How do I find my Emma API Keys?

Log in to your Emma account, click on your name in the top right, go to 'Account Settings', and then select 'API Key'. You will find your Account ID, Public Key, and Private Key there.

What is the difference between a group and a segment?

In Emma, a group is a static collection of members you've explicitly added. A segment is a dynamic group based on rules (like 'opened last email'). This server currently focuses on managing static groups.

Can I see my custom member data fields?

Yes! Use the `list_fields` tool to retrieve all standard and custom member data fields defined in your account.

Emma MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Emma
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Emma as an MCP tool provider through the 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 Emma. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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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 Emma MCP Server

Connect your Emma (myemma.com) account to your AI agent and take full control of your email marketing audience and campaigns through natural conversation.

LlamaIndex agents combine Emma tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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

Member Management — List all mailing list members and get detailed profiles including custom fields.
Group Segments — Retrieve and create audience groups to organize your subscribers effectively.
Mailing History — Access a complete list of sent and scheduled email campaigns (mailings).
Response Analytics — Fetch summary response metrics (opens, clicks) for specific mailings.
Automation & Webhooks — Monitor your automated workflows and active webhooks.
Field Customization — List all custom and standard member data fields defined in your account.

The Emma 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.

How to Connect Emma to LlamaIndex via MCP

Follow these steps to integrate the Emma 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 10 tools from Emma

Why Use LlamaIndex with the Emma MCP Server

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

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

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

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

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

Emma + LlamaIndex Use Cases

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

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

Data enrichment: query Emma 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 Emma for fresh data

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

Emma MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Emma to LlamaIndex via MCP:

create_group

Create a new member group

delete_group

Members are not deleted. Delete a member group

get_mailing_stats

) for a specific mailing ID. Get response stats for a mailing

get_member

Get specific member details

list_automations

List email automations

list_fields

List custom member fields

list_groups

List Emma member groups

list_mailings

List sent and scheduled mailings

list_members

List mailing list members

list_webhooks

List active webhooks

Example Prompts for Emma in LlamaIndex

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

"List all my audience groups in Emma."

"Get details for member with email test@example.com."

"What are the response stats for my latest mailing?"

Troubleshooting Emma MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Emma + LlamaIndex FAQ

Common questions about integrating Emma 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.