# How to integrate Openweather api MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Openweather api MCP with OpenAI Agents SDK",
  "toolkit": "Openweather api",
  "toolkit_slug": "openweather_api",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/openweather_api/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/openweather_api/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:20:57.968Z"
}
```

## Introduction

This guide walks you through connecting Openweather api to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Openweather api agent that can get current weather in paris right now, show 5-day forecast for san francisco, check today's air quality in new delhi through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Openweather api account through Composio's Openweather api MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Openweather api with

- [ChatGPT](https://composio.dev/toolkits/openweather_api/framework/chatgpt)
- [Claude Agent SDK](https://composio.dev/toolkits/openweather_api/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/openweather_api/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/openweather_api/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/openweather_api/framework/codex)
- [Cursor](https://composio.dev/toolkits/openweather_api/framework/cursor)
- [VS Code](https://composio.dev/toolkits/openweather_api/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/openweather_api/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/openweather_api/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/openweather_api/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/openweather_api/framework/cli)
- [Google ADK](https://composio.dev/toolkits/openweather_api/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/openweather_api/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/openweather_api/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/openweather_api/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/openweather_api/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/openweather_api/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 Openweather api
- Configure an AI agent that can use Openweather api as a tool
- Run a live chat session where you can ask the agent to perform Openweather api 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 Openweather api MCP server, and what's possible with it?

The Openweather api MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Openweather api account. It provides structured and secure access to real-time, forecasted, and historical weather data, so your agent can fetch current conditions, deliver forecasts, analyze air quality, and perform location-based weather insights on your behalf.
- Current weather retrieval: Instantly get up-to-the-minute weather details for any city or geographic coordinate, including temperature, humidity, and wind.
- Five-day weather forecasting: Ask your agent for detailed 5-day forecasts in 3-hour intervals to plan events, travel, or outdoor activities.
- Air pollution and UV index analysis: Retrieve current, forecasted, and historical air pollution data, as well as UV index values, to monitor environmental quality for any location.
- Geocoding and reverse geocoding: Convert location names to coordinates or find city/state information from latitude and longitude, enabling location-aware weather queries.
- Radius-based weather search: Fetch weather conditions for all cities within a specified radius around a geographic point for broader regional analysis.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `OPENWEATHER_API_DELETE_WEATHER_STATION` | Delete Weather Station | Tool to delete a registered weather station. Use after identifying a station to remove. Returns confirmation message upon success. |
| `OPENWEATHER_API_GET5_DAY_FORECAST` | Get 5 Day Forecast | Tool to get a 5-day forecast every 3 hours (up to 40 UTC timestamps). Exactly one location identifier required per call: `q`, `id`, `zip`, or `lat`+`lon` pair. Use `city.timezone` offset to convert timestamps to local time before grouping into daily summaries. |
| `OPENWEATHER_API_GET_AIR_POLLUTION_CURRENT` | Get Current Air Pollution Data | Tool to fetch current air pollution data for a location. Use when you need real-time air quality details by latitude and longitude. |
| `OPENWEATHER_API_GET_AIR_POLLUTION_FORECAST` | Get Air Pollution Forecast | Tool to get forecasted air pollution data for a specific location. Use after confirming latitude and longitude. Forecast availability may be limited for remote or oceanic coordinates; verify response timestamps to confirm returned data represents a true forecast rather than a current snapshot. |
| `OPENWEATHER_API_GET_AIR_POLLUTION_HISTORY` | Get Air Pollution History | Tool to retrieve historical air pollution data. Use when you need past air quality levels for a specific latitude/longitude and time range. |
| `OPENWEATHER_API_GET_CIRCLE_CITY_WEATHER` | Get Circle City Weather | Tool to search for current weather data in cities around a geographic point. Use when you need to fetch weather within a radius circle after confirming latitude and longitude. |
| `OPENWEATHER_API_GET_CURRENT_WEATHER` | Get Current Weather | Tool to retrieve current weather data for a location. Use when you need up-to-the-minute weather info. Exactly one location identifier must be provided per call: either `q`, `id`, `zip`, or the pair `lat`+`lon`. Passing multiple identifiers causes errors or ambiguous matches. |
| `OPENWEATHER_API_GET_GEOCODING_BY_ZIP` | Get Geocoding by Zip Code | Tool to convert zip/post code into geographic coordinates. Use when you need latitude and longitude for a specific postal code. |
| `OPENWEATHER_API_GET_GEOCODING_DIRECT` | Get Direct Geocoding | Tool to convert a location name into geographic coordinates. Use when you need latitude and longitude for a given location after confirming the precise name. |
