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BittleBits GEO Assistant

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Brings GEO scores and AI rewrite suggestions into MCP agents as tools.

MCP ServerOtherRemote (streamable-http)
View on GitHub
Updated 2026-06-16

What is the BittleBits GEO Assistant MCP server?

The server provides two tools that let agents evaluate and improve web page content for generative engine optimization without manual copy-paste. get_score returns dimension-level GEO metrics while get_rewrite supplies both the original content and an optimized version.

All processing occurs on the hosted BittleBits platform. Users authenticate once through a browser OAuth flow and can then invoke the tools directly from their AI client.

Install & connect

Add this to your MCP client config. Pick your client below and copy.

{
  "mcpServers": {
    "bittlebits": {
      "url": "https://bittlebits.ai/mcp"
    }
  }
}

Tools it exposes

2 tools your AI client can call once connected.

get_scoreReturns GEO metric scores (0–10 per dimension) for a page
get_rewriteReturns your original page content and a rewritten version with BittleBits suggestions applied

Example prompts

Once connected, try asking your AI client:

Get the BittleBits score for https://example.com/landing and list the lowest dimensions.
Rewrite my homepage using get_rewrite but keep the casual brand voice.
Score this product page and tell me which areas need the most improvement.
Compare GEO scores for my site and two competitor URLs.

Security & permissions

Remote server accessed over Streamable HTTP; requires OAuth 2.0 browser sign-in to a BittleBits account. No local tokens or API keys are stored.

What you can do with BittleBits GEO Assistant

Landing page audit

Ask your agent to score a landing page and identify the weakest GEO dimensions.

Content optimization

Request a rewrite of homepage copy that applies BittleBits suggestions while preserving tone.

Competitive review

Score multiple competitor pages to compare GEO performance across dimensions.

How to use BittleBits GEO Assistant

  1. 1Open your MCP client settings.
  2. 2Add a new connector or server entry named BittleBits.
  3. 3Set transport to streamable-http and URL to https://bittlebits.ai/mcp.
  4. 4Save and trigger the OAuth login flow in your browser.
  5. 5Confirm connection and begin using get_score or get_rewrite.

BittleBits GEO Assistant: pros & cons

Pros

  • +No local setup or API keys needed.
  • +Direct tool access inside supported AI clients.
  • +OAuth login handled automatically via browser.
  • +Clear, documented tools for GEO tasks.

Cons

  • Requires a BittleBits account.
  • Only two tools available.
  • Dependent on remote service availability.
Did you find this helpful?

Frequently asked questions

No. The server is fully remote and uses Streamable HTTP.

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