Ambee Soil MCP Server for Google ADK 5 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Ambee Soil as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="ambee_soil_agent",
instruction=(
"You help users interact with Ambee Soil "
"using 5 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Ambee Soil MCP Server
Connect your Ambee Soil API to any AI agent and take full control of real-time soil moisture tracking, temperature monitoring, historical trend analysis, and soil property assessment through natural conversation.
Google ADK natively supports Ambee Soil as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 5 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Real-Time Soil Data — Get current soil moisture and temperature for any global location
- Historical Trends — Analyze soil moisture and temperature patterns over past days, weeks, or months
- Radius Analysis — Retrieve soil data for multiple points within a specified radius for spatial analysis
- Soil Properties — Access detailed soil composition including texture, organic carbon, pH, and bulk density
- Grid Mapping — Generate structured gridded soil data for GIS integration and precision agriculture mapping
The Ambee Soil MCP Server exposes 5 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Ambee Soil to Google ADK via MCP
Follow these steps to integrate the Ambee Soil MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 5 tools from Ambee Soil via MCP
Why Use Google ADK with the Ambee Soil MCP Server
Google ADK provides unique advantages when paired with Ambee Soil through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Ambee Soil
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Ambee Soil tools with BigQuery, Vertex AI, and Cloud Functions
Ambee Soil + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Ambee Soil MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Ambee Soil and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Ambee Soil tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Ambee Soil regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Ambee Soil
Ambee Soil MCP Tools for Google ADK (5)
These 5 tools become available when you connect Ambee Soil to Google ADK via MCP:
get_grid_soil
Returns gridded data points suitable for creating soil condition maps, GIS analysis, and spatial interpolation. Essential for precision agriculture mapping, variable rate application planning, and geospatial soil analysis. AI agents should use this when users ask "generate a soil moisture grid for mapping", "get gridded soil data for my field", or need structured spatial soil data for GIS integration. Get soil data on a structured grid for spatial analysis and mapping
get_historical_soil
Essential for analyzing soil condition trends, seasonal patterns, drought assessment, and long-term irrigation planning. AI agents should reference this when users ask "show me soil moisture trends over the past 30 days", "what was the soil temperature last week", or need historical soil data for agricultural analysis. Get historical soil moisture and temperature data for trend analysis
get_latest_soil
Essential for irrigation planning, crop monitoring, soil health assessment, and precision agriculture. AI agents should use this when users ask "what is the soil moisture at my farm", "check current soil temperature", or need immediate soil condition data for agricultural decision making. Get real-time soil moisture and temperature for a specific location
get_soil_by_radius
Returns an array of soil readings across the area, enabling spatial analysis of soil conditions. Essential for regional soil assessment, field variability analysis, and precision agriculture zone mapping. AI agents should use this when users ask "show me soil conditions within 10km of my location", "get soil data for my entire farm area", or need spatial soil moisture distribution analysis. Get soil data for multiple points within a radius of a location
get_soil_properties
Essential for soil classification, crop suitability analysis, fertilizer planning, and long-term soil health monitoring. AI agents should reference this when users ask "what is the soil type and pH at my location", "show me soil organic carbon content", or need comprehensive soil property data for agricultural planning. Get detailed soil physical and chemical properties for a location
Example Prompts for Ambee Soil in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Ambee Soil immediately.
"What is the current soil moisture and temperature at my farm in Iowa (41.8780, -93.0977)?"
"Show me soil moisture trends over the last 60 days for my location."
"What are the soil properties at my vineyard location? I need to know the pH and organic carbon."
Troubleshooting Ambee Soil MCP Server with Google ADK
Common issues when connecting Ambee Soil to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAmbee Soil + Google ADK FAQ
Common questions about integrating Ambee Soil MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect Ambee Soil to Google ADK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.
