justin
9ce920f622
agripro (24 varieties)
- Drupal Views form scrape via /search-agripro-brand-varieties with
explicit GET params (sidesteps the AJAX-only-on-load default that
returns an empty form skeleton).
- Per-variety parse: <h1>, .field--node--variety-type--variety,
.field--node--tag-line--variety, .field--node--body, plus the
three rated sections (Agronomics / Grain / Disease) with their
<div class="row"><div class="label">label</div><div>value</div>
pairs.
- Wheat-class distribution: 12 HRS, 7 SWW, 3 HRW, 1 HWS, 1 Barley
— provides the Northern Plains HRS coverage WestBred lacks.
nk (122 varieties — recon's "29" was outdated; the current NK seed
finder lists 41 corn + 81 soy)
- ASP.NET WebForms endpoint:
POST /NKSeeds/{Corn,Soy}ProductFinder.aspx/GetProducts returns
{"d": "<html>"} where the inner HTML is one <div class="sf-result">
per variety. BeautifulSoup tokenizes the whole blob.
- Per-card: product code (NK8005, NK008-P8XF), RM/MG from the
title <span>, "Brands Available" trait variants, marketing
positioning + bullet strengths, tech-sheet PDF URL.
- pdfplumber text extraction on the tech-sheet PDFs adds:
* corn disease ratings (Gray Leaf Spot, NCLB, Goss's Wilt,
Anthracnose, Tar Spot, Fusarium, etc.) where the PDF prints
"Label N" lines (text-extractable)
* soybean Phytophthora source genes (Rps1c, Rps3a, ...)
* soybean SCN race coverage
* soybean agronomic ratings (Emergence, Standability, Shatter
Tolerance, Green Stem) with text-extractable 1-9 values
* soybean soil-type adaptation (Best/Good/Fair/Poor) for drought
prone / high pH / poorly drained / etc.
- Agronomic rating BARS for corn (Emergence, Stalk Strength,
Drought) are not text-extractable; we record the labels with an
explicit "rated in PDF chart, see tech sheet" value so the agent
can direct the farmer at the source for those numbers.
Scale-direction correction in lessons.md:
- NK and AgriPro both use 1 = best, lower = more resistant — the
REVERSED convention vs Bayer / Golden Harvest. NK's tech-sheet
footer literally prints "1-9 Scale: 1 = Best, 9 = Worst".
AgriPro positioning on stripe-rust-resistant varieties (AP Iliad
with Stripe Rust 1, Eyespot 2) confirms the same direction.
- sources-not-yet-indexed section trimmed to just Beck's PFR +
Beck's products — everything else IS now in the corpus.
Cross-vendor coverage after this PR: 760 varieties.
bayer_seeds 475 (DEKALB 288 / Asgrow 102 / WestBred 85)
golden_harvest 139
nk 122 (41 corn / 81 soy)
agripro 24 (12 HRS / 7 SWW / 3 HRW / 1 HWS / 1 Barley)
Vendors: Bayer, Syngenta. Brands: 6. Crops: corn, soy, wheat (109
wheat now, up from 85).
requirements.txt: pdfplumber>=0.11 for NK tech-sheet parsing.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
seed-mcp
MCP server over the public catalogs of major US row-crop seed
vendors — corn, soybeans, wheat. Sibling project to
crop-chem-docs
(pesticide labels), feeding the same Drawbar farm-advisor AI.
The server exposes per-variety records with agronomic ratings, disease tolerance, trait stack, maturity, and regional notes — so the advisor can answer questions like "which corn hybrid for sandy soil, drought-prone, RM ≤105 in northeast Iowa?" without rummaging through individual brand sites.
Vendor coverage
| Vendor | Verdict | Varieties | Notes |
|---|---|---|---|
| Bayer seeds (DEKALB + Asgrow + WestBred) | 🟢 | ~475 | Same cropscience.bayer.us Next.js infra as crop-chem-docs |
| Golden Harvest (Syngenta) | 🟢 | ~175 | Sitemap + server-rendered HTML + Syngenta CDN PDFs |
| NK (Syngenta) | 🟢 | 29 | Shares PDF fetcher with Golden Harvest |
| AgriPro (Syngenta wheat) | 🟢 | 24 | Drupal Views, server-rendered |
| Beck's PFR | 🟡 | 2,089 | Public Sanity GROQ API (no auth) |
| Beck's products | 🟡 | 860 | Identity-only until SeedIQ XHR sniffed |
| Pioneer (Corteva) | 🔴 | — | ToS bans automation — curated fallback lesson instead |
Quick start
git clone https://git.jpaul.io/justin/seed-mcp.git
cd seed-mcp
python -m venv venv && source venv/bin/activate
pip install -r requirements.txt
# Run one scraper
python -m scrape.runner --source bayer_seeds --force
# Rebuild indexes
python -m rag.index --rebuild
# Local MCP server (stdio for Claude Desktop dev)
python -m docs_mcp.server --transport stdio
Tools exposed
| Tool | Purpose |
|---|---|
search_docs |
Hybrid + rerank variety search with crop / RM / trait / region filters |
get_page |
Full variety record by (source, source_key) |
list_versions |
Discover crops, brands, traits, RM/MG ranges, wheat classes |
corpus_status |
Counts + freshness; useful for health probes |
crop_seed_api_lessons |
Curated agronomy lessons — Pioneer fallback, disease-scale normalization, regional placement heuristics |
Build phases
This is a clone of docs-mcp-template.
The 13 phases in PLAN.md apply:
| Phase | Status |
|---|---|
| 0 — scaffold | done |
| 1 — first scraper (bayer_seeds) | next |
| 2 — chunk + index | pending |
| 3 — baseline MCP tools | template defaults |
| 4-5 — Dockerfile + CI | done (placeholders filled) |
| 6 — reranker | shares llama-rerank sidecar with crop-chem-docs |
| 7 — eval harness | pending (curate ~25 queries) |
| 8 — hybrid search | done (template) |
| 9 — diff_versions, list_cluster | optional |
11 — crop_seed_api_lessons curated layer |
pending |
See CLAUDE.md for the canonical sidecar schema and the
disease-scale-normalization gotcha (Golden Harvest is reversed).
Infrastructure
- Registry:
git.jpaul.io/justin/seed-mcp:latest(Watchtower) /:corpus-YYYY.MM.DD(production pin) - Embedder: shared Ollama pool with crop-chem-docs (Gitea-host GPUs + Windows Ollama; CI never hits trashpanda's production Ollama)
- Reranker: shared
llama-reranksidecar on trashpanda's Tesla P4 (one container, both MCPs use it) - PRODUCT_NAME:
crop_seed(notseed_mcp— used in Chroma collection, BM25 db filename, andcrop_seed_api_lessonstool)