mcp-geo: Instructions file for Codex

AGENTS.md

mcp-geo AGENTS.md is an instructions file for Codex, OpenCode from chris-page-gov/mcp-geo. It costs 1,571 tokens per session, scanned A, original, MIT.

A repository guide for mcp-geo, a Python server that provides tools for UK geographic data, mapping, property, and related public datasets. It documents the project structure, startup context, build commands, and coding standards.

In plain words
What is it for?
Use it when working on mcp-geo, especially its FastAPI server, JSON-RPC adapter, tool modules, resources, tests, or local validation scripts.
Why use it?
It gives coding agents the project-specific information they need before changing the repository. This helps them use the right entry points, folders, checks, and supporting documents.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is chris-page-gov/mcp-geo's own configuration. It tells Codex and OpenCode how to work on mcp-geo itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mcp-geo configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/chris-page-gov/mcp-geo/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/chris-page-gov/mcp-geo

Made for: Codex, OpenCode.

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Per session 1,571 This file is loaded in full into every session.
When invoked 1,571 The same file — it is already loaded in full.
Security scan A 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01571 $0.01571
Opus 5 $0.00785 $0.00785
Sonnet 5 $0.00314 $0.00314
Haiku 4.5 $0.00157 $0.00157

Measured 9d ago against content hash f6648f73ea9d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

mcp-geo AGENTS.md scanned grade A with 1 finding 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 9d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

`requests.get`.
AGENTS.md · 168 lines

How it starts

The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MCP Geo Repository Guidelines

This file is the always-read agent guide for mcp-geo. Keep it compact. Detailed operational history lives under docs/agent_context/.

Current Tech & Scope

  • FastAPI-based MCP server for UK geospatial, Ordnance Survey, ONS/NOMIS, property, mapping, and LandIS tooling.
  • Python >=3.11 runtime.
  • Main entrypoints: server/main.py for HTTP and server/stdio_adapter.py for JSON-RPC STDIO.
  • Tool modules live in tools/; static resources live in resources/; tests live in tests/.

Required Startup Context

  • Read CONTEXT.md at the start of each session.
  • Use PROGRESS.MD for active workstream status only.
  • Use docs/agent_context/ for historical context and operational playbooks:
    • README.md
    • geography-extension-contract.md
    • agent-operations.md
    • historical-workstreams.md
  • Treat docs/vendor/openai/ as deprecated fallback. Prefer current OpenAI developer docs via the shared documentation MCP server when available.

Build & Run

Local manual run:

pip install -e .[test]
uvicorn server.main:app --reload

Preferred local validation wrappers:

./scripts/ruff-local
./scripts/mypy-local
./scripts/pytest-local -q
./scripts/validate-owasp-mcp-local

The wrappers prefer the running devcontainer, then .venv, then uv run.

Timeout guidance:

  • Full pytest: 15 minutes.
  • Containerized map trials: 5 minutes.
  • Full Playwright suites: 5 minutes.
  • Unknown long command: start at 5 minutes and extend from evidence.

Coding Standards

  • 4-space indent, LF, max line length 100.
  • Use type hints on maintained runtime surfaces.
  • Error model: { "isError": true, "code": str, "message": str, "correlationId"?: str }.
  • Use nextPageToken for pagination.
  • Logging via loguru; mask secrets through shared redaction helpers.
  • Dynamic tool registration depends on explicit imports in server/mcp/tools.py.
  • OS-backed tools return 501 with {code:"NO_API_KEY"} when OS_API_KEY is unset.
  • Do not add dependencies without updating pyproject.toml and documenting why.

Read the full file on GitHub · 168 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.

  1. 9d ago First seen · 168 lines · 1,571 tokens per session scan A f6648f73ea9d

Subscribe to this mod's changes

mcp-geo AGENTS.md is an instructions file published in the GitHub repository chris-page-gov/mcp-geo (3 stars, last pushed 1mo ago), licensed MIT. It adds 1,571 tokens to every session, about $0.0079 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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