Exa MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Answer, Find Similar, Find Similar With Contents, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Exa through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Exa app connector for OpenAI Agents SDK is a standout in the Ai Frontier category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Exa Assistant",
instructions=(
"You help users interact with Exa. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Exa"
)
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 Exa MCP Server
Connect Exa (formerly Metaphor) to any AI agent and simplify how you discover relevant web data, research topics using neural embeddings, and extract cleaned content through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Exa through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Exa, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Neural Search — Perform AI-powered searches that understand the meaning and intent of your query, not just keywords.
- Semantic Similarity — Find web pages and articles that are semantically similar to a specific seed URL.
- Content Extraction — Fetch cleaned, readable text and metadata from multiple URLs or page IDs in a single request.
- Research Automation — Discover high-quality sources and analyze web content programmatically via AI.
- Data Insights — retrieve comprehensive metadata for search results to identify top-performing resources.
- Intelligent Discovery — Use 'Autoprompt' to automatically optimize your queries for neural search accuracy.
The Exa 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.
All 10 Exa tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Exa through Vinkius, your AI agent gets direct access to every tool listed below — spanning neural-search, semantic-similarity, web-data, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get an AI answer
Great for competitive analysis and research. Find similar pages
Find similar pages with content
Extract page contents
Returns titles, URLs, and relevance scores for matching pages. Search the web with AI
Useful for site-specific research or documentation lookups. Search within a domain
Traditional keyword search
Ideal for conceptual queries and research topics. Neural semantic search
Ideal for news and trending topics. Search recent content
Search and extract page content
Connect Exa to OpenAI Agents SDK via MCP
Follow these steps to wire Exa into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Exa MCP Server
OpenAI Agents SDK provides unique advantages when paired with Exa 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
Exa + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Exa MCP Server delivers measurable value.
Automated workflows: build agents that query Exa, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Exa, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Exa tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Exa to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Exa in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Exa immediately.
"Neural search for 'the latest breakthroughs in room-temperature superconductors'."
"Find 5 links similar to 'https://openai.com/blog/instruction-following'."
"Extract the cleaned text content from 'https://arxiv.org/abs/2312.00752'."
Troubleshooting Exa MCP Server with OpenAI Agents SDK
Common issues when connecting Exa to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Exa + OpenAI Agents SDK FAQ
Common questions about integrating Exa 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.