Exa AI MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Exa AI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 AI Assistant",
instructions=(
"You help users interact with Exa AI. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Exa AI"
)
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 AI MCP Server
Empower your AI agent to orchestrate your entire web discovery and semantic search workflow with Exa AI, the search engine built for the future of AI. By connecting Exa to your agent, you transform complex information gathering into a natural conversation. Your agent can instantly search the web using semantic embeddings, audit similar websites through URL matching, and retrieve cleaned page content without you ever touching a browser. Whether you are conducting deep market research or monitoring niche industry trends, your agent acts as a real-time web analyst, ensuring your intelligence is always grounded in contextually relevant data.
The OpenAI Agents SDK auto-discovers all 6 tools from Exa AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Exa AI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Semantic Auditing — Query the web using natural language and retrieve results based on meaning rather than just keywords.
- Similar Discovery — Find websites similar to any provided URL to identify competitors or related sources instantly.
- Content Oversight — Retrieve cleaned HTML or text content for any search result to maintain a structured view of web data.
- Usage Intelligence — Monitor your API usage and crawl statistics to maintain strict control over your research budget.
- Unified Search — Perform search and content retrieval in a single request to optimize agent response times.
The Exa AI MCP Server exposes 6 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 Exa AI to OpenAI Agents SDK via MCP
Follow these steps to integrate the Exa AI MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from Exa AI
Why Use OpenAI Agents SDK with the Exa AI MCP Server
OpenAI Agents SDK provides unique advantages when paired with Exa AI 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 AI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Exa AI MCP Server delivers measurable value.
Automated workflows: build agents that query Exa AI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Exa AI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Exa AI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Exa AI to resolve tickets, look up records, and update statuses without human intervention
Exa AI MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Exa AI to OpenAI Agents SDK via MCP:
find_similar
Find websites similar to a given URL
get_api_usage
Get current API usage and crawl statistics
get_contents
Get cleaned HTML/text content for specific Exa IDs
get_search_links
Get just the top links for a search query
search_web
Search the web semantically using Exa
search_with_contents
Search and retrieve contents in one request
Example Prompts for Exa AI in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Exa AI immediately.
"Find 5 high-quality research papers about 'Climate Change mitigation' using Exa."
"Find sites similar to https://techcrunch.com."
"Search for 'future of AI robotics' and give me the full content of the best result."
Troubleshooting Exa AI MCP Server with OpenAI Agents SDK
Common issues when connecting Exa AI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Exa AI + OpenAI Agents SDK FAQ
Common questions about integrating Exa AI 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.Does the SDK support streaming responses?
Connect Exa AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Exa AI to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
