What is GedcomMCP GEMINI.md?

Instructions for GedcomMCP, an AI server that reads and manages GEDCOM genealogy files. GEDCOM is a file format for recording people, families, events, places, and relationships.

Use it to query or edit genealogical records, find relationships, create family trees and timelines, enrich information, and detect duplicates.

It explains how to build and run a project that lets an assistant work with family-history data instead of handling GEDCOM files manually.

GedcomMCP GEMINI.md — Instructions file for Gemini CLI by airy10: Instructions for GedcomMCP, an AI server that reads and…

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add instructions/airy10/gedcommcp/gemini-md

Clone the repo

git clone --depth 1 https://github.com/airy10/GedcomMCP

Made for: Gemini CLI.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/airy10/gedcommcp/gemini-md.svg)](https://agentmods.dev/instructions/airy10/gedcommcp/gemini-md)

Your own site

<a href="https://agentmods.dev/instructions/airy10/gedcommcp/gemini-md"><img src="https://agentmods.dev/badge/instructions/airy10/gedcommcp/gemini-md.svg" alt="Measured on agentmods" height="20"></a>

Per session 774 This file is loaded in full into every session.

When invoked 774 The same file — it is already loaded in full.

Security scan A 0 findings. Scan, not verified.

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	$0.00774	$0.00774
Opus 5	$0.00387	$0.00387
Sonnet 5	$0.00155	$0.00155
Haiku 4.5	$0.00077	$0.00077

Measured 5d ago against content hash f7f37b0a71b0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

GedcomMCP 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 5d 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.

GEMINI.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GEDCOM MCP Project Overview

This project, "GedcomMCP," is an AI-driven server designed for creating, editing, and querying genealogical data from GEDCOM files. It aims to provide a robust platform for AI agents to interact with and manage genealogical information, enabling complex queries, data enrichment from external sources like Wikipedia, and the generation of detailed biographies and family trees. It's an experimental project focusing on leveraging AI for genealogical tasks.

Key Features:

Load and parse GEDCOM files.
Add/edit people, families, events, and places.
Query people, families, events, and places.
Find relationships between individuals.
Generate family trees and timelines.
Search across all genealogical data.
Get detailed person and family information.
Analyze genealogical data with statistics and duplicates detection.

Technologies:

The project is primarily written in Python, utilizing pytest for testing. It functions as an MCP (Multi-Agent Communication Protocol) server.

Building and Running

Installation:

Clone the repository:

git clone https://github.com/airy10/GedcomMCP.git
cd GedcomMCP

Install dependencies:
```
pip install -r requirements.txt
```

Usage:

To start the server:

With default HTTP transport:

python src/gedcom_mcp/fastmcp_server.py

With stdio transport:

python src/gedcom_mcp/fastmcp_server.py --transport stdio

Specify host/port for HTTP transport:

python src/gedcom_mcp/fastmcp_server.py --host 0.0.0.0 --port 8080

Development Conventions

Project Structure:

src/gedcom_mcp/: Contains the main source code, including fastmcp_server.py (main server application) and various gedcom_*.py modules for handling GEDCOM data.
tests/: Houses unit tests for the project.
prompts/: Contains prompt templates for various AI tasks.
requirements.txt: Lists project dependencies.
pyproject.toml: Build configuration.

Read the full file on GitHub · 98 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.

5d ago First seen · 98 lines · 774 tokens per session scan A f7f37b0a71b0

Subscribe to this mod's changes

GedcomMCP GEMINI.md is an instructions file published in the GitHub repository airy10/GedcomMCP (14 stars, last pushed 1mo ago), licensed MIT. It adds 774 tokens to every session, about $0.0039 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 2026-08-30.

Building agents

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

GedcomMCP GEMINI.md