# How to integrate Anonyflow MCP with Mastra AI ```json { "title": "How to integrate Anonyflow MCP with Mastra AI", "toolkit": "Anonyflow", "toolkit_slug": "anonyflow", "framework": "Mastra AI", "framework_slug": "mastra-ai", "url": "https://composio.dev/toolkits/anonyflow/framework/mastra-ai", "markdown_url": "https://composio.dev/toolkits/anonyflow/framework/mastra-ai.md", "updated_at": "2026-05-12T10:01:14.414Z" } ``` ## Introduction This guide walks you through connecting Anonyflow to Mastra AI using the Composio tool router. By the end, you'll have a working Anonyflow agent that can anonymize user email addresses before storage, deanonymize a list of encrypted ids, test if anonyflow api is reachable now through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Anonyflow account through Composio's Anonyflow MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Anonyflow with - [OpenAI Agents SDK](https://composio.dev/toolkits/anonyflow/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/anonyflow/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/anonyflow/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/anonyflow/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/anonyflow/framework/codex) - [OpenClaw](https://composio.dev/toolkits/anonyflow/framework/openclaw) - [Hermes](https://composio.dev/toolkits/anonyflow/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/anonyflow/framework/cli) - [Google ADK](https://composio.dev/toolkits/anonyflow/framework/google-adk) - [LangChain](https://composio.dev/toolkits/anonyflow/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/anonyflow/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/anonyflow/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/anonyflow/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 Anonyflow tools - Connect Mastra's MCP client to the Composio generated MCP URL - Fetch Anonyflow 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 Anonyflow 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 Anonyflow MCP server, and what's possible with it? The Anonyflow MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Anonyflow account. It provides structured and secure access to your data privacy tools, so your agent can anonymize values, recover original data, test API connectivity, and ensure compliance with privacy regulations on your behalf. - On-demand data anonymization: Instantly have your agent anonymize sensitive strings or lists of values before storage, sharing, or transmission to protect privacy. - Automated data deanonymization: Let your agent securely recover original values or data packets when needed, using your private key for authorized access only. - API connection health checks: Direct your agent to test and verify connectivity with the Anonyflow API before running critical privacy tasks. - Seamless privacy compliance workflows: Enable your agent to help maintain GDPR, CCPA, and HIPAA compliance by managing anonymization and deanonymization processes at scale. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `ANONYFLOW_ANONYMIZE_PACKET` | Anonymize Packet | Tool to anonymize a JSON data packet with support for partial anonymization. Use when you need to conceal specific fields in structured data. If keys array is empty, the complete data packet will be anonymized. | | `ANONYFLOW_ANONYMIZE_VALUE` | Anonymize Value | Tool to anonymize a string or array of string values. Use when you need to conceal sensitive text before storage or transmission. Example: `AnonymizeValue().execute(AnonymizeValueRequest(data=['secret']))` Limitations: Only supports list of strings, not nested structures. | | `ANONYFLOW_DEANONYMIZE_PACKET` | Deanonymize Packet | Tool to deanonymize a JSON data packet using your private key. Use after receiving an anonymized packet to recover specific fields. | | `ANONYFLOW_DEANONYMIZE_VALUE` | Deanonymize Value | Tool to deanonymize one or more anonymized string values. Use when you need to recover the original plaintext values after encryption-based anonymization. Example: `DeanonymizeValue().execute(DeanonymizeValueRequest(data=[""]))` | | `ANONYFLOW_TEST_CONNECTION` | Test Connection | Tool to test the connection to the AnonyFlow API. Use when verifying that the AnonyFlow service is reachable and operational before performing anonymization tasks. Example: `TestConnection().execute(TestConnectionRequest())` | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Anonyflow MCP server is an implementation of the Model Context Protocol that connects your AI agent to Anonyflow. It provides structured and secure access so your agent can perform Anonyflow 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 Anonyflow 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 Anonyflow What's happening: - create spins up a short-lived MCP HTTP endpoint for this user - The toolkits array contains "anonyflow" for Anonyflow 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: ["anonyflow"], }, ); const composioMCPUrl = session.mcp.url; console.log("Anonyflow 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 Anonyflow 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: "anonyflow-mastra-agent", instructions: "You are an AI agent with Anonyflow 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 Anonyflow 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: { anonyflow: 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: ["anonyflow"], }); const composioMCPUrl = session.mcp.url; const mcpClient = new MCPClient({ id: composioUserID as string, servers: { anonyflow: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); const composioTools = await mcpClient.getTools(); const agent = new Agent({ name: "anonyflow-mastra-agent", instructions: "You are an AI agent with Anonyflow 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: { anonyflow: 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 Anonyflow 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 Anonyflow MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/anonyflow/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/anonyflow/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/anonyflow/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/anonyflow/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/anonyflow/framework/codex) - [OpenClaw](https://composio.dev/toolkits/anonyflow/framework/openclaw) - [Hermes](https://composio.dev/toolkits/anonyflow/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/anonyflow/framework/cli) - [Google ADK](https://composio.dev/toolkits/anonyflow/framework/google-adk) - [LangChain](https://composio.dev/toolkits/anonyflow/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/anonyflow/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/anonyflow/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/anonyflow/framework/crew-ai) ## Related Toolkits - [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. 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It helps streamline how you gather, organize, and analyze responses. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Anonyflow MCP? With a standalone Anonyflow MCP server, the agents and LLMs can only access a fixed set of Anonyflow tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Anonyflow 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 Anonyflow tools. ### Can I manage the permissions and scopes for Anonyflow while using Tool Router? Yes, absolutely. You can configure which Anonyflow 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 Anonyflow data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)