plant-intel

An MCP server that gives coding agents structured plant data for garden planning: species care profiles, companion checks that explain themselves, and frost-date planting windows derived from ten years of observed weather.

companion_check("tomato", "potato")
  -> bad: both are Solanaceae. Same-family crops share soilborne diseases and
     compete for the same rotation slot, so plant them apart and rotate the bed.

Why an MCP server for this

A model asked about garden planning will happily produce plausible spacing numbers and companion-planting advice. Most of it is folklore, and none of it is traceable. Three things make this worth a server rather than a prompt:

1. The data is real and cited. Every record says where it came from and under what licence.

2. The gaps are visible. When an upstream tier withholds a field, the response says so. When no source publishes a number, it stays null with an explanation instead of being filled in.

3. Verdicts carry mechanisms. companion_check never says "these are good together" because a gardening blog said so. It says why, from evidence in the care data, and admits when it has no evidence at all.

Related MCP server: nasa-exoplanet-mcp

Tools

Every tool returns compact JSON. No HTML, no page dumps.

companion_check returns mechanisms, not folklore

No API in this server's source roster publishes plant antagonists — Permapeople lists "companion to" links only — so a good/bad/neutral answer cannot simply be looked up. Rather than restate garden lore, the negative case is derived from evidence already in the care data:

A risk mechanism outranks a positive listing, but every matched reason is returned, including the overridden one, so a mixed pair stays legible. A neutral verdict states plainly that it is an absence of evidence, not evidence of compatibility.

planting_window will not guess crop timing

Give it coordinates and it derives, from ten whole years of Open-Meteo daily minima, the median last spring frost, first autumn frost, season length, and the site's USDA zone — then checks that against the plant's published hardiness range. Verified against published normals:

What it will not do is invent the crop half. No source in this roster publishes days-to-maturity or a frost-hardiness class, so transplant and sow-by dates appear only when you supply days_to_maturity and frost_tolerance yourself. That division is deliberate: this server owns the climate half, and the caller owns the crop half.

Southern-hemisphere sites are read on their own growing season. Grouping by calendar year splits a southern summer in two and reports a frost-free window of roughly one day.

Install

Requires Node 20 or newer and a free Perenual API key.

npm install -g plant-intel-mcp

Or run it straight from the repo:

git clone https://github.com/wyattlindsey/plant-intel-mcp.git && cd plant-intel-mcp && npm install && npm run build

Claude Code

claude mcp add plant-intel --env PERENUAL_API_KEY=your-key -- npx -y plant-intel-mcp

Claude Desktop

In claude_desktop_config.json:

{
  "mcpServers": {
    "plant-intel": {
      "command": "npx",
      "args": ["-y", "plant-intel-mcp"],
      "env": {
        "PERENUAL_API_KEY": "your-key"
      }
    }
  }
}

Configuration

Missing the Perenual key does not stop the server. The tools stay listed and each call answers with the variable to set and where to get a key.

Sources, and their limits

Stated plainly, because these constraints shape what the server can honestly answer.

Because of the 100/day ceiling, the server caches aggressively (30 days for species data, 90 for weather archives) and guards a daily budget, refusing to spend a request it does not have and naming the reset time when it declines. Cache hits are never charged against it.

plant_details never returns spacing. No source here publishes it, and a null with a note is more useful than a number nobody stands behind.

Development

npm test          # unit and protocol tests, no network
npm run typecheck
npm run build
npm run test:live # opt-in; hits real APIs and spends quota

The live suite exists for drift detection. Fixtures were built from published documentation, so it asserts that every field the mapper reads is still present upstream. Its Open-Meteo tests need no credential and run anywhere.

See CLAUDE.md for architecture and conventions.

Licence

MIT. See LICENSE.

Data retrieved through this server remains under its own source's terms — see the table above. In particular, Perenual's free tier is non-commercial, and Permapeople's data is share-alike.