Exa AI MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Exa AI as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Exa AI. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Exa AI?"
)
print(response)
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.
LlamaIndex agents combine Exa AI tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Exa AI MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 6 tools from Exa AI
Why Use LlamaIndex with the Exa AI MCP Server
LlamaIndex provides unique advantages when paired with Exa AI through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Exa AI tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Exa AI tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Exa AI, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Exa AI tools were called, what data was returned, and how it influenced the final answer
Exa AI + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Exa AI MCP Server delivers measurable value.
Hybrid search: combine Exa AI real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Exa AI to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Exa AI for fresh data
Analytical workflows: chain Exa AI queries with LlamaIndex's data connectors to build multi-source analytical reports
Exa AI MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect Exa AI to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Exa AI to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpExa AI + LlamaIndex FAQ
Common questions about integrating Exa AI MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.