# How to integrate Openweather api MCP with Mastra AI ```json { "title": "How to integrate Openweather api MCP with Mastra AI", "toolkit": "Openweather api", "toolkit_slug": "openweather_api", "framework": "Mastra AI", "framework_slug": "mastra-ai", "url": "https://composio.dev/toolkits/openweather_api/framework/mastra-ai", "markdown_url": "https://composio.dev/toolkits/openweather_api/framework/mastra-ai.md", "updated_at": "2026-05-12T10:20:57.968Z" } ``` ## Introduction This guide walks you through connecting Openweather api to Mastra AI 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 Mastra AI 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) - [OpenAI Agents SDK](https://composio.dev/toolkits/openweather_api/framework/open-ai-agents-sdk) - [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) - [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: - Set up your environment so Mastra, OpenAI, and Composio work together - Create a Tool Router session in Composio that exposes Openweather api tools - Connect Mastra's MCP client to the Composio generated MCP URL - Fetch Openweather api tool definitions and attach them as a toolset - Build a Mastra agent that can reason, call tools, and return structured results - Run an interactive CLI where you can chat with your Openweather api agent ## What is Mastra AI? Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP. Key features include: - MCP Client: Built-in support for Model Context Protocol servers - Toolsets: Organize tools into logical groups - Step Callbacks: Monitor and debug agent execution - OpenAI Integration: Works with OpenAI models via @ai-sdk/openai ## 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: - Node.js 18 or higher - A Composio account with an active API key - An OpenAI API key - Basic familiarity with 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 need credits or a connected billing setup to use the models. - Store the key somewhere 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. - This key lets your Mastra agent talk to Composio and reach Openweather api through MCP. ### 2. Install dependencies Install the required packages. What's happening: - @composio/core is the Composio SDK for creating MCP sessions - @mastra/core provides the Agent class - @mastra/mcp is Mastra's MCP client - @ai-sdk/openai is the model wrapper for OpenAI - dotenv loads environment variables from .env ```bash npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your requests to Composio - COMPOSIO_USER_ID tells Composio which user this session belongs to - OPENAI_API_KEY lets the Mastra agent call OpenAI models ```bash COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import libraries and validate environment What's happening: - dotenv/config auto loads your .env so process.env.* is available - openai gives you a Mastra compatible model wrapper - Agent is the Mastra agent that will call tools and produce answers - MCPClient connects Mastra to your Composio MCP server - Composio is used to create a Tool Router session ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Agent } from "@mastra/core/agent"; import { MCPClient } from "@mastra/mcp"; import { Composio } from "@composio/core"; import * as readline from "readline"; import type { AiMessageType } from "@mastra/core/agent"; const openaiAPIKey = process.env.OPENAI_API_KEY; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey as string, }); ``` ### 5. Create a Tool Router session for Openweather api What's happening: - create spins up a short-lived MCP HTTP endpoint for this user - The toolkits array contains "openweather_api" for Openweather api access - session.mcp.url is the MCP URL that Mastra's MCPClient will connect to ```typescript async function main() { const session = await composio.create( composioUserID as string, { toolkits: ["openweather_api"], }, ); const composioMCPUrl = session.mcp.url; console.log("Openweather api MCP URL:", composioMCPUrl); ``` ### 6. Configure Mastra MCP client and fetch tools What's happening: - MCPClient takes an id for this client and a list of MCP servers - The headers property includes the x-api-key for authentication - getTools fetches the tool definitions exposed by the Openweather api toolkit ```typescript const mcpClient = new MCPClient({ id: composioUserID as string, servers: { nasdaq: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); console.log("Fetching MCP tools from Composio..."); const composioTools = await mcpClient.getTools(); console.log("Number of tools:", Object.keys(composioTools).length); ``` ### 7. Create the Mastra agent What's happening: - Agent is the core Mastra agent - name is just an identifier for logging and debugging - instructions guide the agent to use tools instead of only answering in natural language - model uses openai("gpt-5") to configure the underlying LLM ```typescript const agent = new Agent({ name: "openweather_api-mastra-agent", instructions: "You are an AI agent with Openweather api tools via Composio.", model: "openai/gpt-5", }); ``` ### 8. Set up interactive chat interface What's happening: - messages keeps the full conversation history in Mastra's expected format - agent.generate runs the agent with conversation history and Openweather api toolsets - maxSteps limits how many tool calls the agent can take in a single run - onStepFinish is a hook that prints intermediate steps for debugging ```typescript let messages: AiMessageType[] = []; console.log("Chat started! Type 'exit' or 'quit' to end.\n"); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ id: crypto.randomUUID(), role: "user", content: trimmedInput, }); console.log("\nAgent is thinking...\n"); try { const response = await agent.generate(messages, { toolsets: { openweather_api: composioTools, }, maxSteps: 8, }); const { text } = response; if (text && text.trim().length > 0) { console.log(`Agent: ${text}\n`); messages.push({ id: crypto.randomUUID(), role: "assistant", content: text, }); } } catch (error) { console.error("\nError:", error); } rl.prompt(); }); rl.on("close", async () => { console.log("\nSession ended."); await mcpClient.disconnect(); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Agent } from "@mastra/core/agent"; import { MCPClient } from "@mastra/mcp"; import { Composio } from "@composio/core"; import * as readline from "readline"; import type { AiMessageType } from "@mastra/core/agent"; const openaiAPIKey = process.env.OPENAI_API_KEY; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey as string }); async function main() { const session = await composio.create(composioUserID as string, { toolkits: ["openweather_api"], }); const composioMCPUrl = session.mcp.url; const mcpClient = new MCPClient({ id: composioUserID as string, servers: { openweather_api: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); const composioTools = await mcpClient.getTools(); const agent = new Agent({ name: "openweather_api-mastra-agent", instructions: "You are an AI agent with Openweather api tools via Composio.", model: "openai/gpt-5", }); let messages: AiMessageType[] = []; const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (input: string) => { const trimmed = input.trim(); if (["exit", "quit"].includes(trimmed.toLowerCase())) { rl.close(); return; } messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed }); const { text } = await agent.generate(messages, { toolsets: { openweather_api: composioTools }, maxSteps: 8, }); if (text) { console.log(`Agent: ${text}\n`); messages.push({ id: crypto.randomUUID(), role: "assistant", content: text }); } rl.prompt(); }); rl.on("close", async () => { await mcpClient.disconnect(); process.exit(0); }); } main(); ``` ## Conclusion You've built a Mastra AI agent that can interact with Openweather api through Composio's Tool Router. You can extend this further by: - Adding other toolkits like Gmail, Slack, or GitHub - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows ## How to build Openweather api MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/openweather_api/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/openweather_api/framework/open-ai-agents-sdk) - [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) - [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 Mastra AI? Yes, you can. Mastra AI 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. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)