Where do I find my API Token?

Log in to Minutemailer, go to your account settings, and look for the 'API Settings' section to generate a token.

Minutemailer MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Name: Minutemailer
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Minutemailer 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

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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 Minutemailer. "
            "You have 8 tools available."
        ),
    )

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

Connect your Minutemailer account to automate your email and SMS marketing workflows. This server allows your AI agents to manage your audience and monitor campaigns directly.

LlamaIndex agents combine Minutemailer tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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

Audience Management — List, create, and remove contacts seamlessly
Segment Organization — Access your contact lists and smart lists for targeted outreach
Template Visibility — Browse available email templates for your campaigns
Activity Monitoring — Track account events and historical data in real-time

The Minutemailer MCP Server exposes 8 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 Minutemailer to LlamaIndex via MCP

Follow these steps to integrate the Minutemailer 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 8 tools from Minutemailer

Why Use LlamaIndex with the Minutemailer MCP Server

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

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

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

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

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

Minutemailer + LlamaIndex Use Cases

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

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

Data enrichment: query Minutemailer 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 Minutemailer for fresh data

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

Minutemailer MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect Minutemailer to LlamaIndex via MCP:

create_contact

Create a new contact

delete_contact

Delete a contact

get_account_info

Get account metadata

list_contact_lists

List all contact lists

list_contacts

List all contacts

list_events

List account events

list_smart_lists

List smart lists

list_templates

List email templates

Example Prompts for Minutemailer in LlamaIndex

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

"List all my Minutemailer contacts."

"Add 'jane.doe@example.com' to my contact list."

Troubleshooting Minutemailer MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Minutemailer + LlamaIndex FAQ

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