How to Use the Minutemailer MCP in LlamaIndex

Q: Can I filter which Minutemailer tools LlamaIndex sees?

Use the allowedtools filter in your configuration. You choose exactly which operations the agent is permitted to perform.

Index your marketing data in LlamaIndex. Ground your RAG applications in live Minutemailer contact and event records.

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Connect Minutemailer MCP to LlamaIndex

Create your Vinkius account to connect Minutemailer to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Minutemailer with LlamaIndex

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Turn your contact lists into searchable data using `list_contacts`. LlamaIndex pulls these records into your vector store, making your entire subscriber base queryable. You can ask your agent questions about specific segments or growth trends. It transforms raw API data into a source of truth for your queries.

Query your email history in LlamaIndex

Use `list_events` to feed campaign logs into your index. This allows your agent to answer questions about past performance based on actual delivery data. It helps you understand what worked and what didn't without manual reporting. The data is always current and ready for analysis.

Automate list management in LlamaIndex

Use `list_contact_lists` to map out your audience structure. The agent indexes these labels, allowing it to route new subscribers to the right place automatically. This keeps your organization consistent across your entire marketing stack. It removes the guesswork from list maintenance.

Setup guide

Set up Minutemailer MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Minutemailer MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Minutemailer tools.",
)
response = await agent.run("List recent Minutemailer data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Minutemailer. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Minutemailer MCP in LlamaIndex

Use the MCP tool spec to pull the data into your agent. Once indexed, you can ask natural language questions about your contacts and lists.

Yes. The tools provide the raw data that your index needs to stay grounded. It prevents the model from hallucinating your account details.

The server fetches the data, and your index handles the search. You get the best of both worlds by combining live API calls with vector retrieval.

Your contact records stay within your authorized session. We don't store your data; we just pass it through the secure connection to your agent.

Use the allowed_tools filter in your configuration. You choose exactly which operations the agent is permitted to perform.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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