# How to integrate Wolfram alpha api MCP with Mastra AI

```json
{
  "title": "How to integrate Wolfram alpha api MCP with Mastra AI",
  "toolkit": "Wolfram alpha api",
  "toolkit_slug": "wolfram_alpha_api",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/wolfram_alpha_api/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/wolfram_alpha_api/framework/mastra-ai.md",
  "updated_at": "2026-05-12T10:30:27.354Z"
}
```

## Introduction

This guide walks you through connecting Wolfram alpha api to Mastra AI using the Composio tool router. By the end, you'll have a working Wolfram alpha api agent that can solve a complex calculus equation, get current weather in paris, convert 100 usd to euros today through natural language commands.
This guide will help you understand how to give your Mastra AI agent real control over a Wolfram alpha api account through Composio's Wolfram alpha api MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Wolfram alpha api with

- [OpenAI Agents SDK](https://composio.dev/toolkits/wolfram_alpha_api/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/wolfram_alpha_api/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/wolfram_alpha_api/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/wolfram_alpha_api/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/wolfram_alpha_api/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/wolfram_alpha_api/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/wolfram_alpha_api/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/wolfram_alpha_api/framework/cli)
- [Google ADK](https://composio.dev/toolkits/wolfram_alpha_api/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/wolfram_alpha_api/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/wolfram_alpha_api/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/wolfram_alpha_api/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/wolfram_alpha_api/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 Wolfram alpha api tools
- Connect Mastra's MCP client to the Composio generated MCP URL
- Fetch Wolfram alpha api 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 Wolfram alpha api 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 Wolfram alpha api MCP server, and what's possible with it?

