Borrowing it
Nothing to install: this file belongs to chris-page-gov/mcp-geo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/chris-page-gov/mcp-geo/main/GEMINI.mdgit clone --depth 1 https://github.com/chris-page-gov/mcp-geoWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/chris-page-gov/mcp-geo/gemini-md)<a href="https://agentmods.dev/instructions/chris-page-gov/mcp-geo/gemini-md"><img src="https://agentmods.dev/badge/instructions/chris-page-gov/mcp-geo/gemini-md/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/instructions/chris-page-gov/mcp-geo/gemini-md"><img src="https://agentmods.dev/badge/instructions/chris-page-gov/mcp-geo/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00846 | $0.00846 |
| Opus 5.5 | $0.00338 | $0.00338 |
| Sonnet 5.5 | $0.00169 | $0.00169 |
| Haiku 4.5 | $0.00085 | $0.00085 |
Grade A, and why
mcp-geo GEMINI.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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEMINI.md - MCP Geo Server Context
This document provides essential context and instructions for AI agents (like Gemini) interacting with the MCP Geo Server repository.
Project Overview
MCP Geo Server is a research-oriented Model Context Protocol (MCP) server designed to provide AI assistants with access to UK geospatial data (via Ordnance Survey) and statistical data (via Office of National Statistics and NOMIS). It enables tools for address lookups, administrative boundary analysis, demographic statistics, and map rendering.
Main Technologies
- Language: Python 3.11+
- Framework: FastAPI / Uvicorn (HTTP transport)
- Protocol: Model Context Protocol (MCP) - supports both STDIO and HTTP transports.
- Data Sources: Ordnance Survey (OS) APIs, ONS Open Geography, NOMIS.
- Database: PostGIS / pgRouting (for boundary and routing features).
- Frontend: Svelte + Vite (for the playground UI).
- DevOps: Docker, Devcontainers, GitHub Actions.
Architecture
server/: Core FastAPI application, routers, and MCP transport logic.server/mcp/: MCP-specific implementations (tools, resources, http transport).server/stdio_adapter.py: JSON-RPC 2.0 adapter for STDIO communication.
tools/: Individual Python modules implementing specific domain tools (e.g.,os_places,ons_data,admin_lookup).playground/: Svelte-based interactive UI for testing tools and exploring resources.scripts/: Utility scripts for running the server, trace proxies, and maintenance tasks.docs/: Extensive documentation covering specifications, research, and usage.
Building and Running
Prerequisites
- Python 3.11+
OS_API_KEY(required for OS tools)- Docker (optional, but recommended for PostGIS features)
Development Setup
# Install dependencies with test and dev extras
pip install -e .[test,dev]
# Set up environment variables
cp .env.example .env
# Edit .env and add your OS_API_KEY
Running the Server
- HTTP Transport (Default):
The server will be available atpython run.py # or uvicorn server.main:app --reloadhttp://localhost:8000.
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.
- 2mo ago First seen · 88 lines · 846 tokens per session scan A d36bb40f904f
mcp-geo GEMINI.md is an instructions file published in the GitHub repository chris-page-gov/mcp-geo (3 stars, last pushed 3d ago), licensed MIT. It adds 846 tokens to every session, about $0.0034 per session on Opus 5.5. 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.
mcp-geo GEMINI.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp-geo GEMINI.mdchris-page-gov/mcp-geo | Instructions file | 3 | 3d ago | MIT | A | 846 | Gemini CLI |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |