IndoorAtlas (Indoor Positioning) MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add IndoorAtlas (Indoor Positioning) 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="indooratlas_indoor_positioning_agent",
tools=tools,
system_message=(
"You help users with IndoorAtlas (Indoor Positioning). "
"10 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 IndoorAtlas (Indoor Positioning) MCP Server
Connect your IndoorAtlas account to any AI agent and take full control of your smart building infrastructure and indoor positioning services through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use IndoorAtlas (Indoor Positioning) tools. Connect 10 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
- Venue Management — List all registered indoor venues and retrieve detailed metadata including geographic anchor points and floor counts directly from your agent
- Floorplan Orchestration — Upload new floor plans as GeoJSON and manage geo-referencing to real-world coordinates for accurate indoor positioning
- Map Generation — Trigger the radio map generation process to compute positioning models from signal fingerprint data and floor geometry
- Analytics & Sessions — Retrieve historical positioning sessions and trace data to analyze occupancy patterns, dwell times, and path optimization
- Wi-Fi Positioning — Determine indoor location from Wi-Fi scans using the Positioning API to receive estimated coordinates and floor levels
- Calibration Audit — Inspect fingerprinting walk paths to assess calibration coverage and identify areas needing additional signal mapping
The IndoorAtlas (Indoor Positioning) MCP Server exposes 10 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 IndoorAtlas (Indoor Positioning) to AutoGen via MCP
Follow these steps to integrate the IndoorAtlas (Indoor Positioning) 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 10 tools from IndoorAtlas (Indoor Positioning) automatically
Why Use AutoGen with the IndoorAtlas (Indoor Positioning) MCP Server
AutoGen provides unique advantages when paired with IndoorAtlas (Indoor Positioning) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use IndoorAtlas (Indoor Positioning) tools to solve complex tasks
Role-based architecture lets you assign IndoorAtlas (Indoor Positioning) 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 IndoorAtlas (Indoor Positioning) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes IndoorAtlas (Indoor Positioning) tool responses in an isolated environment
IndoorAtlas (Indoor Positioning) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the IndoorAtlas (Indoor Positioning) MCP Server delivers measurable value.
Collaborative analysis: one agent queries IndoorAtlas (Indoor Positioning) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from IndoorAtlas (Indoor Positioning), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using IndoorAtlas (Indoor Positioning) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process IndoorAtlas (Indoor Positioning) responses in a sandboxed execution environment
IndoorAtlas (Indoor Positioning) MCP Tools for AutoGen (10)
These 10 tools become available when you connect IndoorAtlas (Indoor Positioning) to AutoGen via MCP:
create_venue
The venue serves as the top-level container for floor plans and positioning data. After creation, upload floor plan images and calibrate for positioning accuracy. Create a new indoor venue in the IndoorAtlas platform by specifying the building name, geographic coordinates of the entrance, and initial configuration parameters for indoor positioning deployment
get_fingerprint_paths
Returns GeoJSON LineString features representing calibration paths. Use to assess calibration coverage and identify areas of the floor that need additional fingerprinting for better positioning accuracy. Retrieve the fingerprinting walk paths recorded for a specific floor plan as GeoJSON, showing the routes surveyors walked while collecting Wi-Fi/BLE signal data for positioning calibration
get_session_data
Returns the complete position trace as a series of timestamped fixes. Use for path visualization, behavioral analysis, and positioning quality assessment. Large sessions may contain thousands of position fixes. Retrieve the full positioning trace data for a specific IndoorAtlas session, including timestamped coordinate fixes, floor transitions, accuracy metrics, and sensor readings throughout the session duration
get_venue_details
Returns the venue configuration including coordinate reference, building dimensions, and mapping completeness metrics. Use to inspect a venue before deploying positioning or wayfinding features. Retrieve detailed metadata for a specific IndoorAtlas venue including its geographic anchor point, floor count, total mapped area, calibration status, and associated floor plan identifiers
list_floorplans
Returns an array of floor plan metadata objects ordered by floor number. Each entry includes the plan dimensions, pixel-to-meter scale, and whether radio map generation has been completed. List all floor plans uploaded to a specific IndoorAtlas venue, returning floor plan IDs, floor numbers, dimensions, geo-alignment status, and map generation readiness for each level of the building
list_positioning_sessions
Returns a paginated list of positioning sessions. Each session represents a continuous period of indoor tracking by a single device. Use for occupancy analytics, dwell time analysis, and path optimization studies. List historical indoor positioning sessions recorded by IndoorAtlas, returning session IDs, start/end times, venue associations, and device information for analytics and path replay
list_venues
Returns an array of venue objects. Each venue represents a physical building that has been set up for indoor positioning. Use to discover available venues before requesting floor plans or positioning data. List all indoor venues registered in your IndoorAtlas organization, returning venue IDs, names, geographic coordinates, and configuration status for each mapped building or facility
position_from_wifi_scan
Returns estimated coordinates with uncertainty radius. Use for server-side positioning when mobile SDK integration is not feasible. Determine indoor position from a Wi-Fi access point scan using the IndoorAtlas Positioning API, submitting observed signal strengths to receive a calculated latitude, longitude, floor level, and accuracy estimate
trigger_map_generation
This is a critical step — positioning will not work on a floor until map generation completes successfully. The process is asynchronous and may take several minutes depending on floor plan complexity. Trigger the IndoorAtlas radio map generation process for a specific floor plan, initiating the server-side computation that creates the positioning model from fingerprint data and floor plan geometry
upload_floorplan_geojson
After upload, trigger map generation to enable positioning on this floor. Upload a new floor plan to an IndoorAtlas venue as a GeoJSON document, geo-referencing the indoor map image to real-world coordinates for accurate positioning overlay
Example Prompts for IndoorAtlas (Indoor Positioning) in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with IndoorAtlas (Indoor Positioning) immediately.
"List all indoor venues in my IndoorAtlas account"
"Check the calibration paths for the 3rd floor of the 'Retail Mall'"
"List the most recent positioning sessions recorded today"
Troubleshooting IndoorAtlas (Indoor Positioning) MCP Server with AutoGen
Common issues when connecting IndoorAtlas (Indoor Positioning) to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"IndoorAtlas (Indoor Positioning) + AutoGen FAQ
Common questions about integrating IndoorAtlas (Indoor Positioning) 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 IndoorAtlas (Indoor Positioning) to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.