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PubChem MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect PubChem through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
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="PubChem Assistant",
            instructions=(
                "You help users interact with PubChem. "
                "You have access to 3 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from PubChem"
        )
        print(result.final_output)

asyncio.run(main())
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About PubChem MCP Server

Connect your AI agent to PubChem — the world's largest open chemistry database, maintained by the National Center for Biotechnology Information (NCBI/NIH).

The OpenAI Agents SDK auto-discovers all 3 tools from PubChem through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries PubChem, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Compound Search — Find chemical compounds by common name (aspirin, caffeine, glucose), IUPAC name, or CAS number across 116M+ indexed compounds
  • CID Lookup — Get comprehensive molecular data for any compound by its PubChem Compound ID including formula, weight, SMILES, InChI, and physicochemical properties
  • Formula Search — Find all compounds matching a specific molecular formula (e.g., C9H8O4 for aspirin)

The PubChem MCP Server exposes 3 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 PubChem to OpenAI Agents SDK via MCP

Follow these steps to integrate the PubChem MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 3 tools from PubChem

Why Use OpenAI Agents SDK with the PubChem MCP Server

OpenAI Agents SDK provides unique advantages when paired with PubChem through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

PubChem + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the PubChem MCP Server delivers measurable value.

01

Automated workflows: build agents that query PubChem, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries PubChem, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through PubChem tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query PubChem to resolve tickets, look up records, and update statuses without human intervention

PubChem MCP Tools for OpenAI Agents SDK (3)

These 3 tools become available when you connect PubChem to OpenAI Agents SDK via MCP:

01

get_pubchem_compound

Get full chemical data for a PubChem compound by CID

02

search_pubchem

Returns molecular formula, weight, SMILES, InChI, XLogP, hydrogen bond donors/acceptors, and complexity. Try: aspirin, caffeine, glucose, penicillin, dopamine. Search PubChem for chemical compounds by name

03

search_pubchem_formula

g. C9H8O4, C8H10N4O2, H2O) and find matching compounds. Find compounds by molecular formula

Example Prompts for PubChem in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with PubChem immediately.

01

"What are the molecular properties of aspirin?"

02

"Search for compounds with the molecular formula C8H10N4O2."

03

"Get the full chemical details for PubChem compound CID 5090."

Troubleshooting PubChem MCP Server with OpenAI Agents SDK

Common issues when connecting PubChem to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

PubChem + OpenAI Agents SDK FAQ

Common questions about integrating PubChem MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect PubChem to OpenAI Agents SDK

Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.