How to Use the ArcGIS Alternative MCP in OpenAI Agents SDK

Q: How do I connect the ArcGIS Alternative MCP server to OpenAI Agents SDK?

Install the openai-agents package and initialize MCPServerStreamableHttp with your Vinkius endpoint URL. Pass it into your Agent constructor using the mcpservers list.

Q: Does OpenAI Agents SDK cache ArcGIS Alternative responses?

Setting cacheToolsList=True during setup prevents the agent from re-fetching the available tool schemas on every run. Actual spatial data caching depends on your custom agent logic.

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Connect ArcGIS Alternative MCP to OpenAI Agents SDK

Create your Vinkius account to connect ArcGIS Alternative to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup ArcGIS Alternative with OpenAI Agents SDK

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Map out routes using OpenAI Agents SDK

The `get_route` tool calculates exact driving, walking, or trucking directions between semicolon-separated coordinate pairs. Your agent can pull a list of deliveries from a database, pass the coordinates to this MCP server, and get back total distance, travel time, and turn-by-turn geometry. Pairing this with `get_elevation` lets your system validate terrain changes before dispatching a vehicle. Guardrails in your OpenAI setup can halt the execution if the elevation variance exceeds a safe threshold, preventing agents from sending trucks over impassable mountain passes.

Translate messy text into precise coordinates

The `geocode_address` tool parses unstructured location data into clean longitude and latitude values. Passing a string like "Eiffel Tower, Paris" returns exact coordinates alongside a confidence score. Once the agent pins down the exact spot, it can trigger `search_places` to find nearby hospitals or gas stations within a specific radius. Handoffs work perfectly here. One agent cleans the address data, then passes the coordinates to a specialized logistics agent for nearby resource allocation.

Identify GPS pings and style map layers

The `reverse_geocode` tool takes raw GPS pings and spits out the nearest street address and place name. Fleet tracking systems rely on this to tell human operators exactly where a vehicle stopped without making them read raw coordinate pairs. If your application needs to render these points visually, `get_basemap_styles` returns available map layer IDs and thumbnail URLs. Tracing via the OpenAI dashboard tracks exactly how long these external API calls take, helping you monitor latency across your entire spatial pipeline.

Setup guide

Set up ArcGIS Alternative MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all ArcGIS Alternative tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ArcGIS Alternative tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ArcGIS Alternative tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="ArcGIS Alternative Agent",
            instructions="You have access to ArcGIS Alternative tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about ArcGIS Alternative MCP in OpenAI Agents SDK

Install the `openai-agents` package and initialize `MCPServerStreamableHttp` with your Vinkius endpoint URL. Pass it into your Agent constructor using the `mcp_servers` list.

You need to iterate through stops sequentially or chain them as semicolon-separated pairs in a single `get_route` call. The agent will process the geometry and travel times for the entire path.

Setting `cacheToolsList=True` during setup prevents the agent from re-fetching the available tool schemas on every run. Actual spatial data caching depends on your custom agent logic.

The tool returns a low confidence score or an empty candidate list. Your agent can use built-in guardrails to catch this and ask the user for clarification before proceeding.

Vinkius runs the server in an ephemeral V8 Isolate sandbox that destroys itself after execution. The coordinates, addresses, and route geometries your agents process never persist on our infrastructure.

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