# How to integrate Opencage MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Opencage MCP with OpenAI Agents SDK",
  "toolkit": "Opencage",
  "toolkit_slug": "opencage",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/opencage/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/opencage/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:20:50.267Z"
}
```

## Introduction

This guide walks you through connecting Opencage to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Opencage agent that can get coordinates for a hotel address, find the address of given gps coordinates, return geojson for a city location through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Opencage account through Composio's Opencage MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Opencage with

- [Claude Agent SDK](https://composio.dev/toolkits/opencage/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/opencage/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/opencage/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/opencage/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/opencage/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/opencage/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/opencage/framework/cli)
- [Google ADK](https://composio.dev/toolkits/opencage/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/opencage/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/opencage/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/opencage/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/opencage/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/opencage/framework/crew-ai)

## 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 Opencage
- Configure an AI agent that can use Opencage as a tool
- Run a live chat session where you can ask the agent to perform Opencage operations

## What is OpenAI 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 Opencage MCP server, and what's possible with it?

The Opencage MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Opencage account. It provides structured and secure access to global geocoding services, so your agent can perform actions like translating addresses to coordinates, finding locations from GPS, converting to GeoJSON, and handling multiple output formats on your behalf.
- Forward geocoding for addresses: Instantly convert human-readable addresses into precise latitude and longitude coordinates for mapping or logistics tasks.
- Reverse geocoding coordinates: Give your agent raw GPS coordinates and receive the nearest human-readable address or location details.
- GeoJSON feature generation: Request GeoJSON output for geocoding results, making it easy to visualize or integrate locations in mapping applications.
- Flexible output formats: Get geocoding data in XML or JSONP formats, ensuring compatibility with a variety of development workflows and systems.
- Seamless integration with open data sources: Tap into comprehensive and up-to-date location information sourced from open datasets for global coverage.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `OPENCAGE_GEOCODE_FORWARD` | Forward Geocode Address | Tool to convert a human-readable address into geographic coordinates. Use when you need to retrieve latitude and longitude from an address. |
| `OPENCAGE_GEOCODE_GEOJSON` | Geocode to GeoJSON | Geocode addresses or coordinates and return results in GeoJSON FeatureCollection format. Use this tool when you need: - Geographic data in standard GeoJSON format for mapping applications - Forward geocoding: convert addresses to coordinates - Reverse geocoding: convert coordinates to addresses The response includes coordinates, formatted addresses, and optional annotations like timezone, currency, and sun times for each location. |
| `OPENCAGE_GEOCODE_GEOJSONP` | Geocode with JSONP | Geocode an address and return results wrapped in a JavaScript callback function (JSONP format). Use this tool when you need geocoding results that can be directly consumed by JavaScript through a callback function, typically for cross-domain AJAX requests in browser environments. The response wraps standard geocoding JSON with your specified callback function name. Example response: myCallback({"results":[{"geometry":{"lat":52.5,"lng":13.4},"formatted":"Berlin, Germany",...}],...}) |
| `OPENCAGE_GEOCODE_GOOGLE_V3_JSON` | Geocode Google v3 JSON | Tool to perform forward geocoding and return results in Google Geocoding API v3 compatible JSON format. Use when you need Google v3 compatible output for legacy integrations. Note: This is a legacy format that may be discontinued; using the standard JSON format is recommended. |
| `OPENCAGE_GEOCODE_REVERSE` | Reverse Geocode Coordinates | Tool to convert coordinates to a human-readable address. Use when you have latitude and longitude and need a readable location. |
| `OPENCAGE_GEOCODE_XML` | Geocode XML | Geocode a location query and return results in XML format. Supports both forward geocoding (address to coordinates) and reverse geocoding (coordinates to address). Use this when you need XML-formatted output instead of JSON. |
| `OPENCAGE_PING_OPENCAGE` | Check API Health | Tool to check API health and connectivity. Returns 'pong' if the API is reachable. Use when you need to verify that the OpenCage API is accessible and operational. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Opencage MCP server is an implementation of the Model Context Protocol that connects your AI agent to Opencage. It provides structured and secure access so your agent can perform Opencage operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

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 Opencage.
```python
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
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
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())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only opencage.
- The router checks the user's Opencage connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Opencage.
- This approach keeps things lightweight and lets the agent request Opencage tools only when needed during the conversation.
```python
# Create a Opencage Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["opencage"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Opencage
const session = await composio.create(userId as string, {
  toolkits: ['opencage'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Opencage. "
        "Help users perform Opencage 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",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Opencage. Help users perform Opencage operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
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())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
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=["opencage"]
)
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 Opencage. "
        "Help users perform Opencage 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())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['opencage'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Opencage. Help users perform Opencage operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

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

- [Claude Agent SDK](https://composio.dev/toolkits/opencage/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/opencage/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/opencage/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/opencage/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/opencage/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/opencage/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/opencage/framework/cli)
- [Google ADK](https://composio.dev/toolkits/opencage/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/opencage/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/opencage/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/opencage/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/opencage/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/opencage/framework/crew-ai)

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- [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.
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- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research.
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- [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation.
- [Cabinpanda](https://composio.dev/toolkits/cabinpanda) - Cabinpanda is a data collection platform for building and managing online forms. It helps streamline how you gather, organize, and analyze responses.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Opencage MCP?

With a standalone Opencage MCP server, the agents and LLMs can only access a fixed set of Opencage tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Opencage 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 Opencage tools.

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

Yes, absolutely. You can configure which Opencage 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 Opencage data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)