canonry MCP Server
Canonry/canonry
[](https://agentrank-ai.com/tool/Canonry--canonry/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Agent-first AI SEO (AEO/GEO) operating platform
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Canonry/canonry is a TypeScript tool licensed under MIT. Agent-first AI SEO (AEO/GEO) operating platform Topics: aeo, seo-optimization, answer-engine-optimization, seo, agent, ai-search, ai-visibility, answer-engine-optimisation, brand-monitoring, cli, generative-engine-optimization, geo-optimization, local-first, mcp, self-hosted, sqlite, google-analytics, server-side-tracking, web-analytics, geo.
Ranked #2764 out of 24846 indexed tools.
Ecosystem
Score Breakdown
176 stars → growing community
Last commit 29d ago → recently updated
94/140 issues closed → decent issue management
5 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
# Canonry
Canonry is an **agent-first (CLI, MCP, API), open-source AEO operating platform with a comprehensive web UI.** Track AI visibility over time, investigate changes across search and traffic, and measure progress after you or your agent acts.
**Self-hosted, using SQLite, with your own (BYOK) provider keys.** The web UI and your agent see the same evidence.
[Live UI Demo](https://custom-demo.canonry.ai/projects/summit-roofing) · [Quick start](#quick-start) · [Evidence](#explore-the-evidence) · [Actions](#act-on-the-evidence) · [Integrations](#integrations) · [Docs](#documentation) · [Support](#support)
<p align="center">
<a href="https://raw.githubusercontent.com/Canonry/canonry/main/docs/images/measure-act.svg">
</a>
</p>
## Quick start
<a id="or-use-any-shell-capable-coding-agent"></a>
### Start with your agent
<details>
<summary>Copy the first-time setup request</summary>
```text
Help me set up Canonry for my public site.
Use the official Canonry docs:
- Ag Read full README on GitHub → Get the weekly AgentRank digest
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