Exa AI MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Advanced Custom Search, Extract Page Content, Find Similar Pages, and more
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 for LlamaIndex
The Exa AI MCP Server for LlamaIndex is a standout in the Ai Frontier category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 12 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
Connect your Exa AI (formerly Metaphor) account to any AI agent and take full control of your web research and data extraction workflows through natural conversation.
LlamaIndex agents combine Exa AI tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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 Search Orchestration — Perform AI-native searches that understand intent and meaning to retrieve the most relevant web pages programmatically
- Content Intelligence — Programmatically extract clean, parsed text or highlights from any URL, excluding ads and boilerplate automatically
- Similarity Discovery — Find pages semantically similar to a source URL to build comprehensive and high-fidelity research datasets
- Deep Data Mapping — Discover all reachable links on a domain and retrieve discovery metadata to understand site structures programmatically
- Search Filtering — Restricted searches by domain, category (company, blog, news), or discovery date directly through your agent
The Exa AI MCP Server exposes 12 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Exa AI tools available for LlamaIndex
When LlamaIndex connects to Exa AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning neural-search, semantic-search, content-intelligence, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Advanced custom search on Exa AI
Complex search query
Extract page content on Exa AI
Retrieve web page text
Find similar pages on Exa AI
Find matches for a URL
Get api status on Exa AI
Check connection
Get query highlights on Exa AI
Extract relevant snippets
Keyword search on Exa AI
Search by exact keywords
Perform live crawl on Exa AI
Fresh web extraction
Search by category on Exa AI
Search by site type
Search by crawl date on Exa AI
Search by discovery date
Search specific domains on Exa AI
Search within sites
Search with contents on Exa AI
Search and extract text
Semantic search on Exa AI
Perform AI-native search
Connect Exa AI to LlamaIndex via MCP
Follow these steps to wire Exa AI into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
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
Example Prompts for Exa AI in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Exa AI immediately.
"Search for the latest research on room-temperature superconductors using Exa."
"Find pages similar to 'https://openai.com/blog/sora/' from news domains."
"Get the clean text content from 'https://en.wikipedia.org/wiki/Artificial_intelligence'."
Troubleshooting Exa AI MCP Server with LlamaIndex
Common issues when connecting Exa AI to LlamaIndex through 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?
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