mcp-server

Boost AI Search with eGEOagents

Name: Boost AI Search with eGEOagents
Author: mverab

Optimize content for ChatGPT and more with eGEOagents, a toolkit for startup founders, 145 GitHub stars

From the repo · “Open-source Generative Engine Optimization (GEO) & Answer Engine Optimization (AEO) toolkit — optimize content to rank in ChatGPT, Perplexity, Gemini & Claude. AI SEO / LLM SEO. CLI, Claude Code, MCP.”

205 stars+1★ this week58 forksPythonGuide quality 8/10 · reviewed Aug 9Updated 10/25/2026100% free · open source

What it does

eGEOagents is an open-source toolkit that optimizes content to rank higher in AI models like ChatGPT, Perplexity, Gemini, and Claude

When to use it

•When creating content that needs to be discovered by AI-powered search engines
•When optimizing existing content to improve its visibility in AI-driven platforms
•When developing AI-powered applications that require optimized content for better user engagement

Ready-to-paste prompt

python -m ego optimize --config config.json --input example.txt --output optimized_example.txt --engine chatgpt

Heads up: Make sure to have Python installed on your system, as eGEOagents is a Python-based toolkit, and also be aware that some features might require access to specific AI models or APIs, which may have usage limits or require authentication

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/egeoagents && curl -fsSL https://workflowstacks.com/api/skills/egeoagents/claude-skill -o ~/.claude/skills/egeoagents/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Boost AI Search with eGEOagents works

Codeflow

Free to inspect

Boost AI Search with eGEOagents is a medium Python project (~8.4k lines across 34 code files, plus 14 test files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit this month, MIT license, has a test suite.

Size

Medium codebase

~8.4k lines · 34 code files · ~1 h to skim

Setup

Some technical setup

Comfortable with a terminal? 20–40 min. Otherwise ask a dev.

Runs on

Python

No API keys detected

Python 82%Astro 10%HTML 6%Shell 2%JavaScript 1%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
AGENTS.md
The instructions the AI actually follows
3
egeo/cli.py
Where the program starts running
4
pyproject.toml
Dependencies and the commands it exposes
5
examples/project.yaml
A worked example — copy this to get going

What's in each folder

prompts/Prompts, skills & agent definitions8 files

site/Frontend / UI38 files

docs/Documentation11 files

examples/Examples you can copy5 files

openspec/Folder51 files

egeo/Folder39 files

collectors/Folder10 files

geo-output/Folder10 files

READMEHas testsDocumentedCI checksExamples includedMIT licenseUpdated this month