Dog Geroscience
Dog-specific aging tools: HAGR dog rows, dog orthologs, dose translation, DAP codebooks, FDA FOI.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
dog-geroscience-mcpclaude mcp add dog-geroscience -e 'DOG_GERO_DATA=<DOG_GERO_DATA>' -e 'DOG_GERO_DB_URL=<DOG_GERO_DB_URL>' -- uvx dog-geroscience-mcp==0.1.1
{
"mcpServers": {
"dog-geroscience": {
"command": "uvx",
"args": [
"dog-geroscience-mcp==0.1.1"
],
"env": {
"DOG_GERO_DATA": "<DOG_GERO_DATA>",
"DOG_GERO_DB_URL": "<DOG_GERO_DB_URL>"
}
}
}
}
Environment variables
DOG_GERO_DATADirectory for the prebuilt SQLite database (about 90 MB, downloaded from the Hugging Face Hub on first run). Default: a per-user cache directory.DOG_GERO_DB_URLAlternative download URL for the prebuilt database (a mirror, or a build of your own).
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
k9 — AI tooling for canine longevity research
Research brief: canine-longevity-ai-opportunities.md (landscape, ranked opportunities, and the Phase 1 plan in Section 7).
Phase 1 components:
| Directory | What | Status |
|---|---|---|
| corpus/ | canine-aging-corpus: reproducible Europe PMC corpus of the canine aging literature (records, JATS→Markdown full text from Europe PMC or NCBI, manifest, version file). | Complete: 3,565 records (2,185 core); full text for 1,140 of 1,347 PMCIDs (the other 207 are publisher-restricted from XML distribution). |
| mcp/ | dog-geroscience-mcp: MCP server with 18 dog-specific aging tools (AnAge/DrugAge/GenAge dog rows, dog orthologs via Ensembl with caching, FDA Km dose translation, Dog Aging Project codebooks across 9 releases, NIH RePORTER, BM25 corpus search with full-text retrieval, FOI summaries and structured records, the canine trial registry, intervention dossier). | Complete: 30 offline tests, smoke-tested against live Ensembl/RePORTER and over stdio; DB built from the finished corpus, FOI and trial-registry layers. |
| questions/ | canine-geroscience-questions: 133 questions across 10 categories, each with a gold answer and a verbatim quote from a corpus record, enforced by a validator; plus a BM25 retrieval baseline. | v0.1: drafted, validator-clean, then reviewed item-by-item by an independent LLM pass (9 fixes, 1 drop); recall@5 = 0.985. No domain-expert review yet. |
Phase 2 components:
| Directory | What | Status |
|---|---|---|
| foi/ | foi-summaries: FDA CVM Freedom of Information summaries as a public-domain dataset (index of 1,726 summaries, 497 dog-product PDFs, text, parsed sections and General Information fields, species flags) plus a typed, quote-validated extraction of all 497 summaries (1,026 PK values, 193 safety studies, 414 effectiveness studies, 918 adverse-reaction rows). | Complete: 497 records, 97% with parsed sections; structured layer covers all 497 (4,510 quotes, 0 errors, 79 explained warnings). |
mcp/ (extended) | intervention_dossier (synonym-aware, species-filtered), foi_summary_search, foi_summary_get, foi_structured_search, canine_trial_search, the dossier_briefing prompt; scripts/dossier_eval.py coverage table over ITP compounds. | Complete; 30 tests. |
| trials/ | canine-trials: registry of interventional studies and cohorts on aging in dogs (lifespan, healthspan, cognition, mobility, immunosenescence, cancer prevention; lifetime cohorts; company programs such as STAY/LOY-002), one typed record per study with every field backed by a verbatim quote, and a validator (ct validate) that checks the quotes against the corpus, Europe PMC abstracts and page snapshots. Served as canine_trial_search, as site pages (/trials/) and as a Hub dataset. | v0 (2026-10-01): drafted from corpus abstracts by model-assisted extraction plus hand-written company records; validator-clean; no domain-expert review yet. |
| docs/ | Static evidence site generated from the database by mcp/scripts/build_site.py: one page per NIA ITP compound and veterinary comparator (DrugAge rows, dog-equivalent doses, canine literature, FDA FOI summaries, gaps) and one per FOI ingredient (dose regimen, PK, target-animal safety, effectiveness, adverse reactions, each with its verbatim quote), plus llms.txt and a sitemap. No model-written text. | Live at https://w0lph.github.io/k9/ (219 pages); rebuild with cd mcp && uv run python scripts/build_site.py. |
.\rebuild.ps1 regenerates everything in dependency order (-Fresh re-fetches sources);
scripts/refresh.sh is the same from a clean checkout and is what the monthly GitHub Actions
workflow runs to republish the datasets, the database and the site.
PUBLISHING.md is the step-by-step for the Hugging Face Hub (dataset cards and
staging script in publish/), PyPI and the MCP registry (mcp/server.json), and Glama
(glama.json, root Dockerfile). The server installs with
uvx dog-geroscience-mcp (PyPI), as a Claude Desktop extension (.mcpb on the releases page),
or as a Claude Code plugin with a routing skill (/plugin marketplace add w0lph/k9, then
/plugin install dog-geroscience@k9; sources in plugins/), and downloads its database on
first run. Each directory is its own
uv project:
cd corpus && uv sync --extra dev && uv run pytest -q
cd mcp && uv sync && uv run dog-geroscience-mcp build && uv run pytest -q
cd questions && uv sync && uv run pytest -q && uv run cgq validate data/canine_geroscience_v0.jsonl --require-ids
cd foi && uv sync && uv run foi run && uv run pytest -q
cd mcp && uv run dog-geroscience-mcp build --skip-download # picks up ../foi/data/foi_summaries_dog.jsonl
Large derived data (corpus/data, mcp/data, FOI PDFs and text) is git-ignored; it is
rebuilt by the pipelines and published as Hugging Face datasets (publish/).
Frequently asked questions
What is Dog Geroscience?
Dog-specific aging tools: HAGR dog rows, dog orthologs, dose translation, DAP codebooks, FDA FOI.
How do I install Dog Geroscience?
It runs on your machine. In Claude Code: claude mcp add dog-geroscience -e 'DOG_GERO_DATA=<DOG_GERO_DATA>' -e 'DOG_GERO_DB_URL=<DOG_GERO_DB_URL>' -- uvx dog-geroscience-mcp==0.1.1. For other clients, paste the JSON configuration from this page into their MCP settings.
Does Dog Geroscience need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is Dog Geroscience open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Dog Geroscience?
It is published by w0lph. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.