OpenFarm Agriculture MCP for AI. Access crowdsourced plant data, from search results to growing guides.

Q: How do I start with OpenFarm Agriculture and find a plant ID?

Start by calling searchcrops with the common name of the plant (e.g., 'corn'). The output will provide the necessary scientific name and, more importantly, the unique ID you need for other tools.

Q: What if I want a guide for a crop but don't know the ID?

First, use listgrowingguides. You can filter this search by the crop name to narrow down available guides before attempting to retrieve details.

Q: Can I compare multiple crops using OpenFarm Agriculture MCP Server?

Yes. Use searchcrops for all your plants, gather their IDs, and then run getcropdetails sequentially for each one to build a comparison matrix.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Connect to your AI in seconds.

OpenFarm Agriculture connects your AI agent to a massive database of farming and gardening data. You can search for crops by name, get detailed technical specs (like optimal spacing or sun needs), list available growing guides, and pull specific instructions from a guide ID.

It's pure, crowdsourced plant knowledge.

What your AI can do

Get species details

Critical for precision agriculture and biodiversity assessments.

Get detailed taxonomic and growing data for a specific species

List species

Each species includes taxonomic classification, growth form, and habitat data. Use without a query to browse, or with a query to search.

Search for plant species, optionally filtered by name

Search crops

Looks up plants in the database using a common name to get their IDs and basic descriptions.

+ 1 more capabilities included

Search for Crops

Find plants in the database by name to retrieve scientific IDs and basic descriptions.

Retrieve Crop Details

Get detailed technical data—like sun needs, sowing methods, and spacing—for a specific crop ID.

List Available Guides

Search the database for growing guides, filtering results by a particular crop name.

Get Guide Instructions

Fetch detailed, step-by-step care and planting instructions using an exact guide ID.

Ask an AI about this

Included with Plan

Waiting for input…

AI Agent

OpenFarm Agriculture MCP Server: 4 Tools for Botany & Gardening

Use these four tools to systematically search, identify, and pull structured agricultural data on crops and growing techniques from the OpenFarm database.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using OpenFarm Agriculture on Vinkius

Get Species Details

Critical for precision agriculture and biodiversity assessments. Get detailed taxonomic and growing data for a specific species

List Species

Each species includes taxonomic classification, growth form, and habitat data. Use...

Search Crops

Looks up plants in the database using a common name to get their IDs and basic...

Get Crop Details

Retrieves technical data, including sun requirements and sowing methods, using a...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The OpenFarm Agriculture integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "openfarm-agriculture": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the OpenFarm Agriculture tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"openfarm-agriculture": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on every call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with OpenFarm Agriculture, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,100+ others, all in one place
Add new capabilities to your AI anytime you want
Every connection is secured and compliant automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog every week

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by OpenFarm. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 4 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Finding reliable growing instructions shouldn't feel like a deep dive into Wikipedia.

Right now, planning a garden involves jumping between government extension sites, forum threads, and PDF manuals. You copy-paste requirements for spacing from one site, then cross-reference sun needs on another. It’s slow, error-prone, and you lose context in the shuffle.

With this server, your agent handles the data aggregation. Instead of pasting links, you ask: 'What are the optimal specs for a bush tomato?' You get structured data—the spacing, the sowing depth, the sun needs—all pulled directly from `get_crop_details` into one clean output.

OpenFarm Agriculture MCP Server: Pulling guide details with `get_guide_details`

Before, to know how to grow something, you found a PDF. You had to manually read through sections labeled 'Planting,' 'Care Cycle,' and 'Harvest.' Everything was siloed, requiring multiple manual reviews.

Now, you ask your agent for the guide instructions using `get_guide_details`. It pulls the entire process—from prep work to harvest cycle—into one continuous text block. You just read it.

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What your AI can actually do with this

OpenFarm Agriculture connects your AI agent directly to a massive, open-source database covering thousands of plant species and gardening techniques. You get pure, crowdsourced knowledge that lets you skip the guesswork when planning a garden or running an agricultural project.

Need to know about a specific crop? Start by using search_crops to look up any plant by its common name. This function pulls back enough info—like scientific IDs and basic descriptions—so your agent knows exactly what it's working with. Once you have that ID, you can run get_crop_details. This tool retrieves the deep technical specs for a specific crop, giving you hard data like optimal sun requirements, ideal sowing methods, and recommended spacing measurements.

It’s pure mechanical info, perfect for planning layout or understanding environmental needs.

If you're trying to find out how to grow something, list_growing_guides is your go-to. You can search the entire database for available growth guides, even narrowing that search down by a specific crop name to cut through the noise. When you pinpoint the right guide, use get_guide_details. This function pulls in the complete, step-by-step care instructions—the whole deal.

It gives you detailed planting and maintenance advice using an exact guide ID. You'll get everything from initial soil prep to harvest tips.

This server isn't proprietary; it’s a giant knowledge pool built by gardeners everywhere. Your AI client uses these tools to give you the actionable data points you need: first, search_crops gives you the basic IDs and names for any plant you wanna track. Next, if you want hard science on that crop—like how much sun it needs or what spacing works best—you run get_crop_details.

Then, to find out how to actually grow it, you use list_growing_guides, which lets you scope the search down by a specific plant name. Finally, once you've got the right guide listed, get_guide_details pulls every single step into one place: planting instructions, care routines, and what to do when things go sideways.

You don't need guesswork; you just use these tools.

Built · Hosted · Managed by Vinkius OpenFarm Agriculture - Crop & Guide Data Retrieval MCP Server

Server ID 019d8467-0675-7028-b2be-cb71d77d1e26

Vinkius Inspector

Compliance Grade A+

Score 100/100

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Here's how it actually works

The bottom line is you treat it like a tiered lookup: search general data first, then drill down into specifics using IDs for precision.

