Hackathon SEO Analyst Agent
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., "@Hackathon SEO Analyst AgentAnalyze this raw SEO JSON and show me the key metrics"
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.
Hackathon SEO Analyst Agent (MCP)
📌 What It Does & Who It's For
The Hackathon SEO Analyst is an autonomous data-engineering agent built for marketing teams and backend engineers. It utilizes the Model Context Protocol (MCP) to natively ingest, parse, and flatten heavily nested, stringified JSON datasets into clean, actionable SEO metrics without requiring manual data-transformation scripts.
Related MCP server: kwrds.ai MCP Server
⚙️ Setup Instructions
A stranger can reproduce this environment by following these steps:
Clone the repository:
git clone https://github.com/muhammadtaimoorajmal/seo-analyst-agent.gitInstall dependencies:
npm installConfigure environment variables: Create a
.envfile and add yourANTHROPIC_API_KEY.Start the local MCP server:
npm run start:mcp
💻 Usage Example
Send a raw, stringified JSON payload to the agent's endpoint:
curl -X POST http://localhost:3000/api/analyze \
-H "Content-Type: application/json" \
-d "{\"raw_data\": \"{\\\"seo_score\\\": \\\"85\\\", \\\"traffic\\\": \\\"1420\\\"}\"}"This server cannot be deployed
Maintenance
Related MCP Connectors
Turn Search Console data into SEO actions, content, publishing, indexing, and AI insights.
- VibeSEOOAuthdev.vibeseo
SEO research, audits, backlinks, GSC, and content workflow tools for AI agents.
Real SEO data for AI assistants: page audits, Keyword Planner volumes, Search Console history.
Full-cycle SEO automation for AI agents: technical audits, SEO articles, machine-readable pricing.
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