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Dog Geroscience

Registre officiel Autres

Dog-specific aging tools: HAGR dog rows, dog orthologs, dose translation, DAP codebooks, FDA FOI.

Code source Site web Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

PYPI package dog-geroscience-mcp
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
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "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>"
            }
        }
    }
}

Variables d'environnement

  • DOG_GERO_DATA Directory 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_URL Alternative download URL for the prebuilt database (a mirror, or a build of your own).

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent 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:

DirectoryWhatStatus
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:

DirectoryWhatStatus
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/).

Questions fréquentes

Qu'est-ce que Dog Geroscience ?

Dog-specific aging tools: HAGR dog rows, dog orthologs, dose translation, DAP codebooks, FDA FOI.

Comment installer Dog Geroscience ?

Il s'exécute sur votre machine. Dans 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. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour Dog Geroscience ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

Dog Geroscience est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Dog Geroscience ?

Il est publié par w0lph. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.