How to Use the EPA Computational Toxicology MCP in Mastra AI
Build resilient chemical research workflows in Mastra AI using the EPA Computational Toxicology MCP server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect EPA Computational Toxicology MCP to Mastra AI
Create your Vinkius account to connect EPA Computational Toxicology to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automated chemical research in Mastra AI
Chain `get_chemical_details` with `get_fate_and_transport` to build multi-step safety analysis workflows. Define your agent logic to branch based on specific hazard results. Mastra handles the retries if the EPA endpoint flickers. You get a stable pipeline for environmental data without writing custom error handling code.
Conditional branching for toxicological data
Use `get_exposure_summary` to trigger alerts in your agent workflows. If predicted exposure exceeds a threshold, your Mastra agent can automatically notify your team. Define clear logic paths for high-risk compounds. The server provides the raw data, and your agent workflow executes the next steps based on your specific safety criteria.
Reliable chemical list auditing in Mastra
Run `get_chemical_lists` to verify regulatory status as part of your automated filing process. Integrate this check into your Mastra agent to ensure compliance before proceeding. Automate the manual chore of checking registered lists. You define the workflow once, and the agent executes the check across thousands of compounds.
Set up EPA Computational Toxicology MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All EPA Computational Toxicology tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "epa-computational-toxicology-mcp-client",
servers: {
"epa-computational-toxicology-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "EPA Computational Toxicology Agent",
model: openai("gpt-4o"),
instructions: "You have access to EPA Computational Toxicology tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent EPA Computational Toxicology transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by US EPA CompTox. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about EPA Computational Toxicology MCP in Mastra AI
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