Start by calling search_crops with the common name of a plant (e.g., 'tomato').

Use the returned crop ID to call get_crop_details for technical specs, or use the results to list guides via list_growing_guides.

Finally, pass a specific guide ID to get_guide_details to get the full set of instructions.

What Changes When You Connect

Stop guessing on planting conditions. Use get_crop_details to instantly pull technical specs like optimal spacing and required sun hours for any crop ID.

Build complex plans faster. You can run a sequence: search_crops -> list_growing_guides -> get_guide_details, all in one chat session.

Cut through the noise of forum advice. The data you get back from OpenFarm is structured, sourced, and reliable for serious farming or gardening projects.

No more manual lookups. When planning a garden, your agent handles the lookup process: finding the crop ID first, then pulling all necessary instructions.

Handles diverse needs. Whether you're checking basic care tips (search_crops) or running an intensive research query (get_crop_details), this server covers it.

See it in action

01 01

Planning a New Garden Bed

A user needs to plant tomatoes and peppers. They first call search_crops for both names. Then, they use the resulting IDs in get_crop_details to compare sun requirements and optimal spacing side-by-side before buying seeds.

02 02

Troubleshooting a Specific Plant

A gardener has an issue with zucchini growth. Instead of searching forums, they call search_crops for 'zucchini', get the ID, and then use that ID to run get_guide_details. The agent pulls the exact step-by-step instructions needed.

03 03

Creating a Plant Database Schema

A researcher needs a list of all possible guides for beans. They call list_growing_guides and filter by 'bean'. This returns guide IDs, which the agent can then pass to get_guide_details to structure a full database dump.

04 04

Comparing Cultivation Methods

A user wants to compare growing methods for two different crops. They use search_crops on both, get the IDs, and then run get_crop_details multiple times to gather all comparative technical data points.

The honest tradeoffs

Treating OpenFarm like a general search engine

Anti-pattern

Asking 'How do I grow tomatoes?' and expecting the agent to magically know which guide ID or crop ID to use. The server needs structured input.

The Fix

First, run search_crops for 'tomato' to get the proper ID. Then, pass that specific ID to get_crop_details or list_growing_guides so the agent knows exactly which data set to pull.

Skipping guide listing

Anti-pattern

Jumping straight to a guide without knowing if it exists. The user asks for 'The perfect guide' and gets an error because they didn't check first.

The Fix

Always start with list_growing_guides to confirm the guide is available, optionally filtering by crop name first.

Over-relying on descriptions

Anti-pattern

Reading a basic description from search_crops and thinking it contains spacing requirements. The search tool only gives names and basic text.

The Fix

For technical specs (spacing, sun), you must use the dedicated get_crop_details tool with the specific crop ID.

When It Fits, When It Doesn't

Use this server if your workflow requires structured, verifiable data about plants. If you need to compare spacing requirements across multiple crops, it's perfect—just run a sequence of search_crops followed by several calls to get_crop_details. Don't use it if you just want general advice or anecdotes (like 'my friend said'). For that, use a general chat model. If your goal is only to find the name of a plant and nothing else, search_crops works fine. But if you need actionable data—the kind you actually put into a spreadsheet—you'll need the ID-based tools: get_crop_details, list_growing_guides, or get_guide_details. Never skip getting the crop ID first; it’s key.

Questions you might have

How do I start with OpenFarm Agriculture and find a plant ID? +

Start by calling search_crops with the common name of the plant (e.g., 'corn'). The output will provide the necessary scientific name and, more importantly, the unique ID you need for other tools.

Do I need an API key to use get_crop_details? +

No. This server is designed for public data access, so you don't need to manage any API keys or credentials when calling get_crop_details.

What if I want a guide for a crop but don't know the ID? +

First, use list_growing_guides. You can filter this search by the crop name to narrow down available guides before attempting to retrieve details.

Can I compare multiple crops using OpenFarm Agriculture MCP Server? +

Yes. Use search_crops for all your plants, gather their IDs, and then run get_crop_details sequentially for each one to build a comparison matrix.

What happens if I use get_crop_details with an invalid or deprecated ID? +

The tool returns a specific error code and null data. You'll need to verify the crop ID against our documentation or try using the search_crops function first. This ensures you have the most current, active identifier for the plant.

How can I narrow down results when I use list_growing_guides? +

You filter guides by passing a crop ID as an optional parameter to the tool call. Instead of seeing every guide in the database, you get instructions specific to the plant you're interested in.

Are there rate limits when I run many searches with search_crops? +

Yes, there are usage quotas designed to prevent overloading the system. If you submit too many requests in a short time, your agent will receive an appropriate rate-limit error. We recommend pacing multiple calls.

Does OpenFarm Agriculture cover ornamental plants or just edible crops? +

The database includes both ornamental and edible species data. When you run search_crops, the results provide scientific names and general care instructions regardless of whether the plant is for cooking or purely decorative.

Is an API Key required for OpenFarm? +

No, this integration accesses the public OpenFarm API which does not require authentication for reading crop and guide data.

Connect to your AI in seconds.

Get species details

List species

Search crops

OpenFarm Agriculture MCP Server: 4 Tools for Botany & Gardening

Make your AI actually useful.

Get Species Details

List Species

Search Crops

Get Crop Details

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Finding reliable growing instructions shouldn't feel like a deep dive into Wikipedia.

OpenFarm Agriculture MCP Server: Pulling guide details with `get_guide_details`

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

Planning a New Garden Bed

Troubleshooting a Specific Plant

Creating a Plant Database Schema

Comparing Cultivation Methods

The honest tradeoffs

Treating OpenFarm like a general search engine

Skipping guide listing

Over-relying on descriptions

When It Fits, When It Doesn't

Questions you might have