Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
CropGraph MCP. Crops, companions, pests, rotation, soil, GDD, pest intelligence.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"cropgraph": {
"command": "npx",
"args": [
"-y",
"@cropgraph/mcp"
]
}
}
}Run this in your terminal
claude mcp add cropgraph -- npx -y @cropgraph/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"cropgraph": {
"command": "npx",
"args": [
"-y",
"@cropgraph/mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"cropgraph": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cropgraph/mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account Cropgraph, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (3.2.0) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Dechonet MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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Commercial agricultural intelligence. Curated data, MCP server, and CLI for crop calendars, companion planting, crop rotation, succession planting, pest and disease management, USDA hardiness zones, and climate classification.
| Package | What |
|---|---|
@cropgraph/core | Crop calendar (5,006 entries across 14 categories), 1,004 companion relationships, rotation families, succession chains, pest/disease associations, 200 beneficial insects across 5 categories with composite pest intelligence, 120 growing degree day models, USDA zones, climate types. Pure TypeScript, offline. |
@cropgraph/mcp | Model Context Protocol server (stdio). Eighteen garden-planning tools for AI agents. |
cropgraph | Command-line interface. Subcommands for zones, planting, crop lookup, companions, rotation, succession, pests, pest-detail, pest-intel, beneficials. |
npx @cropgraph/mcp
See packages/mcp/README.md for client config.
npx cropgraph zone --lat 48.118 --lng -123.43
npx cropgraph companions tomato npx cropgraph planting --zone 8b --climate maritime npx cropgraph succession lettuce --zone 8b --climate maritime npx cropgraph pests tomato npx cropgraph pest-intel tomato-hornworm --plant tomato npx cropgraph beneficial seven-spotted-ladybug
npm install @cropgraph/core
import {
getHardinessZone, getCompanions, getPlantingPlan, getSuccessionPlan, } from "@cropgraph/core";
getHardinessZone(48.118, -123.43); // "8b" getCompanions("tomato"); // 18 entries getPlantingPlan({ zone: "8b", climateType: "maritime" }); getSuccessionPlan({ slug: "lettuce-leaf", zone, climateType: "maritime" });
| Asset | Count | Notes |
|---|---|---|
| Crop calendar | 5,006 entries | 14 categories (vegetable, herb, fruit, flower, cover-crop, root, legume, grain, mushroom, native, medicinal, fiber, forage, sprout). Frost-anchored windows; 120 entries carry climate modifiers across 6 climate types |
| Companion relationships | 1,004 | 510 beneficial, 95 antagonist, 12 mechanism categories |
| Growing degree days | 120 models | Cultivar-specific GDD ranges, base temperatures, NOAA Climate Normals harvest prediction |
| Rotation families | 12 | Nightshades, brassicas, cucurbits, alliums, legumes, umbellifers, grasses, amaranthaceae, composites, mints, malvaceae, miscellaneous. Every calendar slug mapped. |
| Succession chains | 33 | Greens, roots, legumes, brassicas, cucurbits, herbs, flowers, cover crops. Frost-anchored phases with per-climate notes. |
| Pest/disease associations | 506 | Crop-to-pest edges with diagnostic symptoms, organic management, prevention, and regions. OMRI-listed management only. |
| Beneficial insects | 200 entries | Predators (62), parasitoids (40), pollinators (50), decomposers (29), microbial controls (22). Prey and attractant cross-references; composite "now what?" intelligence layer with hand-authored notes for the top 40 pest slugs. |
| USDA hardiness zones | 40,283 ZIPs | PRISM 2023 + waldoj/frostline centroids, offline lookup |
| Climate classifier | 6 types | Maritime, mediterranean, continental, humid subtropical, arid, semi-arid |
Sources cited per-entry in the JSON fixtures under packages/core/src/data.
MIT. Copyright (c) 2026 Andrew Christison.