Ecomail MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Ecomail as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Ecomail. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Ecomail?"
)
print(response)
asyncio.run(main())
* 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 Ecomail MCP Server
Integrate Ecomail, the powerful marketing automation and email platform, directly into your AI workflow. Manage your email campaigns and templates, track contact lists and individual subscriber profiles, monitor automation results, and oversee your marketing operations using natural language.
LlamaIndex agents combine Ecomail 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.
- Subscriber Intelligence — Monitor contact address lists, individual profiles, and subscription statuses across your organization.
- Automation Monitoring — Track marketing automation programs and campaign delivery results to ensure effective engagement.
- Marketing Auditing — Retrieve high-level summaries of list volumes, campaign activity, and account limits instantly.
The Ecomail 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 Ecomail to LlamaIndex via MCP
Follow these steps to integrate the Ecomail 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 Ecomail
Why Use LlamaIndex with the Ecomail MCP Server
LlamaIndex provides unique advantages when paired with Ecomail through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Ecomail tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Ecomail tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Ecomail, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Ecomail tools were called, what data was returned, and how it influenced the final answer
Ecomail + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Ecomail MCP Server delivers measurable value.
Hybrid search: combine Ecomail real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Ecomail 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 Ecomail for fresh data
Analytical workflows: chain Ecomail queries with LlamaIndex's data connectors to build multi-source analytical reports
Ecomail MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Ecomail to LlamaIndex via MCP:
get_campaign_performance_details
Get detailed information and metrics for a specific email campaign
get_ecomail_account_metadata
Retrieve metadata and usage limits for your Ecomail account
get_subscriber_profile
Get full profile and history for a specific subscriber by email
list_address_list_subscribers
List all subscribers within a specific address list
list_email_marketing_campaigns
List all email campaigns
list_email_templates
List all available email message templates
list_latest_marketing_campaigns
Identify the most recently created or sent campaigns
list_marketing_address_lists
List all contact address lists configured in your Ecomail account
quick_marketing_volume_audit
Retrieve a high-level summary of campaign and list activity
search_marketing_subscribers
Search for subscribers using a keyword or email address
Example Prompts for Ecomail in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Ecomail immediately.
"List all my email marketing campaigns."
"Show me the subscribers in list '12345'."
"Which email templates are available for use?"
Troubleshooting Ecomail MCP Server with LlamaIndex
Common issues when connecting Ecomail to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEcomail + LlamaIndex FAQ
Common questions about integrating Ecomail MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Ecomail with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Ecomail to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
