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How to Use the Ecomail MCP in LlamaIndex

Index Ecomail campaign data into LlamaIndex to build RAG applications that answer questions using live marketing metrics.

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LlamaIndex

Connect Ecomail MCP to LlamaIndex

Create your Vinkius account to connect Ecomail to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Indexing Marketing Campaign History via MCP Server

This MCP Server feeds your Ecomail campaign history directly into your LlamaIndex vector stores. You use `list_email_marketing_campaigns` to pull your entire historical log, then embed those records so your query engine can search them semantically. When someone asks about last quarter's performance, the agent doesn't guess. It retrieves the exact data points by calling `get_campaign_performance_details` and grounds its response in hard numbers. You get actual open rates instead of hallucinations.

RAG for Subscriber Profiles

Connect live contact records to your knowledge base using the `get_subscriber_profile` tool. If a user asks about a specific customer, LlamaIndex pulls their exact history and merges it with your internal documents. You can also map out broader audience segments. Run `list_marketing_address_lists` to see your available cohorts, then use `list_address_list_subscribers` to index the members of a specific list for targeted queries.

Auditing Account Usage

Your RAG applications can monitor system health by querying `get_ecomail_account_metadata`. The agent reads your current limits and incorporates that context when answering questions about future campaign capacity. For a faster overview, the system hits `quick_marketing_volume_audit`. It pulls a high-level summary of list activity, which LlamaIndex can cache and compare against internal revenue documents to spot correlations.

Setup guide

Set up Ecomail MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

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

  4. 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 Ecomail tools.",
)
response = await agent.run("List recent Ecomail data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ecomail. 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 Ecomail MCP in LlamaIndex

Install `llama-index-tools-mcp` and set up a `BasicMCPClient`. Pass that client to `McpToolSpec` and call `to_tool_list_async()` to expose the Ecomail tools to your query engine.
It can. The agent uses the search tools to find specific contacts based on your query. The results are then synthesized into the final response.
Your agent can call the template tool to read the available designs. You can choose to embed those text structures into your vector store for future reference.
The LLM reads the tool descriptions and decides what it needs. If you ask about recent sends, it knows to trigger the latest campaign lists instead of a full historical audit.
Your address lists and subscriber profiles remain fully encrypted in transit. Vinkius operates on a zero-trust architecture, meaning the managed server processes the API request and immediately dumps the memory without logging your customer data.

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