The Wolfram alpha api MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Wolfram|Alpha account. It provides structured and secure access to computational knowledge, so your agent can perform actions like running complex calculations, generating data visualizations, retrieving factual information, converting units, and solving equations on your behalf.
- Instant factual queries and lookups: Let your agent fetch reliable answers to questions about science, math, history, geography, and more using Wolfram|Alpha’s expert knowledge base.
- Complex mathematical computations: Have your agent solve equations, compute derivatives or integrals, and process advanced mathematical queries with step-by-step solutions.
- Data analysis and visualization: Request charts, graphs, or plots generated from live data or mathematical functions, all directly through your agent.
- Unit conversions and calculations: Ask your agent to instantly convert units, currencies, or perform engineering calculations for seamless workflow integration.
- Scientific and statistical analysis: Empower your agent to perform statistical tests, analyze datasets, or provide scientific constants and reference data without manual lookup.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `WOLFRAM_ALPHA_API_ASYNC_POD_FETCH` | Async Pod Fetch | Fetch a single asynchronous pod from Wolfram\|Alpha Full Results API. Use this tool to retrieve individual pod computations that were marked as async in a Full Results query. When you query the Full Results API with async=true, pods that take longer to compute return async URLs containing 'id' and 's' tokens. Use those tokens with this tool to fetch the computed pod content. Typical workflow: (1) Query Full Results API with async=true parameter, (2) Parse response for async pod URLs, (3) Extract id and s tokens from URLs like 'asyncPod.jsp?id=MSPa...&s=13', (4) Use this tool with those tokens. |
| `WOLFRAM_ALPHA_API_ESTABLISH_CONNECTION` | Establish Wolfram\|Alpha Connection | Tool to store Wolfram\|Alpha AppID into the connection credential store. Use when establishing or updating your AppID so that subsequent actions automatically include this credential. |
| `WOLFRAM_ALPHA_API_EXTRACT_RECALC_URL_TOKENS` | Extract Recalculate URL & Tokens | Tool to extract the recalculate URL and id/s tokens from full Wolfram\|Alpha results. Use when you need to follow up with recalc.jsp or relatedQueries.jsp calls. |
| `WOLFRAM_ALPHA_API_FULL_RESULTS_RECALCULATE` | Full Results Recalculate | Recalculate a prior WolframAlpha Full Results query to retrieve additional computational results (pods). Use this action when: - A previous Full Results API query timed out or returned incomplete results - You have a recalculate URL or ID token from a previous query - You need to fetch more computational pods from the same query The action requires the 'id' token (obtained from EXTRACT_RECALC_URL_TOKENS or from a Full Results response). The 's' parameter is optional and often not needed. Returns raw XML containing the recalculated query results, which may include additional pods or error information. |
| `WOLFRAM_ALPHA_API_FULL_RESULTS_RELATED_QUERIES` | Full Results Related Queries | Tool to fetch related query suggestions for a previous Full Results computation. Use after obtaining `id` and `s` from a Full Results API response. |
| `WOLFRAM_ALPHA_API_GET_APP_ID` | Get Wolfram\|Alpha AppID | Tool to fetch the Wolfram\|Alpha AppID from credentials. Use when you need to verify the current AppID before making API calls. |
| `WOLFRAM_ALPHA_API_QUERY_LLM_API` | Query LLM API | Tool to query Wolfram\|Alpha LLM API for computed knowledge optimized for large language model consumption. Returns plain text results with query interpretations, computed data, and image URLs. Use when you need comprehensive computational knowledge formatted for AI agent processing. |
| `WOLFRAM_ALPHA_API_QUERY_SUMMARY_BOX` | Query Summary Box | Tool to query the Summary Boxes API for pre-generated XHTML boxes summarizing Wolfram\|Alpha knowledge. Use when you need formatted summary information for subjects like countries, chemicals, dates, or people. Requires a valid summary box path from Query Recognizer API. |
| `WOLFRAM_ALPHA_API_SHORT_ANSWERS_RESULT` | Short Answers Result | Tool to fetch a concise textual answer from Wolfram\|Alpha. Use when you need a short, direct response. |
| `WOLFRAM_ALPHA_API_SPOKEN_RESULTS_RESULT` | Get Spoken Result | Tool to retrieve a spoken-style single-sentence result from Wolfram\|Alpha. Use when you need a concise, conversational answer to a natural-language query. |
| `WOLFRAM_ALPHA_API_VALIDATE_QUERY` | Validate Query | Tool to validate a Wolfram\|Alpha query, returning parsing assumptions and warnings. Use when you need to check query parse before a full computation. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Wolfram alpha api MCP server is an implementation of the Model Context Protocol that connects your AI agent to Wolfram alpha api. It provides structured and secure access so your agent can perform Wolfram alpha api 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 Wolfram alpha api 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 Wolfram alpha api

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "wolfram_alpha_api" for Wolfram alpha api 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: ["wolfram_alpha_api"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Wolfram alpha api 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 Wolfram alpha api 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: "wolfram_alpha_api-mastra-agent",
    instructions: "You are an AI agent with Wolfram alpha api 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 Wolfram alpha api 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: {
        wolfram_alpha_api: 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: ["wolfram_alpha_api"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "wolfram_alpha_api-mastra-agent",
    instructions: "You are an AI agent with Wolfram alpha api 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: { wolfram_alpha_api: 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 Wolfram alpha api 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 Wolfram alpha api MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/wolfram_alpha_api/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/wolfram_alpha_api/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/wolfram_alpha_api/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/wolfram_alpha_api/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/wolfram_alpha_api/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/wolfram_alpha_api/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/wolfram_alpha_api/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/wolfram_alpha_api/framework/cli)
- [Google ADK](https://composio.dev/toolkits/wolfram_alpha_api/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/wolfram_alpha_api/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/wolfram_alpha_api/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/wolfram_alpha_api/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/wolfram_alpha_api/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. It streamlines data collection, monitoring, and repetitive online actions.
- [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows.
- [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations.
- [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. 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. Developers use it to access fresh, low-latency SERP data on demand.
- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. 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 Wolfram alpha api MCP?

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

### Can I manage the permissions and scopes for Wolfram alpha api while using Tool Router?

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)