Mapflow MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 7 tools to Create Processing, Create Project, Get Processing Result, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mapflow through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Mapflow app connector for OpenAI Agents SDK 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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Mapflow Assistant",
instructions=(
"You help users interact with Mapflow. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Mapflow"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 7 tools from Mapflow through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Mapflow, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK
When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to wire Mapflow into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Mapflow MCP Server
OpenAI Agents SDK provides unique advantages when paired with Mapflow through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Mapflow + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Mapflow MCP Server delivers measurable value.
Automated workflows: build agents that query Mapflow, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Mapflow, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Mapflow tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Mapflow to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Mapflow in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Mapflow to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Mapflow + OpenAI Agents SDK FAQ
Common questions about integrating Mapflow MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.