How to Use the GenBank/NCBI API MCP in OpenAI Agents SDK

Q: How do I start searching the GenBank/NCBI API with the OpenAI Agents SDK?

First, pip install openai-agents. Then, point the MCPServerStreamableHttp client at your Vinkius URL and pass it to your agent. The agent automatically discovers the searchncbisequences tool and is ready for your queries.

Q: Can my agent check if the NCBI API is down?

Yes. The checkapistatus tool is exposed to your agent. You can build logic where the agent verifies the service is operational before attempting a large batch of searches.

Q: How does the agent get details for a specific sequence ID?

After using searchncbisequences to find a UID, the agent can then call getncbisummary with that ID. This returns key information without needing to download the entire sequence file.

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Connect GenBank/NCBI API MCP to OpenAI Agents SDK

Create your Vinkius account to connect GenBank/NCBI API to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GenBank/NCBI API with OpenAI Agents SDK

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Find All NCBI Endpoints Instantly

Connect your agent using the `MCPServerStreamableHttp` class and it immediately discovers all available tools. There's no need to manually define functions for `search_ncbi_sequences` or `get_ncbi_summary`. Your agent just knows how to interact with the GenBank API from the start. This MCP Server handles the protocol and discovery, so you can focus on the agent's logic, not the boilerplate.

Run Guarded Bio-Sequence Queries

The OpenAI Agents SDK lets you add guardrails that check an agent's proposed actions before they run. This is critical when working with external APIs. You can inspect the parameters for a `search_ncbi_sequences` call before it's made. This means you can prevent poorly formed or overly broad queries from ever hitting the NCBI servers. It gives you a safety layer, ensuring your autonomous agent operates within the bounds you set.

Trace Every OpenAI Agent Action

Every call your agent makes to this server is fully observable in the OpenAI platform's tracing dashboard. You'll see the exact inputs and outputs for every tool use, from a simple `check_api_status` to a complex search. Forget about guessing what your agent did. If a workflow fails, you have a complete record of the interaction with the NCBI API. Debugging becomes a matter of reading logs, not running experiments.

Setup guide

Set up GenBank/NCBI API MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all GenBank/NCBI API tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives GenBank/NCBI API tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate GenBank/NCBI API tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="GenBank/NCBI API Agent",
            instructions="You have access to GenBank/NCBI API tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GenBank/NCBI. 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 GenBank/NCBI API MCP in OpenAI Agents SDK

First, `pip install openai-agents`. Then, point the `MCPServerStreamableHttp` client at your Vinkius URL and pass it to your agent. The agent automatically discovers the `search_ncbi_sequences` tool and is ready for your queries.

Yes. The `check_api_status` tool is exposed to your agent. You can build logic where the agent verifies the service is operational before attempting a large batch of searches.

You'd handle this with a guardrail function. Before executing a tool call, inspect the tool's name. If it's `get_ncbi_summary`, you can reject the action and instruct the agent to proceed differently.

After using `search_ncbi_sequences` to find a UID, the agent can then call `get_ncbi_summary` with that ID. This returns key information without needing to download the entire sequence file.

Only the data needed for the specific tool call is transmitted. This includes search terms, database names, and sequence UIDs. Vinkius secures the transport, but you should never use Protected Health Information (PHI) as a query term.

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