# How to integrate Graphhopper MCP with Mastra AI ```json { "title": "How to integrate Graphhopper MCP with Mastra AI", "toolkit": "Graphhopper", "toolkit_slug": "graphhopper", "framework": "Mastra AI", "framework_slug": "mastra-ai", "url": "https://composio.dev/toolkits/graphhopper/framework/mastra-ai", "markdown_url": "https://composio.dev/toolkits/graphhopper/framework/mastra-ai.md", "updated_at": "2026-05-06T08:14:45.265Z" } ``` ## Introduction This guide walks you through connecting Graphhopper to Mastra AI using the Composio tool router. By the end, you'll have a working Graphhopper agent that can optimize delivery routes for multiple trucks, find all areas reachable within 15 minutes, convert a list of addresses to coordinates through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Graphhopper account through Composio's Graphhopper MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Graphhopper with - [OpenAI Agents SDK](https://composio.dev/toolkits/graphhopper/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/graphhopper/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/graphhopper/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/graphhopper/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/graphhopper/framework/codex) - [OpenClaw](https://composio.dev/toolkits/graphhopper/framework/openclaw) - [Hermes](https://composio.dev/toolkits/graphhopper/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/graphhopper/framework/cli) - [Google ADK](https://composio.dev/toolkits/graphhopper/framework/google-adk) - [LangChain](https://composio.dev/toolkits/graphhopper/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/graphhopper/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/graphhopper/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/graphhopper/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 Graphhopper tools - Connect Mastra's MCP client to the Composio generated MCP URL - Fetch Graphhopper 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 Graphhopper 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 Graphhopper MCP server, and what's possible with it? The Graphhopper MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Graphhopper account. It provides structured and secure access to powerful routing, geocoding, and optimization services, so your agent can perform actions like planning routes, solving vehicle routing problems, geocoding addresses, and generating travel time isochrones on your behalf. - Advanced route planning and optimization: Calculate complex routes for cars, bikes, or trucks using advanced parameters, waypoints, and custom profiles, all without manual map work. - Batch distance and time calculations: Let your agent generate distance or time matrices for multiple origins and destinations, streamlining logistics and route optimization tasks. - Geocoding and reverse geocoding: Convert between street addresses and GPS coordinates, or look up locations by latitude/longitude, making address management and mapping effortless. - Isochrone map generation: Automatically create isochrone polygons to visualize areas reachable within a specific travel time or distance from any point—perfect for delivery zones, emergency planning, or site selection. - Vehicle routing problem (VRP) solving: Offload complex fleet and logistics challenges to your agent, letting it assign deliveries, optimize routes, and minimize travel distances or costs using Graphhopper's VRP tools. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `GRAPHHOPPER_CLUSTER_POST` | Capacity Clustering | Tool to solve capacity clustering problem. Use when assigning a set of customers to clusters to minimize total distance synchronously. | | `GRAPHHOPPER_GEOCODE_GET` | GraphHopper Geocoding | Tool to perform forward or reverse geocoding. Use when converting between textual addresses and latitude/longitude coordinates. | | `GRAPHHOPPER_ISOCHRONE_GET` | Get Isochrone | Tool to compute isochrone polygons for a given point. Use when you need to determine areas reachable within time or distance constraints. | | `GRAPHHOPPER_MATRIX_POST` | Calculate Matrix | Tool to calculate distance, time, or weight matrices via POST. Use when you have multiple origins/destinations or a symmetric point set and need a single batch request. | | `GRAPHHOPPER_PROFILES_GET` | Get Custom Profiles | Tool to retrieve a list of all user-defined routing profiles. Use when you need to list custom profiles. | | `GRAPHHOPPER_ROUTE_POST` | POST Route | Tool to calculate complex routes via POST /route. Use when you need advanced route planning with custom parameters. | | `GRAPHHOPPER_UPLOAD_GPX_FILE` | Upload GPX File | Tool to upload a GPX file to a public file hosting endpoint. Returns a public URL which can be used where a 's3key' is required. | | `GRAPHHOPPER_VRP_POST` | GraphHopper VRP POST | Tool to initiate VRP optimization. Use when you need to solve vehicle routing problems synchronously. