Taranis MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Taranis as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="taranis_agent",
tools=tools,
system_message=(
"You help users with Taranis. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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 Taranis MCP Server
Connect your Taranis AI Scouting API to any AI agent and take full control of AI-powered crop threat detection, ultra-high-resolution imagery analysis, field scouting recommendations, and precision agriculture decision-making through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Taranis tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Organizations — List all agricultural organizations and farms in your Taranis account
- Field Management — View all monitored fields with crop types, boundaries, and growth stages
- Flight History — Review all drone and aircraft flight missions with imagery acquisition dates
- Flight Imagery — Access ultra-high-resolution orthomosaics, DSMs, and NDVI maps from each flight
- All Detections — Get comprehensive AI-detected threats (weeds, diseases, pests, nutrients) in any field
- Threat Summary — View consolidated threat severity assessments and trend analysis per field
- Scouting Recommendations — Receive AI-powered action plans for targeted field scouting missions
- Multispectral Analysis — Access NDVI, NDRE, and GNDVI vegetation indices for vigor assessment
- Weed Detection — Identify specific weed species with coverage estimates and herbicide recommendations
- Disease Detection — Detect crop diseases with severity levels and fungicide treatment suggestions
- Nutrient Analysis — Identify nutrient deficiencies with variable rate fertilization recommendations
The Taranis MCP Server exposes 12 tools through the Vinkius. Connect it to AutoGen 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 Taranis to AutoGen via MCP
Follow these steps to integrate the Taranis MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 12 tools from Taranis automatically
Why Use AutoGen with the Taranis MCP Server
AutoGen provides unique advantages when paired with Taranis through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Taranis tools to solve complex tasks
Role-based architecture lets you assign Taranis tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Taranis tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Taranis tool responses in an isolated environment
Taranis + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Taranis MCP Server delivers measurable value.
Collaborative analysis: one agent queries Taranis while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Taranis, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Taranis data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Taranis responses in a sandboxed execution environment
Taranis MCP Tools for AutoGen (12)
These 12 tools become available when you connect Taranis to AutoGen via MCP:
get_detections
Returns detection locations (GPS coordinates), threat types (weeds, diseases, pests, nutrient deficiencies), severity levels, confidence scores, affected area estimates, and recommended actions. Detections are classified by AI models trained on millions of field images for sub-millimeter accuracy. Essential for early threat identification, targeted scouting, and precision treatment planning. AI agents should use this when users ask "show me all detections in my field", "what threats were detected in field X", or need comprehensive threat analysis before planning field operations. Optional threatType filters detections by specific threat category. Get all AI-detected crop threats (weeds, diseases, pests, nutrient deficiencies) in a field
get_disease_detections
Returns disease locations, pathogen identification where possible, severity levels (early, moderate, advanced), affected plant parts, and recommended fungicide treatments. Essential for early disease intervention, fungicide planning, and yield loss prevention. AI agents should reference this when users ask "what diseases are in my soybean field", "show disease progression over time", or need disease-specific analysis for crop protection decisions. Get crop disease detections and severity assessments for a field
get_field_details
Essential for understanding field context before analyzing detections, planning scouting missions, or generating management recommendations. AI agents should reference this when users ask "tell me about this field", "what crop is planted in field X", or need detailed field metadata for context-aware analysis. Get detailed information about a specific agricultural field
get_fields
Returns field names, IDs, boundaries (GeoJSON polygons), area in hectares/acres, crop type, planting dates, and monitoring status. Essential for farm management overview, field inventory, and selecting target fields for threat detection and scouting analysis. AI agents should use this when users ask "show me all fields in my organization", "list monitored fields", or need to identify available fields for detection or flight queries. Optional orgId filters fields by specific organization. List all agricultural fields monitored by Taranis for an organization
get_flight_imagery
Returns orthomosaic mosaics, digital surface models (DSM), digital terrain models (DTM), normalized difference vegetation index (NDVI) maps, and true-color RGB composites. Essential for visual crop assessment, change detection between flights, and downloading high-resolution imagery for GIS analysis. AI agents should reference this when users ask "show me the latest imagery from this flight", "get the NDVI map for flight X", or need specific imagery products for field analysis. Get ultra-high-resolution imagery products from a specific flight mission
get_flights
Returns flight dates, times, aircraft type, imagery resolution, weather conditions during flight, coverage percentage, and processing status. Essential for understanding imagery acquisition history, assessing data quality, and selecting specific flights for detailed analysis. AI agents should use this when users ask "show me all flights over my corn field", "what imagery was captured last week", or need flight metadata before accessing specific imagery products. List all drone or aircraft flights that captured imagery for a specific field
get_multispectral_imagery
Supports indices including NDVI (Normalized Difference Vegetation Index), NDRE (Normalized Difference Red Edge), GNDVI (Green NDVI), and custom band combinations. Returns imagery layers, statistical summaries (mean, min, max, std), and zone classifications. Essential for crop vigor assessment, variable rate application planning, and growth stage monitoring. AI agents should reference this when users ask "show me NDVI map for my field", "get multispectral analysis", or need vegetation index data for precision agriculture planning. Get multispectral imagery and vegetation indices (NDVI, NDRE, GNDVI) for a field
get_nutrient_detections
Returns deficiency locations, severity estimates, affected growth stages, and variable rate fertilization recommendations. Essential for precision nutrient management, yield optimization, and cost-efficient fertilization planning. AI agents should use this when users ask "does my field have nutrient deficiencies", "where do I need to apply nitrogen", or need nutrient-specific analysis for variable rate application planning. Get nutrient deficiency detections and fertilization recommendations for a field
get_organizations
Returns organization names, IDs, contact information, and field counts. Essential for multi-account management, selecting target organizations for field analysis, and understanding the scope of monitored agricultural operations. AI agents should use this when users ask "show me all my organizations", "list farms I have access to", or need to identify available organizations before querying fields or detections. List all organizations available to the user in Taranis platform
get_scouting_recommendations
Returns specific action items including ground truth verification locations, recommended scouting patterns, treatment suggestions, timing recommendations, and priority levels. Essential for field team coordination, targeted scouting missions, and data-driven treatment decisions. AI agents should use this when users ask "what should I scout for in my field this week", "give me scouting recommendations", or need AI-generated action plans based on latest imagery analysis. Get AI-powered scouting recommendations and action plans for a field
get_threats
Returns threat categories, overall severity ratings (low, medium, high, critical), affected area percentages, trend analysis (increasing, stable, decreasing), and priority rankings. Essential for quick field health assessment, prioritizing scouting missions, and making informed treatment decisions. AI agents should reference this when users ask "what is the overall threat level in my field", "summarize field health status", or need a high-level threat overview before diving into individual detections. Get consolidated threat summary and severity assessment for a field
get_weed_detections
Returns weed locations, estimated coverage area, species classification, growth stage, and herbicide resistance indicators. Essential for targeted spot spraying, herbicide selection, and resistance management. AI agents should use this when users ask "where are the weeds in my field", "what weed species were detected", or need weed-specific analysis for precision herbicide application. Get specific weed species detections and infestation maps for a field
Example Prompts for Taranis in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Taranis immediately.
"Show me all AI-detected threats in my corn field from the latest flight."
"Generate scouting recommendations for my soybean field this week."
"What is the overall threat level and NDVI trend for my wheat field this season?"
Troubleshooting Taranis MCP Server with AutoGen
Common issues when connecting Taranis to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Taranis + AutoGen FAQ
Common questions about integrating Taranis MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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Connect Taranis to AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.