CompareFairly MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@CompareFairly MCP Servercompare the best wireless earbuds"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Related MCP server: PriceAtlas MCP Server
Tools
Tool | Description |
| Search the catalog. Params: |
| One full structured comparison (scores, sub-scores, per-criterion values, badges, sources, freshness). Params: |
| Top-level categories for a market. Params: |
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-mcpClient 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 MarkdownDiscovery 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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