Exa MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Answer, Find Similar, Find Similar With Contents, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Exa 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 App Connector for LlamaIndex
The Exa app connector for LlamaIndex is a standout in the Ai Frontier category — giving your AI agent 10 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. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Exa?"
)
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 MCP Server
Connect Exa (formerly Metaphor) to any AI agent and simplify how you discover relevant web data, research topics using neural embeddings, and extract cleaned content through natural conversation.
LlamaIndex agents combine Exa tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Neural Search — Perform AI-powered searches that understand the meaning and intent of your query, not just keywords.
- Semantic Similarity — Find web pages and articles that are semantically similar to a specific seed URL.
- Content Extraction — Fetch cleaned, readable text and metadata from multiple URLs or page IDs in a single request.
- Research Automation — Discover high-quality sources and analyze web content programmatically via AI.
- Data Insights — retrieve comprehensive metadata for search results to identify top-performing resources.
- Intelligent Discovery — Use 'Autoprompt' to automatically optimize your queries for neural search accuracy.
The Exa MCP Server exposes 10 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.
All 10 Exa tools available for LlamaIndex
When LlamaIndex connects to Exa through Vinkius, your AI agent gets direct access to every tool listed below — spanning neural-search, semantic-similarity, web-data, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get an AI answer
Great for competitive analysis and research. Find similar pages
Find similar pages with content
Extract page contents
Returns titles, URLs, and relevance scores for matching pages. Search the web with AI
Useful for site-specific research or documentation lookups. Search within a domain
Traditional keyword search
Ideal for conceptual queries and research topics. Neural semantic search
Ideal for news and trending topics. Search recent content
Search and extract page content
Connect Exa to LlamaIndex via MCP
Follow these steps to wire Exa into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the 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 MCP Server
LlamaIndex provides unique advantages when paired with Exa through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Exa tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Exa tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Exa, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Exa tools were called, what data was returned, and how it influenced the final answer
Exa + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Exa MCP Server delivers measurable value.
Hybrid search: combine Exa real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Exa 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 for fresh data
Analytical workflows: chain Exa queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Exa in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Exa immediately.
"Neural search for 'the latest breakthroughs in room-temperature superconductors'."
"Find 5 links similar to 'https://openai.com/blog/instruction-following'."
"Extract the cleaned text content from 'https://arxiv.org/abs/2312.00752'."
Troubleshooting Exa MCP Server with LlamaIndex
Common issues when connecting Exa to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpExa + LlamaIndex FAQ
Common questions about integrating Exa MCP Server with LlamaIndex.