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Snov.io MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Add Snovio Prospect To List, Check Snovio Status, Find Snovio Domain Emails, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Snov.io 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 Snov.io app connector for LlamaIndex is a standout in the Sales Automation 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

python
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 Snov.io. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Snov.io?"
    )
    print(response)

asyncio.run(main())
Snov.io
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Snov.io MCP Server

Connect your Snov.io account to any AI agent and take full control of your lead generation and high-fidelity outreach orchestration through natural conversation.

LlamaIndex agents combine Snov.io 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

  • Email Discovery Intelligence — Find all high-fidelity email addresses for a specific domain to identify key decision makers programmatically
  • Prospect Portfolio Management — List saved prospect lists, retrieve detailed profile metadata, and add new leads directly through your agent
  • Outreach Campaign Monitoring — Access your complete directory of high-fidelity marketing campaigns and monitor real-time performance analytics
  • Identity Enrichment — Retrieve technical profile data for specific prospects using unique IDs or email addresses programmatically
  • Real-time Webhook Access — Monitor configured high-fidelity notification streams and events directly through your agent for perfectly coordinated outreach
  • Operational Monitoring — Verify account-level API connectivity and monitor lead orchestration volume directly through your agent for perfectly coordinated service scaling

The Snov.io 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 Snov.io tools available for LlamaIndex

When LlamaIndex connects to Snov.io through Vinkius, your AI agent gets direct access to every tool listed below — spanning email-finding, email-verification, cold-outreach, 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.

add_snovio_prospect_to_list

Add prospect to list

check_snovio_status

io API credentials. Check API Status

find_snovio_domain_emails

Find emails for a domain

find_snovio_prospect_by_name

Find email by name and domain

get_snovio_campaign_analytics

Get campaign analytics

get_snovio_prospect_by_email

Get prospect details by email

get_snovio_prospect_by_id

Get prospect details by ID

list_snovio_campaigns

List outreach campaigns

list_snovio_prospect_lists

List prospect lists

list_snovio_webhooks

List account webhooks

Connect Snov.io to LlamaIndex via MCP

Follow these steps to wire Snov.io into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from Snov.io

Why Use LlamaIndex with the Snov.io MCP Server

LlamaIndex provides unique advantages when paired with Snov.io through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Snov.io tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Snov.io tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Snov.io, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Snov.io tools were called, what data was returned, and how it influenced the final answer

Snov.io + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Snov.io MCP Server delivers measurable value.

01

Hybrid search: combine Snov.io real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Snov.io to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Snov.io for fresh data

04

Analytical workflows: chain Snov.io queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Snov.io in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Snov.io immediately.

01

"Find all high-fidelity emails for the domain 'vinkius.com'."

02

"Show the last 5 campaigns and their analytics."

03

"Check the team webhooks for lead events."

Troubleshooting Snov.io MCP Server with LlamaIndex

Common issues when connecting Snov.io to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Snov.io + LlamaIndex FAQ

Common questions about integrating Snov.io MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Snov.io tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.