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EPA Computational Toxicology MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect EPA Computational Toxicology through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "epa-computational-toxicology": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "EPA Computational Toxicology Agent",
    instructions:
      "You help users interact with EPA Computational Toxicology " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with EPA Computational Toxicology?"
  );
  console.log(result.text);
}

main();
EPA Computational Toxicology
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About EPA Computational Toxicology MCP Server

Connect to the US Environmental Protection Agency's (EPA) Center for Computational Toxicology and Exposure (CCTE) and explore a massive repository of chemical data through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and EPA Computational Toxicology tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

What you can do

  • Chemical Search — Find substances by name, CAS Registry Number (CASRN), or DTXSID
  • Physicochemical Properties — Retrieve melting points, boiling points, logP, and water solubility
  • Hazard Assessments — Access toxicity values, NOAELs, and points-of-departure from ToxValDB
  • Exposure Predictions — Explore predicted exposure levels and product use categories via ExpoCast and CPDat
  • Bioactivity Screening — Analyze ToxCast/Tox21 high-throughput screening results for thousands of assays
  • Environmental Fate — Check persistence, transport, and biodegradation metrics

The EPA Computational Toxicology MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect EPA Computational Toxicology to Mastra AI via MCP

Follow these steps to integrate the EPA Computational Toxicology MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from EPA Computational Toxicology via MCP

Why Use Mastra AI with the EPA Computational Toxicology MCP Server

Mastra AI provides unique advantages when paired with EPA Computational Toxicology through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add EPA Computational Toxicology without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every EPA Computational Toxicology tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

EPA Computational Toxicology + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the EPA Computational Toxicology MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query EPA Computational Toxicology, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed EPA Computational Toxicology as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query EPA Computational Toxicology on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using EPA Computational Toxicology tools alongside other MCP servers

EPA Computational Toxicology MCP Tools for Mastra AI (10)

These 10 tools become available when you connect EPA Computational Toxicology to Mastra AI via MCP:

01

get_bioactivity_summary

Retrieve a summary of high-throughput screening results from ToxCast/Tox21 assays

02

get_chemical_details

Get comprehensive metadata and identification details for a specific chemical using its DTXSID

03

get_chemical_lists

Identify which chemical lists (regulatory, research, or commercial) this chemical belongs to

04

get_chemical_synonyms

Retrieve all known synonyms and alternative names for a specific chemical

05

get_exposure_summary

Retrieve predicted exposure levels and product use data (ExpoCast/CPDat)

06

get_fate_and_transport

Retrieve environmental fate and transport data (e.g., half-life, bioconcentration)

07

get_hazard_summary

Retrieve a summary of toxicity values and hazard assessment data from ToxValDB

08

get_physicochemical_properties

Retrieve predicted and experimental physicochemical properties (e.g., melting point, logP, solubility) for a chemical

09

search_chemical_by_casrn

Search for chemicals by their CAS Registry Number (CASRN)

10

search_chemical_by_name

Search for chemicals by common, IUPAC, or synonym names in the EPA CompTox database

Example Prompts for EPA Computational Toxicology in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with EPA Computational Toxicology immediately.

01

"Search for the chemical properties of Bisphenol A."

02

"What is the hazard summary for CAS 80-05-7?"

03

"Find predicted exposure data for DTXSID7020182."

Troubleshooting EPA Computational Toxicology MCP Server with Mastra AI

Common issues when connecting EPA Computational Toxicology to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

EPA Computational Toxicology + Mastra AI FAQ

Common questions about integrating EPA Computational Toxicology MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect EPA Computational Toxicology to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.