How to integrate Alchemy MCP with Mastra AI

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Introduction

This guide walks you through connecting Alchemy to Mastra AI using the Composio tool router. By the end, you'll have a working Alchemy agent that can show all nfts owned by this wallet, get recent sales for a specific nft collection, check erc20 token balances for your address through natural language commands.

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

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

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

The Alchemy MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Alchemy account. It provides structured and secure access to your blockchain data, so your agent can perform actions like fetching NFT metadata, tracking token balances, analyzing transaction history, and managing Ethereum assets on your behalf.

  • Retrieve NFT contract and token metadata: Instantly access detailed information about any NFT collection or token, including name, symbol, supply, and contract deployer.
  • Analyze NFT sales and ownership: Let your agent fetch historical NFT sales across marketplaces and list current owners for any ERC-721 or ERC-1155 token.
  • Track token balances and portfolio: Effortlessly check ERC-20 token balances for any Ethereum address to monitor holdings or build portfolio analytics.
  • List NFTs within a collection: Pull a complete list of NFTs under a specific contract to explore, display, or analyze full collections.
  • Monitor transaction counts and activity: Quickly get the transaction count (nonce) for any Ethereum address to understand activity or prepare for new transactions.

Supported Tools & Triggers

Tools
Compute NFT RarityTool to compute the rarity of each attribute for a specific NFT based on its collection.
Get NFT Collection MetadataTool to get metadata for an NFT collection using its marketplace slug (OpenSea, LooksRare, etc).
Get Collections for OwnerTool to retrieve all NFT collections held by a specified owner address.
Get Contract Metadata Batch V3Tool to retrieve metadata for multiple NFT contracts in a single batch request.
Get Contract Metadata V3Tool to get the metadata for an NFT contract including name, symbol, total supply, and token type (ERC721/ERC1155).
Get Contracts for Owner (NFT API v3)Tool to get all NFT contracts owned by an address with contract metadata.
Get NFT Floor PriceTool to get the floor price for an NFT collection across multiple marketplaces (OpenSea, LooksRare, etc).
Get Historical Token PricesRetrieves historical price data for a token over a specified time range with configurable intervals.
Get NFT Contracts By AddressTool to retrieve NFT contracts associated with one or more wallet addresses across multiple blockchain networks.
Get NFT MetadataTool to retrieve comprehensive metadata for a specific NFT, including contract details, media URLs, attributes, ownership info, and OpenSea data.
Get NFT Metadata BatchTool to retrieve metadata for multiple NFTs in a single request (up to 100 NFTs), including contract details, media URLs, attributes, and collection data.
Get NFT Sales V3Retrieves NFT sales that have occurred through on-chain marketplaces using Alchemy's v3 API.
Get NFTs for Collection V3Retrieves all NFTs in a collection using OpenSea collection slug or contract address.
Get NFTs for ContractRetrieves all NFTs for a given NFT contract address.
Get NFTs for OwnerTool to get all NFTs currently owned by a given address.
Get Owners for CollectionTool to retrieve all owner addresses for a given NFT collection contract.
Get Owners for ContractTool to get all owners of NFTs in a contract with optional token balances.
Get NFT Owners (v3)Tool to retrieve all owners for a specific NFT using Alchemy's v3 API.
Get Portfolio NFTs By AddressTool to fetch NFTs owned by multiple wallet addresses across different blockchain networks.
Get Token Prices By SymbolTool to get current token prices by symbol (e.
Get Token BalancesThis tool retrieves ERC20 token balances for a specified Ethereum address.
Get Token Balances By AddressTool to get token balances for wallet addresses across multiple networks using Alchemy's Portfolio API.
Get Token MetadataRetrieves metadata for an ERC-20 token on Ethereum mainnet, including its name, symbol, decimals, and logo URL.
Get Token Prices By AddressRetrieves current token prices by contract address and network from decentralized exchanges (DEXes).
Get Tokens By AddressTool to fetch fungible tokens (native, ERC-20, SPL) for multiple wallet addresses across networks.
Get Transaction CountThis tool retrieves the number of transactions sent from a specific address (also known as the nonce).
Get Transactions History By AddressTool to get transaction history for wallet addresses across multiple networks using Alchemy's Data API.
Invalidate NFT Contract CacheTool to invalidate the cached metadata for an NFT contract.
Check If NFT Is AirdropTool to check if a specific NFT token is marked as an airdrop.
Check If NFT Is AirdropTool to determine whether an NFT was airdropped to the owner address.
Check Collection OwnershipTool to check if a wallet address owns any token from a specific NFT collection.
Check NFT Holder StatusTool to check if a wallet address holds any NFTs from a specific contract.
Check if Contract is SpamTool to check if an NFT contract is marked as spam by Alchemy.
Check if Contract is Spam (V3)Tool to determine if a specific NFT contract is marked as spam by Alchemy.
Search NFT Contract MetadataTool to search for keywords across metadata of all ERC-721 and ERC-1155 smart contracts.
Summarize NFT AttributesRetrieves a comprehensive summary of all attributes and traits for NFTs in a collection, including trait counts and distribution statistics.

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

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

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 Alchemy through MCP.

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

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

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

Create a Tool Router session for Alchemy

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

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

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 Alchemy toolkit

Create the Mastra agent

typescript
const agent = new Agent({
    name: "alchemy-mastra-agent",
    instructions: "You are an AI agent with Alchemy 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

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: {
        alchemy: 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 Alchemy 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 Alchemy 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: ["alchemy"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "alchemy-mastra-agent",
    instructions: "You are an AI agent with Alchemy 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: { alchemy: 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 Alchemy 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 Alchemy MCP Agent with another framework

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Use Alchemy MCP with Claude Agent SDK

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OpenClaw logo

OpenClaw

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Hermes logo

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Use Alchemy MCP with Hermes

CLI logo

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Vercel AI SDK logo

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Use Alchemy MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Alchemy MCP with LlamaIndex

CrewAI logo

CrewAI

Use Alchemy MCP with CrewAI

FAQ

What are the differences in Tool Router MCP and Alchemy MCP?

With a standalone Alchemy MCP server, the agents and LLMs can only access a fixed set of Alchemy tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Alchemy 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 Alchemy tools.

Can I manage the permissions and scopes for Alchemy while using Tool Router?

Yes, absolutely. You can configure which Alchemy 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 Alchemy data and credentials are handled as safely as possible.

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