mcp-geo

★ 38

codex-usage-tracker

★ 196

mcp-geo vs codex-usage-tracker

Q: Which is better, mcp-geo or codex-usage-tracker?

By GitHub stars, codex-usage-tracker has more community adoption, but the best choice depends on your specific use case.

mcp-geo: mcp-geo is an open-source AI visibility tracker that measures how often your brand is cited by various generative AI models like ChatGPT, Claude, and Gemini. It acts as a Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) tool, offering insights into your brand's presence in AI-generated answers and providing content gap analysis.; codex-usage-tracker: Codex Usage Tracker is a local-first tool that provides a dashboard, CLI, and companion plugin for analyzing OpenAI Codex token usage and costs. It reads local log files, indexes usage data into SQLite, and helps developers understand where their credits are being spent.

TL;DR

mcp-geoObservability · ★ 38

SEO/GEO strategists measuring AI search presence

Read mcp-geo full review →

codex-usage-trackerObservability · ★ 196

Track and analyze OpenAI Codex token usage and estimated costs locally without uploading logs.

Read codex-usage-tracker full review →

Side-by-Side Comparison

Field

mcp-geo

codex-usage-tracker

Features

mcp-geo

01Track AI brand visibility across multiple LLMs

02Automated scheduled visibility scans

03Competitor visibility comparison and share-of-voice analysis

04Identify content gaps with AI-generated recommendations

05Integrate with various MCP-compatible AI clients for natural language interaction

codex-usage-tracker

01Local-first dashboard with live refresh and various views (Overview, Calls, Threads, Diagnostics).

02Indexes aggregate usage counters and local content evidence into an SQLite database.

03Provides CLI for summaries, queries, CSV export, and support bundles.

04Companion Codex plugin and skills for conversational usage analysis and waste discovery.

05Supports localized UI text for the dashboard, including Simplified Chinese.

Use Cases

mcp-geo

↳SEO/GEO strategists measuring AI search presence

↳Brands monitoring their mentions in generative AI responses

↳Content creators identifying gaps in their content strategy

↳Developers building custom AI agents needing brand visibility data

codex-usage-tracker

↳Track and analyze OpenAI Codex token usage and estimated costs locally without uploading logs.

↳Identify threads, models, or subagents that consume the most tokens and contribute to unexpected costs.

↳Optimize usage by identifying high-context, low-cache calls and understanding context bloat in long chats.

↳Use the companion Codex skill to converse with usage data, ask questions, and get recommendations for reducing token waste.

Best For

mcp-geo

—

codex-usage-tracker

Hidden Gem

FAQ

What is the difference between mcp-geo and codex-usage-tracker?

Both mcp-geo and codex-usage-tracker are in the Observability category. mcp-geo has 38 stars, while codex-usage-tracker has 196 stars.

Which is better, mcp-geo or codex-usage-tracker?

The best choice depends on your use case. Choose mcp-geo if SEO/GEO strategists measuring AI search presence, and codex-usage-tracker if Track and analyze OpenAI Codex token usage and estimated costs locally without uploading logs..

Is mcp-geo free or open source?

Yes, mcp-geo is open source on GitHub (MIT).

Is codex-usage-tracker free or open source?

Yes, codex-usage-tracker is open source on GitHub (MIT).

Cloud Infrastructure

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Alternatives to mcp-geo →Alternatives to codex-usage-tracker →mcp-geo details →codex-usage-tracker details →

TL;DR

Side-by-Side Comparison

Features

Use Cases

Best For

FAQ

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