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
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.
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 GitHubFrom 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
| 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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