# How to integrate Genderapi io MCP with Mastra AI ```json { "title": "How to integrate Genderapi io MCP with Mastra AI", "toolkit": "Genderapi io", "toolkit_slug": "genderapi_io", "framework": "Mastra AI", "framework_slug": "mastra-ai", "url": "https://composio.dev/toolkits/genderapi_io/framework/mastra-ai", "markdown_url": "https://composio.dev/toolkits/genderapi_io/framework/mastra-ai.md", "updated_at": "2026-05-12T10:12:41.925Z" } ``` ## Introduction This guide walks you through connecting Genderapi io to Mastra AI using the Composio tool router. By the end, you'll have a working Genderapi io agent that can determine gender from a customer email address, infer gender based on a given username, get gender prediction for full names in a csv through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Genderapi io account through Composio's Genderapi io MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Genderapi io with - [OpenAI Agents SDK](https://composio.dev/toolkits/genderapi_io/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/genderapi_io/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/genderapi_io/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/genderapi_io/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/genderapi_io/framework/codex) - [OpenClaw](https://composio.dev/toolkits/genderapi_io/framework/openclaw) - [Hermes](https://composio.dev/toolkits/genderapi_io/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/genderapi_io/framework/cli) - [Google ADK](https://composio.dev/toolkits/genderapi_io/framework/google-adk) - [LangChain](https://composio.dev/toolkits/genderapi_io/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/genderapi_io/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/genderapi_io/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/genderapi_io/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 Genderapi io tools - Connect Mastra's MCP client to the Composio generated MCP URL - Fetch Genderapi io 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 Genderapi io 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 Genderapi io MCP server, and what's possible with it? The Genderapi io MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Genderapi io account. It provides structured and secure access to gender identification services, so your agent can perform actions like inferring gender from names, emails, or usernames, checking usage statistics, and validating API errors on your behalf. - Gender inference from first names: Your agent can determine the likely gender associated with a given first name, supporting localization for more accurate results. - Gender prediction from email addresses: Easily infer gender from a provided email address, enabling smart personalization workflows after obtaining proper consent. - Analyze usernames and full names for gender: Let your agent deduce gender from usernames, nicknames, or full names—even when only partial information is available. - Account usage and API credit monitoring: Check remaining GenderAPI.io credits and expiry dates so you never run out of quota unexpectedly. - Comprehensive error code listing: Retrieve and understand all possible API error codes to streamline debugging and ensure robust integrations. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `GENDERAPI_IO_GENDERAPI_GET_STATS` | Gender API Get Statistics | Tool to retrieve account usage statistics from GenderAPI.io. Use when you need to check remaining API credits and expiry. | | `GENDERAPI_IO_GENDER_API_QUERY_BY_FIRST_NAME` | Query Gender by First Name | Tool to determine gender by querying first name. Use when you need to infer likely gender for a given name with optional localization hints. | | `GENDERAPI_IO_GET_GENDER_FROM_USERNAME` | Get Gender from Username | Tool to determine gender from a username or nickname. Use when you have an alias or handle and want to infer gender from that identifier. | | `GENDERAPI_IO_LIST_ERROR_CODES` | List Gender API Error Codes | Tool to list all possible error codes returned by Gender API. Use when debugging or validating API responses. | | `GENDERAPI_IO_QUERY_BY_EMAIL_ADDRESS` | Query gender by email address | Tool to determine gender from an email address. Use when you need to infer gender for personalization after obtaining proper consent. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Genderapi io MCP server is an implementation of the Model Context Protocol that connects your AI agent to Genderapi io. It provides structured and secure access so your agent can perform Genderapi io 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 Genderapi io 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 Genderapi io What's happening: - create spins up a short-lived MCP HTTP endpoint for this user - The toolkits array contains "genderapi_io" for Genderapi io 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: ["genderapi_io"], }, ); const composioMCPUrl = session.mcp.url; console.log("Genderapi io 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 Genderapi io 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: "genderapi_io-mastra-agent", instructions: "You are an AI agent with Genderapi io 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 Genderapi io 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: { genderapi_io: 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: ["genderapi_io"], }); const composioMCPUrl = session.mcp.url; const mcpClient = new MCPClient({ id: composioUserID as string, servers: { genderapi_io: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); const composioTools = await mcpClient.getTools(); const agent = new Agent({ name: "genderapi_io-mastra-agent", instructions: "You are an AI agent with Genderapi io 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: { genderapi_io: 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 Genderapi io 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 Genderapi io MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/genderapi_io/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/genderapi_io/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/genderapi_io/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/genderapi_io/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/genderapi_io/framework/codex) - [OpenClaw](https://composio.dev/toolkits/genderapi_io/framework/openclaw) - [Hermes](https://composio.dev/toolkits/genderapi_io/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/genderapi_io/framework/cli) - [Google ADK](https://composio.dev/toolkits/genderapi_io/framework/google-adk) - [LangChain](https://composio.dev/toolkits/genderapi_io/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/genderapi_io/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/genderapi_io/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/genderapi_io/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. 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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. 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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 Genderapi io MCP? With a standalone Genderapi io MCP server, the agents and LLMs can only access a fixed set of Genderapi io tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Genderapi io 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 Genderapi io tools. ### Can I manage the permissions and scopes for Genderapi io while using Tool Router? Yes, absolutely. You can configure which Genderapi io 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 Genderapi io data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)