What is GeoGuessrMCP CLAUDE.md?

Repository instructions for an MCP server that lets Claude analyze GeoGuessr game statistics. They describe its API client, authentication, data models, tools, and handling of API changes.

Use them when developing or debugging the GeoGuessr MCP server, including its API integration, authentication, statistics, tools, and schema monitoring.

They give an AI coding agent the project structure and key design concepts needed to make compatible changes.

How NyxiumYuuki/GeoGuessrMCP configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to NyxiumYuuki/GeoGuessrMCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/NyxiumYuuki/GeoGuessrMCP/master/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/NyxiumYuuki/GeoGuessrMCP

Made for: Claude Code.

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README.md

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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Per session 2,646 This file is loaded in full into every session.

When invoked 2,646 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.02646	$0.02646
Opus 5	$0.01323	$0.01323
Sonnet 5	$0.00529	$0.00529
Haiku 4.5	$0.00265	$0.00265

Measured 10d ago against content hash 0ddf3f87d506, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

GeoGuessrMCP CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 365 lines

How it starts

The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md - Development Guide for AI Assistants

This document provides context for AI assistants (like Claude) working on the GeoGuessr MCP Server project.

Project Overview

GeoGuessr MCP Server is a Model Context Protocol (MCP) server that provides Claude with tools to analyze GeoGuessr game statistics. The server features automatic API monitoring and dynamic schema adaptation to handle API changes gracefully.

Key Architecture Components

geoguessr-mcp/
├── src/geoguessr_mcp/
│   ├── api/              # GeoGuessr API client and response handling
│   ├── auth/             # GeoGuessr authentication management
│   ├── middleware/       # MCP server authentication middleware
│   ├── models/           # Data models (Profile, Stats, Games, etc.)
│   ├── monitoring/       # Dynamic schema detection and API monitoring
│   │   ├── endpoint/     # Endpoint monitoring logic
│   │   └── schema/       # Schema detection and registry
│   ├── services/         # Business logic services
│   ├── tools/            # MCP tool definitions
│   ├── config.py         # Configuration and settings
│   └── main.py           # Application entry point
├── scripts/              # Deployment scripts
│   └── deploy.sh         # Automated production deployment
├── tests/                # Unit and integration tests
├── Dockerfile            # Container definition
├── docker-compose.yml    # Development deployment
└── docker-compose.prod.yml # Production deployment with nginx

Core Concepts

1. Dynamic Schema System

The server automatically adapts to GeoGuessr API changes:

Schema Detection: Analyzes API responses to detect field types, structure, and nesting
Change Detection: Uses hash-based comparison to identify schema modifications
Persistence: Caches schemas to disk for survival across restarts
Monitoring: Runs periodic checks (every 24 hours by default) on all known endpoints

Key Files:

src/geoguessr_mcp/monitoring/schema/schema_detector.py - Analyzes response structure
src/geoguessr_mcp/monitoring/schema/schema_registry.py - Manages schema storage
src/geoguessr_mcp/monitoring/endpoint/endpoint_monitor.py - Periodic monitoring

Read the full file on GitHub · 365 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

10d ago First seen · 365 lines · 2,646 tokens per session scan A 0ddf3f87d506

Subscribe to this mod's changes

GeoGuessrMCP CLAUDE.md is an instructions file published in the GitHub repository NyxiumYuuki/GeoGuessrMCP (2 stars, last pushed 9mo ago), licensed MIT. It adds 2,646 tokens to every session, about $0.0132 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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GeoGuessrMCP: Instructions file for Claude Code