justin
0e625553e5
CORPUS — 4,299 GH plot reports added (3,797 written + 502 from the
earlier slow run + 319 sitemap-listed URLs that 404'd as
discontinued). Combined with prior 760 varieties + 14 AgriPro
trials = 5,073 total chunks now indexed.
scrape/sources/gh_plot_reports.py — concurrency speedup:
- 4 worker threads (ThreadPoolExecutor), each with its own
requests.Session for connection-pool efficiency.
- Shared class-level rate limiter (0.25 sec between ANY two
requests across all threads). Net throughput ~4 req/sec —
well below any rate-limit threshold a public site enforces.
- Diagnosis vs original 1 req/sec: GH had ZERO rate limiting,
zero 429s, zero retries. The 1 sec self-throttle was just too
conservative. Bench:
1 worker / 1.0 sec throttle: ~0.4 plots/sec (190 min ETA)
4 workers / 0.25 sec throttle: ~3 plots/sec (~25 min actual)
rag/chunk.py — chunk size cap for nomic-embed-text's 2048-token
context window:
- Empirically tested: failure threshold is ~5,250 chars on
numeric-heavy trial chunks (chars/token ratio 2.4 vs 3.5 for
prose). Cap at 4,500 chars to be safely under at worst-case
2.2 chars/token.
- Applied to BOTH variety and trial chunks. Marked truncated
chunks with metadata.embed_truncated = True; FULL text stays
in the on-disk .md for get_page to return verbatim.
.gitea/workflows/{refresh,image-only}.yml — OLLAMA_URL pool
restructured for the 4 GPU-pinned endpoints. Bench (50-chunk
batches on nomic-embed-text):
.0.125:11434 (RTX 40-series) 242 embeds/sec ← weight ×4
.0.2:11436 (GPU-pinned) 108 embeds/sec ← weight ×2
.0.2:11435 (GPU-pinned) 72 embeds/sec ← weight ×1
localhost (TITAN X) 37 embeds/sec ← weight ×1
Weighting is done by listing the URL multiple times in
OLLAMA_URL since the embedder uses round-robin. .0.2:11434 is
explicitly EXCLUDED — it isn't pinned to a specific GPU.
Combined index rebuild for 5,073 chunks now finishes in ~3 min
(was 19+ on the single-endpoint pool).
Smoke tests:
✓ list_versions: 5,073 docs across 6 sources, 2 vendors, 6
brands, 4 crops (corn 2711, soy 2016, silage 223, wheat 123).
✓ search_trials({crop=corn, state=IA, year=2024}): 3 IA 2024
corn trials surfaced.
✓ search_trials("Phytophthora resistance soybean trial"): NK
NK43-W1XFS top-1 in LA 2024 trial (cross-vendor result).
✓ search_trials("AP Iliad Idaho wheat"): AgriPro Washington/N
Idaho 2025 trial surfaced.
✓ search_trials(product=DKC65-95): 3 corn trials containing
that hybrid in IL/IA 2024.
✓ search_trials(product=NK1701): 3 corn trials in AR/MS 2024.
✓ Product filter correctly returns EMPTY for products that
aren't in the corpus (DKC65-20 is a 2023 product; 2023 plots
deferred). Anti-hallucination contract preserved.
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)