How do I get Emarsys API credentials?

Log in to your Emarsys account, navigate to **Admin > Web Services**, and you can create or retrieve your **API Username** and **Secret Key**. Ensure the user has the required permissions for the resources you wish to access.

What authentication method does this integration use?

This integration uses **W-SSE authentication**, which is the standard for the Emarsys API. It requires both your API Username and Secret Key to securely generate request headers.

Can the agent trigger automation programs?

This integration currently focuses on listing and auditing programs and events. Triggering specific automation workflows should be managed via external events in the Emarsys dashboard or dedicated transactional API calls.

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

Name: Emarsys
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 Emarsys 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 Emarsys. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Emarsys?"
    )
    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 Emarsys MCP Server

Integrate Emarsys, the comprehensive customer engagement platform, directly into your AI workflow. Manage your email marketing campaigns and contact lists, track audience segments and automation programs, monitor trigger events and registration forms, and oversee your omnichannel engagement using natural language.

LlamaIndex agents combine Emarsys 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, subject lines, and launch statuses for all your email campaigns.
Contact Intelligence — Monitor marketing contact lists and audience segments, resolving structural details and filter criteria.
Automation Management — Access and monitor automation programs and workflows, tracking active statuses and trigger events.
Engagement Auditing — Retrieve high-level summaries of campaign volume, list activity, and organizational marketing health instantly.

The Emarsys 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 Emarsys to LlamaIndex via MCP

Follow these steps to integrate the Emarsys 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 Emarsys

Why Use LlamaIndex with the Emarsys MCP Server

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

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

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

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

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

Emarsys + LlamaIndex Use Cases

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

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

Data enrichment: query Emarsys 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 Emarsys for fresh data

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

Emarsys MCP Tools for LlamaIndex (10)

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

get_campaign_details

Get detailed settings and status for a specific email campaign

get_contact_list_details

Get detailed settings for a specific contact list

get_emarsys_account_metadata

Retrieve metadata and settings for your Emarsys account

list_audience_segments

List all audience segments (filters) in your account

list_automation_programs

List all automation programs and workflows

list_email_campaigns

List all email campaigns in your Emarsys account

list_marketing_contact_lists

List all contact lists configured in your organization

list_registration_forms

List all subscription and registration forms

list_trigger_events

List all external events used for triggering automation programs

quick_engagement_volume_audit

Retrieve a high-level summary of campaigns, lists, and automation programs

Example Prompts for Emarsys in LlamaIndex

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

"List all active email campaigns."

"Show me the audience segments in my account."

"What automation programs are currently running?"

Troubleshooting Emarsys MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Emarsys + LlamaIndex FAQ

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