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SmartLead MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SmartLead as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 SmartLead. "
            "You have 8 tools available."
        ),
    )

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

asyncio.run(main())
SmartLead
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* 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 SmartLead MCP Server

Connect SmartLead to your AI agent and manage your cold email infrastructure at scale.

LlamaIndex agents combine SmartLead 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

  • Campaign Management — Create, edit, and monitor campaigns with multi-mailbox rotation.
  • Lead Management — Upload leads, track statuses, and manage engagement across campaigns.
  • Email Account Rotation — Monitor sending accounts, warm-up scores, and inbox placement rates.
  • Analytics — Pull campaign performance metrics including opens, clicks, replies, and conversions.

The SmartLead 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 SmartLead to LlamaIndex via MCP

Follow these steps to integrate the SmartLead MCP Server with LlamaIndex.

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 8 tools from SmartLead

Why Use LlamaIndex with the SmartLead MCP Server

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

01

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

02

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

03

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

04

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

SmartLead + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query SmartLead 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 SmartLead for fresh data

04

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

SmartLead MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect SmartLead to LlamaIndex via MCP:

01

add_lead

Add lead

02

get_campaign

Get campaign

03

get_campaign_analytics

Get campaign analytics

04

list_campaigns

List campaigns

05

list_email_accounts

List email accounts

06

list_leads

List leads

07

pause_campaign

Pause campaign

08

resume_campaign

Resume campaign

Example Prompts for SmartLead in LlamaIndex

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

01

"What's the status of my 'Enterprise Q2' campaign?"

02

"Check warm-up progress on my sending accounts."

03

"Upload 500 new leads to the 'SaaS Founders' campaign."

Troubleshooting SmartLead MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

SmartLead + LlamaIndex FAQ

Common questions about integrating SmartLead 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 SmartLead 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.

Connect SmartLead to LlamaIndex

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.