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Graphhopper MCP server is an implementation of the Model Context Protocol that connects your AI agent to Graphhopper. It provides structured and secure access so your agent can perform Graphhopper 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 Graphhopper 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 Graphhopper What's happening: - create spins up a short-lived MCP HTTP endpoint for this user - The toolkits array contains "graphhopper" for Graphhopper 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: ["graphhopper"], }, ); const composioMCPUrl = session.mcp.url; console.log("Graphhopper 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 Graphhopper 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: "graphhopper-mastra-agent", instructions: "You are an AI agent with Graphhopper 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 Graphhopper 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: { graphhopper: 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: ["graphhopper"], }); const composioMCPUrl = session.mcp.url; const mcpClient = new MCPClient({ id: composioUserID as string, servers: { graphhopper: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); const composioTools = await mcpClient.getTools(); const agent = new Agent({ name: "graphhopper-mastra-agent", instructions: "You are an AI agent with Graphhopper 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: { graphhopper: 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 Graphhopper 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 Graphhopper MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/graphhopper/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/graphhopper/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/graphhopper/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/graphhopper/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/graphhopper/framework/codex) - [OpenClaw](https://composio.dev/toolkits/graphhopper/framework/openclaw) - [Hermes](https://composio.dev/toolkits/graphhopper/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/graphhopper/framework/cli) - [Google ADK](https://composio.dev/toolkits/graphhopper/framework/google-adk) - [LangChain](https://composio.dev/toolkits/graphhopper/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/graphhopper/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/graphhopper/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/graphhopper/framework/crew-ai) ## Related Toolkits - [Apilio](https://composio.dev/toolkits/apilio) - Apilio is a home automation platform that lets you connect and control smart devices from different brands. It helps you build flexible automations with complex conditions, schedules, and integrations. - [Basin](https://composio.dev/toolkits/basin) - Basin is a no-code form backend for quickly setting up reliable contact forms. It lets you collect and manage form submissions without writing any server-side code. - [Bouncer](https://composio.dev/toolkits/bouncer) - Bouncer is an email validation platform that verifies the authenticity of email addresses in real-time and batch. It helps boost deliverability and reduce bounce rates for your communications. - [Conveyor](https://composio.dev/toolkits/conveyor) - Conveyor is a platform that automates security reviews with a Trust Center and AI-driven questionnaire automation. It streamlines compliance and vendor security processes for faster, hassle-free reviews. - [Crowdin](https://composio.dev/toolkits/crowdin) - Crowdin is a localization management platform that streamlines translation workflows and collaboration. 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Capture, manage, and integrate form responses securely for streamlined workflows. - [Hyperbrowser](https://composio.dev/toolkits/hyperbrowser) - Hyperbrowser is a next-generation platform for scalable browser automation. It empowers AI agents to interact with web apps, automate workflows, and handle browser sessions at scale. - [La Growth Machine](https://composio.dev/toolkits/lagrowthmachine) - La Growth Machine automates multi-channel sales outreach and routine tasks for sales teams. Streamline your workflow and focus on closing more deals. - [Leverly](https://composio.dev/toolkits/leverly) - Leverly is a workflow automation platform that connects and coordinates actions across your apps. It streamlines repetitive processes so your business runs smoother, faster, and with fewer manual steps. - [Maintainx](https://composio.dev/toolkits/maintainx) - Maintainx is a cloud-based CMMS for centralizing maintenance data, communication, and workflows. It helps organizations streamline maintenance operations and improve team coordination. - [Make](https://composio.dev/toolkits/make) - Make is an automation platform that connects your favorite apps and services. Build powerful, custom workflows without writing code. - [Ntfy](https://composio.dev/toolkits/ntfy) - Ntfy is a notification service to send push messages to phones or desktops. Instantly deliver alerts and updates to users, devices, or teams. - [Persona](https://composio.dev/toolkits/persona) - Persona offers identity infrastructure to automate user verification and compliance. It helps organizations securely verify users and reduce fraud risk. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Graphhopper MCP? With a standalone Graphhopper MCP server, the agents and LLMs can only access a fixed set of Graphhopper tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Graphhopper 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 Graphhopper tools. ### Can I manage the permissions and scopes for Graphhopper while using Tool Router? Yes, absolutely. You can configure which Graphhopper 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 Graphhopper data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)