How to Use the Xeno-canto MCP in OpenAI Agents SDK

Q: How do I find specific bird sound metadata with Xeno-canto using the OpenAI Agents SDK?

Call searchrecordings and pass in the necessary parameters like species name or country code. The agent processes this single tool call, returning a structured result set for you to use immediately.

Get structured bird sound data into production agents using the OpenAI Agents SDK.

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Connect Xeno-canto MCP to OpenAI Agents SDK

Create your Vinkius account to connect Xeno-canto 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 Xeno-canto with OpenAI Agents SDK

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Build Production Search Flows

You can use `search_recordings` to pinpoint recordings for specific areas or species. The agent handles location parameters like genus (`g`) and country (`cnt`), making the search repeatable. Because this is a production system, guardrails validate every call to `search_recordings`. You know exactly what data you're getting before your workflow proceeds.

Trace Tool Usage

Every interaction with the MCP Server gets traced in the OpenAI dashboard. If an agent uses `search_recordings` multiple times, you can see the full sequence of calls and parameters used. This tracing is key for debugging complex multi-step tasks. You don't just get an answer; you get a documented path to that answer.

Complex Parameter Handling

The `search_recordings` tool accepts many specific parameters—like the target species (`turdus`) or general location codes. Your agent can build sophisticated calls using multiple inputs. It’s designed for agents that need to combine data points, like finding recordings in France (`france`) from a particular genus.

Setup guide

Set up Xeno-canto 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 Xeno-canto tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Xeno-canto tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Xeno-canto 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="Xeno-canto Agent",
            instructions="You have access to Xeno-canto tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Xeno-canto MCP in OpenAI Agents SDK

Call `search_recordings` and pass in the necessary parameters like species name or country code. The agent processes this single tool call, returning a structured result set for you to use immediately.

Yep. Since it's built for production agents, your system can chain calls. You might first call `search_recordings` to narrow down a region, and then pass those results into another specialized agent.

The server touches bird sound recording metadata. Specifically, it processes parameters for genus, country, and species to locate recordings.

Absolutely. The tool allows you to define location via multiple codes—you can specify both a general area (`g`) and a specific country (`cnt`). Just pass those parameters into `search_recordings`.

This server primarily handles bird sound recording metadata. Your agent interacts directly with this structured information, so you don't worry about private user accounts or sensitive PII.

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