Mapflow MCP Server for AutoGenGive AutoGen instant access to 7 tools to Create Processing, Create Project, Get Processing Result, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Mapflow as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The Mapflow app connector for AutoGen is a standout in the Artificial Intelligence category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="mapflow_agent",
tools=tools,
system_message=(
"You help users with Mapflow. "
"7 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 Mapflow MCP Server
Connect your Mapflow account to any AI agent and manage geospatial AI processing through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Mapflow tools. Connect 7 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
- Project Management — Create and manage mapping projects
- Image Processing — Trigger AI models on satellite and drone imagery
- Task Tracking — Monitor processing status and completion
- Dataset Browsing — Access generated vector datasets and polygons
- Model Management — Browse available AI models (buildings, roads, forests)
The Mapflow MCP Server exposes 7 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.
All 7 Mapflow tools available for AutoGen
When AutoGen connects to Mapflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning geospatial-ai, satellite-imagery, drone-mapping, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Pass data as a JSON string. Start a new imagery analysis
Pass data as a JSON string. Create a new project
Get processing result data
Check status of a processing job
List available geospatial AI models
List all geospatial processings
List all MapFlow projects
Connect Mapflow to AutoGen via MCP
Follow these steps to wire Mapflow into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Mapflow MCP Server
AutoGen provides unique advantages when paired with Mapflow through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Mapflow tools to solve complex tasks
Role-based architecture lets you assign Mapflow 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 Mapflow tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Mapflow tool responses in an isolated environment
Mapflow + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Mapflow MCP Server delivers measurable value.
Collaborative analysis: one agent queries Mapflow while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Mapflow, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Mapflow data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Mapflow responses in a sandboxed execution environment
Example Prompts for Mapflow in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Mapflow immediately.
"List available AI models and my active projects."
"Start processing building footprints for the Seattle project."
"Check status of task tsk_8901 and show dataset results."
Troubleshooting Mapflow MCP Server with AutoGen
Common issues when connecting Mapflow to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Mapflow + AutoGen FAQ
Common questions about integrating Mapflow MCP Server with AutoGen.