How do I get an Elastic Email API Key?

Log in to your Elastic Email dashboard, navigate to **Settings > API**, and you can generate or retrieve your unique API Key from there. Ensure the key has the necessary permissions for campaigns and contacts.

Can the agent send new email broadcasts?

This integration currently focuses on listing and auditing campaigns, lists, and contacts. Scheduling or sending actual email broadcasts should be managed via the Elastic Email campaign builder or SMTP interface.

Does the integration show real-time delivery status?

Yes, you can use the list_delivery_logs tool to retrieve the latest transmission events and statuses as reported by the Elastic Email platform.

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

Name: Elastic Email
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 Elastic Email 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 Elastic Email. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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About Elastic Email MCP Server

Integrate Elastic Email, the powerful email marketing and delivery platform, directly into your AI workflow. Manage your email campaigns and templates, track contact lists and individual profiles, monitor real-time delivery logs and statuses, and oversee your marketing operations using natural language.

LlamaIndex agents combine Elastic Email tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 Oversight — List and retrieve detailed information and performance metrics for all your email marketing campaigns.
Contact Intelligence — Monitor contact address lists, individual profile details, and subscription statuses across your organization.
Delivery Monitoring — Track real-time email delivery logs, identifying success rates and recipient timestamps via chat.
Marketing Auditing — Retrieve high-level summaries of list volumes, campaign activity, and account credit balances instantly.

The Elastic Email 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 Elastic Email to LlamaIndex via MCP

Follow these steps to integrate the Elastic Email 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 Elastic Email

Why Use LlamaIndex with the Elastic Email MCP Server

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

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

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

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

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

Elastic Email + LlamaIndex Use Cases

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

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

Data enrichment: query Elastic Email 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 Elastic Email for fresh data

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

Elastic Email MCP Tools for LlamaIndex (10)

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

get_campaign_performance

Get detailed performance metrics for a specific email campaign

get_contact_profile

Get full profile and history for a specific contact by email

get_elastic_email_metadata

Retrieve metadata and usage limits for your Elastic Email account

list_contact_address_lists

List all contact lists configured in your account

list_delivery_logs

List recent email delivery logs and statuses

list_email_designs

List all available email message templates and designs

list_marketing_campaigns

List all email marketing campaigns in your Elastic Email account

list_marketing_contacts

List all contacts registered in your organization

quick_marketing_volume_audit

Retrieve a high-level summary of campaign activity and contact counts

search_contacts_by_email

Search for a contact using their email address

Example Prompts for Elastic Email in LlamaIndex

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

"List all active marketing campaigns."

"Show me the delivery logs for today."

"Search for contact 'john.doe@example.com'."

Troubleshooting Elastic Email MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Elastic Email + LlamaIndex FAQ

Common questions about integrating Elastic Email 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 Elastic Email tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.