How to Use the SmartLead MCP in LlamaIndex

Q: How does LlamaIndex use SmartLead data?

It takes the structured output from tools like getcampaign and embeds it into a vector store. Your agent then queries this API data alongside documents for grounded answers.

Q: Can I query past campaign performance using LlamaIndex with SmartLead?

Yes. You index results from getcampaignanalytics. This means you can ask natural language questions like, 'What was the CTR for Q3?' and get an answer based on actual API data.

Q: What specific data points does this MCP Server touch regarding SmartLead?

This server touches lead records (from listleads and addlead), account inventories (listemailaccounts), and campaign performance metrics. It's a wide scope.

Ground your RAG applications in live data using SmartLead with LlamaIndex.

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Connect SmartLead MCP to LlamaIndex

Create your Vinkius account to connect SmartLead to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup SmartLead with LlamaIndex

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Claude

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Search and Query Campaign Data via LlamaIndex

The `get_campaign` tool lets you pull specific campaign details from SmartLead. By indexing this output, your knowledge base can answer questions about campaign structure. Need to know the performance? Indexing data from `get_campaign_analytics` means you can query past results semantically, not just by keyword.

Manage Leads and Accounts with LlamaIndex

Your index learns about your outreach list. Calling `list_leads` makes those lead records searchable knowledge. You can combine this with knowing available sending capacity using the `list_email_accounts` tool. It's a unified, queryable index of both contacts and resources.

Control Campaign States with LlamaIndex

Building an application that needs control? You can record when you paused or resumed a campaign using `pause_campaign` or `resume_campaign`. The MCP Server feeds these state changes into your RAG context. This prevents hallucinations about current operational status.

Setup guide

Set up SmartLead MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all SmartLead MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to SmartLead tools.",
)
response = await agent.run("List recent SmartLead data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SmartLead. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about SmartLead MCP in LlamaIndex

It takes the structured output from tools like `get_campaign` and embeds it into a vector store. Your agent then queries this API data alongside documents for grounded answers.

Yes. You index results from `get_campaign_analytics`. This means you can ask natural language questions like, 'What was the CTR for Q3?' and get an answer based on actual API data.

It excels at combining live API data with static documents. You can build a system that reads campaign status from the MCP Server, then compares it to internal compliance guides.

This server touches lead records (from `list_leads` and `add_lead`), account inventories (`list_email_accounts`), and campaign performance metrics. It's a wide scope.

The server handles contact information (the type of data accessed via `add_lead` and `list_leads`). All outputs are indexed into your private knowledge base.

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