# How to integrate Wolfram alpha api MCP with Google ADK

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

## Introduction

This guide walks you through connecting Wolfram alpha api to Google ADK 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 Google ADK 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)
- [LangChain](https://composio.dev/toolkits/wolfram_alpha_api/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/wolfram_alpha_api/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/wolfram_alpha_api/framework/mastra-ai)
- [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:
- Get a Wolfram alpha api account set up and connected to Composio
- Install the Google ADK and Composio packages
- Create a Composio Tool Router session for Wolfram alpha api
- Build an agent that connects to Wolfram alpha api through MCP
- Interact with Wolfram alpha api using natural language

## What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.
Key features include:
- Gemini Integration: Native support for Google's Gemini models
- MCP Toolset: Built-in support for Model Context Protocol tools
- Streamable HTTP: Connect to external services through streamable HTTP
- CLI and Web UI: Run agents via command line or web interface

## 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:
- A Google API key for Gemini models
- A Composio account and API key
- Python 3.9 or later installed
- Basic familiarity with Python

### 1. Getting API Keys for Google and Composio

Google API Key
- Go to [Google AI Studio](https://aistudio.google.com/app/apikey) and create an API key.
- Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.
Composio API Key and User ID
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
- Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.

### 2. Install dependencies

Inside your virtual environment, install the required packages.
What's happening:
- google-adk is Google's Agents Development Kit
- composio connects your agent to Wolfram alpha api via MCP
- python-dotenv loads environment variables
```bash
pip install google-adk composio python-dotenv
```

### 3. Set up ADK project

Set up a new Google ADK project.
What's happening:
- This creates an agent folder with a root agent file and .env file
```bash
adk create my_agent
```

### 4. Set environment variables

Save all your credentials in the .env file.
What's happening:
- GOOGLE_API_KEY authenticates with Google's Gemini models
- COMPOSIO_API_KEY authenticates with Composio
- COMPOSIO_USER_ID identifies the user for session management
```bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email
```

### 5. Import modules and validate environment

What's happening:
- os reads environment variables
- Composio is the main Composio SDK client
- GoogleProvider declares that you are using Google ADK as the agent runtime
- Agent is the Google ADK LLM agent class
- McpToolset lets the ADK agent call MCP tools over HTTP
```python
import os
import warnings

from composio import Composio
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")
```

### 6. Create Composio client and Tool Router session

What's happening:
- Authenticates to Composio with your API key
- Declares Google ADK as the provider
- Spins up a short-lived MCP endpoint for your user and selected toolkit
- Stores the MCP HTTP URL for the ADK MCP integration
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["wolfram_alpha_api"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url,
print(f"Composio MCP URL: {COMPOSIO_MCP_URL}")
```

### 7. Set up the McpToolset and create the Agent

What's happening:
- Connects the ADK agent to the Composio MCP endpoint through McpToolset
- Uses Gemini as the model powering the agent
- Lists exact tool names in instruction to reduce misnamed tool calls
```python
composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Wolfram alpha api operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
```

### 8. Run the agent

Execute the agent from the project root. The web command opens a web portal where you can chat with the agent.
What's happening:
- adk run runs the agent in CLI mode
- adk web . opens a web UI for interactive testing
```bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web
```

## Complete Code

```python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()
warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["wolfram_alpha_api"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url


composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": COMPOSIO_API_KEY}
    )
)

root_agent = Agent(
    model="gemini-2.5-flash",
    name="composio_agent",
    description="An agent that uses Composio tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Wolfram alpha api operations."
    ),  
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
```

## Conclusion

You've successfully integrated Wolfram alpha api with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Wolfram alpha api using natural language commands.
Key takeaways:
- The Tool Router approach dynamically routes requests to the appropriate Wolfram alpha api tools
- Environment variables keep your credentials secure and separate from code
- Clear agent instructions reduce tool calling errors
- The ADK web UI provides an interactive interface for testing and development
You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

## 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)
- [LangChain](https://composio.dev/toolkits/wolfram_alpha_api/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/wolfram_alpha_api/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/wolfram_alpha_api/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/wolfram_alpha_api/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/wolfram_alpha_api/framework/crew-ai)

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- [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.
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- [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.
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- [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 Google ADK?

Yes, you can. Google ADK 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.

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