparefairly.com/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"search_comparisons","arguments":{"query":"password manager","lang":"en","country":"US","limit":5}}}'

Other machine formats

Every comparison is also available without MCP, at the same URL plus a suffix:

  • …/{lang}/{country}/{slug}.json - structured data (scores, sources, freshness)
  • …/{lang}/{country}/{slug}.md - clean Markdown
  • Discovery guide for agents: https://comparefairly.com/llms.txt

License & data terms

This repository (code and docs) is provided under the MIT License. The comparison data returned by the server is subject to CompareFairly's usage terms: citation with a link is welcome; bulk extraction and redistribution of the catalog is not permitted. For volume access, use the contact page.

Links

  • Website: https://comparefairly.com
  • MCP endpoint: https://comparefairly.com/mcp
  • Agent guide: https://comparefairly.com/llms.txt

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