How to integrate Here MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Here to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Here agent that can find coffee shops near central park, get driving route for delivery truck, convert address to latitude and longitude, show hybrid map tile for times square through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Here account through Composio's Here MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Here
  • Configure an AI agent that can use Here as a tool
  • Run a live chat session where you can ask the agent to perform Here operations

What is open-ai-agents-sdk?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

What is the Here MCP server, and what's possible with it?

The Here MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Here account. It provides structured and secure access to powerful location, mapping, and geocoding services, so your agent can perform actions like searching places, calculating routes, fetching map imagery, and converting addresses or coordinates on your behalf.

  • Smart place discovery and suggestions: Ask your agent to find points of interest, get autosuggested places based on partial queries, or discover addresses near a location.
  • Geocoding and reverse geocoding: Convert addresses to geographic coordinates or vice versa, enabling seamless location lookup and mapping in your workflows.
  • Map tile and imagery retrieval: Direct your agent to fetch satellite, base, or hybrid map tiles for specific locations, zoom levels, and formats for rich visual context.
  • Advanced routing and fleet planning: Have your agent calculate optimized routes with vehicle profiles, constraints, and even isolines for reachable areas based on time or distance.
  • Nearby search and contextual browsing: Let your agent browse or search for places around a given location, filtered by categories or names, to surface relevant local information.

Supported Tools & Triggers

Tools
Autosuggest PlacesTool to fetch possible completions for a partial search term.
Browse PlacesTool to search for places around a given location with optional filters.
Calculate Fleet Telematics RouteTool to calculate a route between waypoints with vehicle profile options.
Coordinates to Tile IndicesTool to convert geographic coordinates to Web Mercator XYZ tile indices.
Discover PlacesTool to discover places and addresses by free-form text near a location.
Geocode AddressTool to convert structured address data into geographic coordinates.
Get Aerial TileTool to retrieve a satellite/aerial map tile.
Get Base Map TileTool to retrieve a base map tile image without labels.
Get Hybrid Map TileTool to retrieve a hybrid (aerial + labels) map tile.
Get IsolinesTool to calculate isolines.
Get Label TileTool to retrieve a label overlay tile.
Get Line Overlay TileTool to retrieve a line overlay tile.
Get Map ImageTool to retrieve a static map image.
Get Base Map TileTool to retrieve a base map tile.
Compute Routing MatrixTool to compute a routing distance/time matrix.
Get Meta Info TileTool to retrieve metadata for a specific map tile.
Get POI TileTool to retrieve a point-of-interest overlay tile.
Get Terrain Map TileTool to retrieve a terrain map tile image.
Get Traffic FlowTool to retrieve real-time traffic flow data.
Get Traffic IncidentsTool to fetch real-time traffic incidents within a specified area.
Get Traffic TileTool to retrieve a traffic overlay tile.
Get Waypoint SequenceTool to optimize the visit order of multiple waypoints.
Daily Weather ForecastTool to provide daily weather forecasts (up to 7 days).
Get Weather ObservationTool to retrieve current weather observation.
Hourly Weather ForecastTool to fetch hourly weather forecasts.
Lookup Place DetailsTool to look up detailed information for a place by its HERE ID.
Reverse Geocode CoordinatesTool to convert geographic coordinates into a human-readable address.
Weather AlertsTool to retrieve severe weather alerts for specified locations or routes.
Get Astronomy ForecastTool to fetch astronomical data (sunrise, sunset) for a specific location.

What is the Composio tool router, and how does it fit here?

What is Tool Router?

Composio's Tool Router helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Tool Router

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Tool Router works

The Tool Router follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Here project
  • Some knowledge of Python or Typescript

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key

Install dependencies

pip install composio_openai_agents openai-agents python-dotenv

Install the Composio SDK and the OpenAI Agents SDK.

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

Import dependencies

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Here.

Set up the Composio instance

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
What's happening:
  • load_dotenv() loads your .env file so OPENAI_API_KEY and COMPOSIO_API_KEY are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.

Create a Tool Router session

# Create a Here Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["here"]
)

mcp_url = session.mcp.url

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only here.
  • The router checks the user's Here connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Here.
  • This approach keeps things lightweight and lets the agent request Here tools only when needed during the conversation.

Configure the agent

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Here. "
        "Help users perform Here operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Here and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a HostedMCPTool that connects to the MCP server URL we created earlier.
  • The headers dict includes the Composio API key for secure authentication with the MCP server.
  • require_approval: 'never' means the agent can execute Here operations without asking for permission each time, making interactions smoother.

Start chat loop and handle conversation

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
What's happening:
  • The program prints a session URL that you visit to authorize Here.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using Runner.run().
  • The responses are printed to the console, and conversations are saved locally using SQLite.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Here and open-ai-agents-sdk:

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["here"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Here. "
        "Help users perform Here operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())

Conclusion

This was a starter code for integrating Here MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Here.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

How to build Here MCP Agent with another framework

Claude Agent SDK

Claude Agent SDK

Use Here MCP with Claude Agent SDK

Google ADK

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Use Here MCP with Google ADK

LangChain

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Use Here MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Here MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Here MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Here MCP with LlamaIndex

CrewAI

CrewAI

Use Here MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Here MCP?

With a standalone Here MCP server, the agents and LLMs can only access a fixed set of Here tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Here and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Here tools.

Can I manage the permissions and scopes for Here while using Tool Router?

Yes, absolutely. You can configure which Here scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Here data and credentials are handled as safely as possible.

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