How to integrate Faraday MCP with Mastra AI

This guide walks you through connecting Faraday to Mastra AI using the Composio tool router. By the end, you'll have a working Faraday agent that can enrich salesforce leads with predictive insights, automate email categorization using faraday ai, trigger customer follow-up based on faraday scores through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Faraday account through Composio's Faraday MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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117 Tools

Introduction

This guide walks you through connecting Faraday to Mastra AI using the Composio tool router. By the end, you'll have a working Faraday agent that can enrich salesforce leads with predictive insights, automate email categorization using faraday ai, trigger customer follow-up based on faraday scores through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Faraday account through Composio's Faraday MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Faraday with

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 Faraday tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Faraday 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 Faraday 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 Faraday MCP server, and what's possible with it?

The Faraday MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Faraday account. It provides structured and secure access so your agent can perform Faraday operations on your behalf.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
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
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Faraday through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

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
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

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
5

Import libraries and validate environment

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,
});
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
6

Create a Tool Router session for Faraday

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["faraday"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Faraday MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "faraday" for Faraday access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

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);
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 Faraday toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "faraday-mastra-agent",
    instructions: "You are an AI agent with Faraday tools via Composio.",
    model: "openai/gpt-5",
  });
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
9

Set up interactive chat interface

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: {
        faraday: 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);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Faraday 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

Complete Code

Here's the complete code to get you started with Faraday and Mastra AI:

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: ["faraday"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      faraday: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "faraday-mastra-agent",
    instructions: "You are an AI agent with Faraday 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: { faraday: 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 Faraday 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
TOOLS

Supported Tools

Every Faraday action and event your agent gets out of the box.

Archive Cohort

Tool to archive a cohort in Faraday.

Archive Connection

Tool to archive a connection in Faraday.

Archive Dataset

Tool to archive a dataset in Faraday.

Archive Outcome

Tool to archive an outcome in Faraday.

Archive Persona Set

Tool to archive a persona set in Faraday.

Archive Place

Tool to archive a place in Faraday.

Archive Scope

Tool to archive a scope in Faraday.

Archive Stream

Tool to archive a stream in Faraday.

Archive Target

Tool to archive a target in Faraday.

Archive Trait

Tool to archive a trait in Faraday.

Create Account

Tool to create a new Faraday account with specified name and branding.

Create Cohorts

Tool to create a new cohort in Faraday.

Create Dataset

Tool to create a new dataset in Faraday.

Create Outcome

Tool to create a new outcome.

Create Persona Set

Tool to create a new persona set.

Create Place

Tool to create a new place in Faraday.

Create Scope

Tool to create a new scope in Faraday.

Create Stream

Tool to create a new stream or find an existing stream by name.

Create Target Preview

Tool to start a preview delivery for a target.

Create Target

Tool to create a target in Faraday.

Create Trait

Tool to create a new trait in Faraday.

Create Webhook Endpoint

Tool to create a new webhook endpoint.

Delete Account

Tool to delete an account by its UUID.

Delete All Orphaned Traits

Tool to delete all orphaned traits from Faraday.

Delete Cohort

Tool to permanently delete a cohort from Faraday.

Delete Connection

Tool to delete a Faraday connection by its UUID.

Delete Dataset

Tool to delete a dataset from Faraday.

Delete Outcome

Tool to delete an outcome by its UUID.

Delete Persona Set

Tool to delete a persona set.

Delete Place

Tool to delete a place by its UUID.

Delete Scope

Tool to delete a scope by its UUID.

Delete Stream

Tool to delete a stream by its UUID or name.

Delete Target

Tool to delete a target by its UUID.

Delete Upload

Permanently deletes a file from a Faraday dataset directory.

Delete Webhook Endpoint

Tool to delete a webhook endpoint by its UUID.

Force Update Cohort

Tool to trigger a rerun for a cohort.

Force Update Connection

Tool to trigger a rerun for a Faraday connection.

Force Update Dataset

Tool to trigger a rerun for a dataset.

Force Update Outcome

Tool to trigger a rerun for an outcome resource.

Force Update Persona Set

Tool to trigger a rerun for a persona set resource.

Force Update Place

Tool to trigger a rerun for a place.

Force Update Scope

Tool to trigger a rerun for a scope resource.

Force Update Stream

Tool to trigger a rerun for a stream.

Force Update Target

Tool to trigger a rerun for a target.

Force Update Trait

Tool to trigger a rerun for a trait.

Get Account

Tool to retrieve detailed information about a Faraday account by its UUID.

List Accounts

Tool to list all Faraday accounts accessible by the current user.

Get Accounts Billing

Tool to get billing information about your account.

Get Cohort

Tool to retrieve a specific cohort by ID.

Get Cohort Membership Analysis

Tool to get cohort membership counts over time for a specific cohort.

List Cohorts

Tool to list all cohorts in your Faraday account.

Get Connection Datasets

Tool to retrieve all datasets that use a specific connection.

Get Connection Targets

Tool to retrieve all targets that use a specific connection.

Get Current Account

Tool to retrieve the current account information.

