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Comparefairly MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Neutral, sourced, real-time comparisons on any topic, in 32 languages.

About

Neutral, sourced, real-time comparisons on any topic, in 32 languages.

Remote endpoints: streamable-http: https://comparefairly.com/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

3 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-cgdev2019-comparefairly-mcp": {
      "url": "https://comparefairly.com/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub 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

ToolDescription
search_comparisonsSearch the catalog. Params: query, lang, country, limit.
get_comparisonOne full structured comparison (scores, sub-scores, per-criterion values, badges, sources, freshness). Params: slug, lang, country.
list_categoriesTop-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

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