How to Use the Farmonaut MCP in LlamaIndex

Index your Farmonaut satellite intelligence into LlamaIndex to query your farm history and crop data with natural language.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Farmonaut MCP to LlamaIndex

Create your Vinkius account to connect Farmonaut to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Farmonaut with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Vectorized farm data for LlamaIndex

Transform `get_crop_advisory` and weather reports into a searchable knowledge base. By indexing these outputs, you ask your agent about past soil conditions or harvest timing from months ago. This creates a persistent memory of your farm's performance. Instead of running fresh queries, the agent pulls from the indexed history to ground its current recommendations.

Grounded agricultural insights

Connect your LlamaIndex knowledge store to real-time `get_soil_moisture` and `get_ndvi` feeds. The agent retrieves the latest satellite numbers and compares them against your documented field history. This removes the guesswork from management. You get answers based on current spectral data rather than general agricultural assumptions, making your planning precise.

Unified field inventory indexing

Map all your `get_fields` data into your index to keep track of planting dates and crop types across multiple sites. The agent uses this inventory to filter its analysis to the correct plot. This keeps your data organized. When you query for status updates, the agent knows exactly which field boundary corresponds to the data you are requesting.

Setup guide

Set up Farmonaut MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Farmonaut MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Farmonaut tools.",
)
response = await agent.run("List recent Farmonaut data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Farmonaut. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Farmonaut now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Farmonaut MCP in LlamaIndex

The MCP tools return structured data that you can easily ingest into your vector store. You simply pipe the output of the server tools into your indexing pipeline.

If you save the tool outputs to your index, you can query them at any time. It allows for deep historical analysis of your crop cycles.

The server provides the most recent satellite and weather data available. You can refresh your index whenever you need the latest field assessment.

The data is stored within your private vector indices. We manage the server-side access to ensure only your authorized agents can call the Farmonaut tools.

We use scoped endpoint tokens to ensure your field coordinates and sensor readings remain isolated. Your proprietary agricultural data never leaves your environment during indexing.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript