Exa MCP Server for AutoGen 3 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Exa as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="exa_agent",
tools=tools,
system_message=(
"You help users with Exa. "
"3 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Exa tools. Connect 3 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Exa MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 3 tools from Exa automatically
Why Use AutoGen with the Exa MCP Server
AutoGen provides unique advantages when paired with Exa through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Exa tools to solve complex tasks
Role-based architecture lets you assign Exa tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Exa tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Exa tool responses in an isolated environment
Exa + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Exa MCP Server delivers measurable value.
Collaborative analysis: one agent queries Exa while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Exa, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Exa data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Exa responses in a sandboxed execution environment
Exa MCP Tools for AutoGen (3)
These 3 tools become available when you connect Exa to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Exa to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Exa + AutoGen FAQ
Common questions about integrating Exa MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.