pulsemcp Safe content atomic mcp-remote

GEDCOM Ancestry Files

This Ancestry MCP server, developed by reeeeemo, enables AI assistants to interact with GEDCOM (.ged) genealogy files. It provides tools for listing, renaming, and searching genealogical data within specified directories. Built in Python, the implementation exposes GEDCOM parsing and manipulation functionality via a standardized MCP interface. By bridging AI models with genealogical records, this server facilitates tasks like family tree analysis, ancestor searching, and historical data extraction from GEDCOM files. It is particularly useful for AI assistants supporting genealogical research, family history projects, and ancestry-related information retrieval from GEDCOM datasets.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: productivity
Source: PulseMCP
Repository: github.com/reeeeemo/ancestry-mcp
Author type: human
Updated: 2026-04-29

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MCP

Resolve GEDCOM Ancestry Files from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"