| `OPENWEATHER_API_GET_GEOCODING_REVERSE` | Get Reverse Geocoding | Tool to convert geographic coordinates into a location name. Use when you need city, state, and country info from latitude and longitude. |
| `OPENWEATHER_API_GET_STATION_MEASUREMENTS` | Get Station Measurements | Tool to retrieve aggregated measurements from a weather station with minute, hour, or day granularity. Use when you need historical weather data from a specific registered station. |
| `OPENWEATHER_API_GET_UV_INDEX` | Get Current UV Index | Tool to retrieve current UV index for a location. Use when you need up-to-the-minute UV index by latitude and longitude. |
| `OPENWEATHER_API_GET_UV_INDEX_FORECAST` | Get UV Index Forecast | Tool to retrieve UV index forecast for a specific location. Use when you need upcoming UV index values after confirming latitude and longitude. Returns up to 8 days of data. Data may be sparse or absent for ocean and remote locations; an empty response means no data available, not safe UV conditions. |
| `OPENWEATHER_API_GET_UV_INDEX_HISTORY` | Get UV Index History | Tool to retrieve historical UV index data for a specified location and time range. Use when you need to analyze past UV exposure trends after confirming coordinates and time period. |
| `OPENWEATHER_API_GET_WEATHER_MAP_TILE` | Get Weather Map Tile (2.0) | Tool to fetch Weather Maps 2.0 tile images. Use when you need dynamic weather layers at specific zoom and coordinates with advanced styling options. |
| `OPENWEATHER_API_GET_WEATHER_STATION` | Get Weather Station | Tool to get information about a specific weather station by its ID. Use when you need details about a particular station. |
| `OPENWEATHER_API_GET_WEATHER_STATIONS` | Get Weather Stations | Tool to list all weather stations added to your account. Use after setting up your OpenWeather API key. |
| `OPENWEATHER_API_GET_WEATHER_TRIGGERS` | Get Weather Triggers | Tool to retrieve weather triggers for specific conditions. Use after defining trigger criteria. |
| `OPENWEATHER_API_POST_ADD_WEATHER_STATION` | Add Weather Station | Tool to add a new weather station to your account. Use when you need to register a station before sending custom data. |
| `OPENWEATHER_API_POST_SUBMIT_STATION_MEASUREMENTS` | Submit Station Measurements | Tool to submit weather measurements from a registered station. Use when you need to send temperature, wind, pressure, humidity, or precipitation data for a station. |
| `OPENWEATHER_API_UPDATE_WEATHER_STATION` | Update Weather Station | Tool to update weather station details. Use when you need to modify the name, location, or external ID of an existing station. |

## Supported Triggers

None listed.

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

The Openweather api MCP server is an implementation of the Model Context Protocol that connects your AI agent to Openweather api. It provides structured and secure access so your agent can perform Openweather api 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 Openweather api 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 Openweather api.
```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 openweather_api.
- The router checks the user's Openweather api connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Openweather api.
- This approach keeps things lightweight and lets the agent request Openweather api tools only when needed during the conversation.
```python
# Create a Openweather api Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["openweather_api"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Openweather api
const session = await composio.create(userId as string, {
  toolkits: ['openweather_api'],
});
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 Openweather api. "
        "Help users perform Openweather api 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 Openweather api. Help users perform Openweather api 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=["openweather_api"]
)
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 Openweather api. "
        "Help users perform Openweather api 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: ['openweather_api'],
  });
  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 Openweather api. Help users perform Openweather api 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 Openweather api MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Openweather api.
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 Openweather api MCP Agent with another framework

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

## Related Toolkits

- [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.
- [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.
- [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agenty](https://composio.dev/toolkits/agenty) - Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. It streamlines data collection, monitoring, and repetitive online actions.
- [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows.
- [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations.
- [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements.
- [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints.
- [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.
- [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches.
- [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand.
- [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.
- [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.
- [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation.
- [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 Openweather api MCP?

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

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

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

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