EPA Computational Toxicology MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect EPA Computational Toxicology through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="EPA Computational Toxicology Assistant",
instructions=(
"You help users interact with EPA Computational Toxicology. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from EPA Computational Toxicology"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 10 tools from EPA Computational Toxicology through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries EPA Computational Toxicology, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the EPA Computational Toxicology MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from EPA Computational Toxicology
Why Use OpenAI Agents SDK with the EPA Computational Toxicology MCP Server
OpenAI Agents SDK provides unique advantages when paired with EPA Computational Toxicology through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
EPA Computational Toxicology + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the EPA Computational Toxicology MCP Server delivers measurable value.
Automated workflows: build agents that query EPA Computational Toxicology, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries EPA Computational Toxicology, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through EPA Computational Toxicology tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query EPA Computational Toxicology to resolve tickets, look up records, and update statuses without human intervention
EPA Computational Toxicology MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect EPA Computational Toxicology to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting EPA Computational Toxicology to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
EPA Computational Toxicology + OpenAI Agents SDK FAQ
Common questions about integrating EPA Computational Toxicology MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect EPA Computational Toxicology with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Purpose-built IDE for agentic AI coding workflows.
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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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.