How to Use the Exa AI MCP in OpenAI Agents SDK
Get neural search results directly inside your OpenAI Agents SDK production pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Exa AI MCP to OpenAI Agents SDK
Create your Vinkius account to connect Exa AI 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.
Native integration for OpenAI Agents SDK
Your agent discovers all twelve search tools automatically. You initialize the connection using the standard context manager and pass the server instance to your agent constructor. Caching the tool list prevents unnecessary overhead during runtime. This setup ensures your production agent system handles data retrieval without manual configuration.
Advanced content extraction for your agents
When your agent needs raw data, use `extract_page_content` or `search_with_contents`. These tools pull clean text directly from the web into your agent's context window. Combined with `get_query_highlights`, your system pulls only the relevant snippets. This keeps your agent's token usage predictable while maintaining high retrieval quality.
Real-time web access for your MCP Server
Need the latest info? Use `perform_live_crawl` to fetch data that hasn't been indexed by standard search engines yet. This MCP Server gives your agent a direct window into the live web. Your agent can also filter by date using `search_by_crawl_date`. You get granular control over the freshness of the data your agent processes.
Set up Exa AI MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Exa AI tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Exa AI tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Exa AI tools and returns structured results. Copy the full example on the right to get started.
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="Exa AI Agent",
instructions="You have access to Exa AI tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Exa AI. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Exa AI MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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