Get Current Account Billing

Tool to retrieve billing information about the current account.

Get Dataset

Tool to retrieve a dataset by its UUID.

Get Dataset Ingress Logs

Tool to retrieve dataset ingress metrics over time.

List Feature Stores

Tool to list all feature stores.

Get Dependency Graph

Tool to retrieve the complete dependency graph for all resources on an account.

Get Market Opportunity Analyses

Tool to retrieve all market opportunity analyses from Faraday.

Get Outcome

Tool to retrieve an outcome by its ID.

List Outcomes

Tool to list all outcomes for the account.

Get Persona Set

Tool to retrieve a persona set by its UUID.

Get Persona Set Analysis Flow

Tool to retrieve the flow of persona sets over time, showing how individuals move between different personas.

List Persona Sets

Tool to list all persona sets.

Get Persona Set Analysis Dimensions

Tool to get various trait breakdown information about a persona set.

Get Place

Tool to retrieve a specific place by its UUID.

List Places

Tool to list all places in Faraday.

List Recommenders

Tool to list all recommenders.

Get Scope

Tool to retrieve detailed information about a Faraday scope by its UUID.

Get Scope Analysis

Tool to get analysis for a scope including outcomes and recommenders with probability distributions.

Get Scope Datasets

Tool to retrieve all datasets associated with a Faraday scope.

Get Scope Efficacy

Tool to retrieve efficacy metrics for a scope.

Get Scope Payload Cohorts

Tool to get payload cohorts for a specific scope.

Get Scope Payload Outcomes

Tool to retrieve payload outcomes for a specific scope.

Get Scope Payload Persona Sets

Tool to get payload persona sets for a specific scope.

Get Scope Payload Recommenders

Tool to retrieve payload recommenders for a specific scope.

Get Scope Population Exclusion Cohorts

Tool to get population exclusion cohorts for a scope.

Get Scope Population Cohorts

Tool to get population cohorts for a specific scope.

Get Scope Targets

Tool to get all targets for a specific scope.

Get Stream

Tool to retrieve a stream by its UUID or name.

List Streams

Tool to list all streams in your Faraday account.

Get Streams Analysis

Tool to get the count of stream events emitted over a time period.

Get Target

Tool to retrieve a specific target by its UUID from Faraday.

Get Target Analysis

Tool to retrieve a target's analysis including geographic distributions and trait breakdowns.

Get Trait

Tool to retrieve a specific trait by ID.

Get Trait Analysis Dimensions

Tool to retrieve the percentage of the US population that falls into each category of a trait.

Get Traits CSV

Tool to retrieve all user-defined and Faraday-provided traits in CSV format.

Get Upload

Tool to download a previously uploaded file from a Faraday dataset directory.

List Uploaded Files

Tool to retrieve the list of previously uploaded files in Faraday.

Get Usages

Tool to retrieve usage statistics for your Faraday account.

Get Webhook Endpoint

Tool to retrieve a webhook endpoint by its UUID.

List Webhook Endpoints

Tool to list all webhook endpoints configured for the account.

List Attributes

Tool to list all attributes in the feature store.

List Connections

Tool to list all connections configured in Faraday.

List Scopes

Tool to list all scopes.

List Targets

Tool to list all targets in your Faraday account.

Unarchive Cohort

Tool to unarchive a previously archived cohort.

Unarchive Dataset

Tool to unarchive a dataset in Faraday.

Unarchive Outcome

Tool to unarchive an outcome in Faraday.

Unarchive Persona Set

Tool to unarchive a previously archived persona set.

Unarchive Place

Tool to unarchive a previously archived place.

Unarchive Scope

Tool to unarchive a previously archived scope.

Unarchive Stream

Tool to unarchive a stream in Faraday.

Unarchive Trait

Tool to unarchive a trait.

Update Account

Tool to update an account's name or branding settings.

Update Cohort

Tool to update a cohort's configuration using JSON Merge Patch semantics.

Update Connection

Tool to update a Faraday connection's name or options.

Update Dataset

Tool to update a dataset configuration using JSON Merge Patch semantics.

Update Outcome

Tool to update an outcome's configuration using JSON Merge Patch semantics.

Update Persona Set

Tool to edit a persona set's configuration using JSON Merge Patch.

Update Place

Tool to update a place's name, addresses, or geojson geometry.

Update Scope

Tool to update a Faraday scope's configuration using JSON Merge Patch semantics.

Update Stream

Tool to update a stream's properties using JSON Merge Patch semantics.

Update Target

Tool to update a target's configuration in Faraday.

Update Trait

Tool to update a trait's properties using JSON Merge Patch semantics.

Update Webhook Endpoint

Tool to update a webhook endpoint's configuration.

FAQ

Frequently asked questions

With a standalone Faraday MCP server, the agents and LLMs can only access a fixed set of Faraday tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Faraday and many other apps based on the task at hand, all through a single MCP endpoint.

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 Faraday tools.

Yes, absolutely. You can configure which Faraday 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.

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 Faraday data and credentials are handled as safely as possible.

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