How to Use the Mapbox (Maps & Geospatial) MCP in OpenAI Agents SDK

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Connect Mapbox (Maps & Geospatial) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Mapbox (Maps & Geospatial) 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 Mapbox (Maps & Geospatial) with OpenAI Agents SDK

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Perplexity

Route planning for agent workflows

Calculate efficient paths with `get_directions` directly inside your agent logic. Your agents generate turn-by-turn data and travel times without needing external routing services. Automate complex delivery sequences using `solve_optimization`. This ensures your agent-driven logistics logic stays within strict latency bounds while reducing travel overhead.

Mapbox (Maps & Geospatial) address search

Turn raw user input into structured location data using `search_places`. Your agent resolves ambiguous queries instantly, feeding clean coordinates into the rest of your system. Use `geocoding_session` for multi-step search interactions. This keeps your context stateful, ensuring the agent maintains accuracy across sequential address resolutions.

Geospatial data refinement

Clean up noisy GPS data with `snap_to_road`. Your agent can now process raw traces from mobile devices and map them accurately to the road network. Query terrain data via `get_elevation` when your agent needs to account for geography. This adds a layer of physical context to your logistics modeling.

Setup guide

Set up Mapbox (Maps & Geospatial) 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 Mapbox (Maps & Geospatial) tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Mapbox (Maps & Geospatial) 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="Mapbox (Maps & Geospatial) Agent",
            instructions="You have access to Mapbox (Maps & Geospatial) 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 Mapbox (Maps & Geospatial) MCP in OpenAI Agents SDK

Use the MCPServerStreamableHttp class. Pass your endpoint to the Agent constructor and the tools will auto-discover for immediate use.

Yes, set cacheToolsList to True. This improves performance by storing tool definitions locally in your agent state.

You can implement custom guardrails within your agent workflow. Validate the tool response schema before your agent executes subsequent actions.

The server runs independently. Your agent client connects via HTTP, ensuring your environment remains modular and production-ready.

Data flows directly between your agent and the API. We use standard endpoint tokens, ensuring your coordinates never touch intermediate storage.

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