CompareFairly MCP Server
Click on "Deploy 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
This server cannot be deployed
Maintenance
Related MCP Connectors
Neutral, sourced comparisons on any topic, in 32 languages. Each value links to its source.
Search, compare, and find alternatives across a catalog of 3,000+ AI tools.
Comparison intelligence: live evidence from 20 sources, PESTLE/VS/Deep Research frameworks.
Independent directory of agentic AI tools — search, compare & recommend via MCP. Read-only.
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