EPA Computational Toxicology MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect EPA Computational Toxicology through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using EPA Computational Toxicology, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every EPA Computational Toxicology tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the EPA Computational Toxicology MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from EPA Computational Toxicology and passes them to the LLM
Why Use Vercel AI SDK with the EPA Computational Toxicology MCP Server
Vercel AI SDK provides unique advantages when paired with EPA Computational Toxicology through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same EPA Computational Toxicology integration everywhere
Built-in streaming UI primitives let you display EPA Computational Toxicology tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
EPA Computational Toxicology + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the EPA Computational Toxicology MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query EPA Computational Toxicology in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate EPA Computational Toxicology tools and return structured JSON responses to any frontend
Chatbots with tool use: embed EPA Computational Toxicology capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with EPA Computational Toxicology through natural language queries
EPA Computational Toxicology MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect EPA Computational Toxicology to Vercel AI SDK via MCP:
get_bioactivity_summary
Retrieve a summary of high-throughput screening results from ToxCast/Tox21 assays
get_chemical_details
Get comprehensive metadata and identification details for a specific chemical using its DTXSID
get_chemical_lists
Identify which chemical lists (regulatory, research, or commercial) this chemical belongs to
get_chemical_synonyms
Retrieve all known synonyms and alternative names for a specific chemical
get_exposure_summary
Retrieve predicted exposure levels and product use data (ExpoCast/CPDat)
get_fate_and_transport
Retrieve environmental fate and transport data (e.g., half-life, bioconcentration)
get_hazard_summary
Retrieve a summary of toxicity values and hazard assessment data from ToxValDB
get_physicochemical_properties
Retrieve predicted and experimental physicochemical properties (e.g., melting point, logP, solubility) for a chemical
search_chemical_by_casrn
Search for chemicals by their CAS Registry Number (CASRN)
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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with EPA Computational Toxicology immediately.
"Search for the chemical properties of Bisphenol A."
"What is the hazard summary for CAS 80-05-7?"
"Find predicted exposure data for DTXSID7020182."
Troubleshooting EPA Computational Toxicology MCP Server with Vercel AI SDK
Common issues when connecting EPA Computational Toxicology to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEPA Computational Toxicology + Vercel AI SDK FAQ
Common questions about integrating EPA Computational Toxicology MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect EPA Computational Toxicology with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect EPA Computational Toxicology to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.