How do I get my Snov.io API credentials?

Log in to your Snov.io account at **app.snov.io**. Click your **profile avatar** (top right corner). Select the **API** tab. Your **User ID** and **API Secret** are displayed on this page. Copy both values and paste them into the configuration fields below. Free plans include 50 credits/month.

Can I find all emails at a specific company domain?

Yes. Ask your agent 'Find all emails at acme.com' and it returns a list of verified business emails with names, job titles, confidence scores, and the email pattern used at that domain.

Can I set up drip campaigns through the AI agent?

Yes. Your agent can create drip campaigns, add recipients, configure follow-up sequences, and monitor delivery statuses — complete email automation from a single conversation.

Does Snov.io have a free plan?

Yes. Snov.io offers a free trial with 50 credits per month, enough for basic email finding and verification. The API works identically on all plans — credits are the only difference. Upgrade for higher volumes.

Snov.io MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Name: Snov.io
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

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.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 8 tools available."
        ),
    )

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

asyncio.run(main())

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About Snov.io MCP Server

Connect Snov.io to your AI agent and manage your email finder, verifier, and drip campaign platform conversationally.

LlamaIndex agents combine Snov.io tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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 Finder — Find professional emails by domain, name, or company with confidence scores.
Email Verifier — Validate email addresses before outreach to protect your sender reputation.
Drip Campaigns — Create and manage automated email drip sequences with follow-ups.
Prospect Lists — Build, manage, and export prospect lists with verified contact data.

The Snov.io MCP Server exposes 8 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 Snov.io to LlamaIndex via MCP

Follow these steps to integrate the Snov.io 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 8 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.

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

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

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

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.

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

Data enrichment: query Snov.io 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 Snov.io for fresh data

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

Snov.io MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect Snov.io to LlamaIndex via MCP:

add_prospect

io list. Add prospect

domain_search

Domain email search

email_finder

Find email

email_verifier

Verify emails

get_balance

io credits. Get credit balance

get_prospect_by_email

Get prospect

list_prospect_lists

List prospect lists

tech_checker

Check domain technologies

Example Prompts for Snov.io in LlamaIndex

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

"Find all emails at shopify.com."

"Verify if alex@oldcompany.com is still deliverable."

"Find the email for Sarah Kim at Notion."

Troubleshooting Snov.io MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Snov.io + LlamaIndex FAQ

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

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.

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.