Exa MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes
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 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 Assistant",
instructions=(
"You help users interact with Exa. "
"You have access to 3 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 your AI agent to Exa — the semantic search engine built from the ground up for AI applications.
The OpenAI Agents SDK auto-discovers all 3 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
- Semantic Search — Search the web using natural language. Unlike Google, Exa understands concepts and meaning, returning results that are semantically relevant even without exact keyword matches
- Find Similar — Provide any URL and discover web pages with similar content. Perfect for competitive analysis, research expansion, and content discovery
- Extract Contents — Get clean text, highlights, and summaries from any list of URLs. Ideal for building knowledge bases from curated sources
The Exa MCP Server exposes 3 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 to OpenAI Agents SDK via MCP
Follow these steps to integrate the Exa 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 3 tools from Exa
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
Exa MCP Tools for OpenAI Agents SDK (3)
These 3 tools become available when you connect Exa to OpenAI Agents SDK via MCP:
exa_find_similar
Useful for finding competitors, related articles, or alternative sources on the same subject. Find web pages semantically similar to a given URL. Perfect for competitive analysis and content discovery
exa_get_contents
Useful when you already know which pages you want to read and need their content in a structured format. Extract clean text content from specific URLs. Provide comma-separated URLs to retrieve their content
exa_search
Returns page text, highlights, and relevance scores. Supports search types: auto (default), instant (fastest), fast, deep (most thorough). Search the web using Exa semantic search engine. Finds conceptually relevant results, not just keyword matches
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.
"Search for companies building memory infrastructure for AI agents."
"Find pages similar to https://docs.langchain.com/docs/get_started/introduction"
"Extract the content from these 3 URLs: https://arxiv.org/abs/2401.00001, https://openai.com/blog, https://anthropic.com/research"
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.Does the SDK support streaming responses?
Connect Exa 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 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.