Can I check the open rate for a specific email using the agent?

Yes! Use the `get_email_analytics` tool with the Email ID. Your agent will fetch the detailed statistics, including deliveries, opens, and clicks, directly from Buttondown.

How do I add a new subscriber with a specific tag?

Simply ask the agent to `create_subscriber` and provide the email address and a JSON array of tags, for example: `["customer", "api-lead"]`. The subscriber will be added to Buttondown instantly.

Does the integration allow creating a new draft email?

Yes. Use the `create_email` action and set the status to `draft`. You can provide the subject and the body in markdown format, and it will appear in your Buttondown account ready for review.

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

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

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

Connect your Buttondown account to any AI agent and orchestrate your newsletter, subscriber management, and email campaigns through natural conversation.

LlamaIndex agents combine Buttondown 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

Subscriber Oversight — List all your subscribers and retrieve detailed profiles, including metadata and tags.
Email Management — List all sent emails and drafts, and create new campaigns or drafts directly from your workspace.
Analytics Tracking — Retrieve detailed analytics for specific emails, including open and click rates.
Segment Coordination — Access and list your tags to ensure your audience is properly categorized.
Newsletter Access — List all newsletters managed in your account and access your core profile settings.
Subscriber Growth — Add new subscribers directly from your workspace with custom tags and metadata.

The Buttondown 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 Buttondown to LlamaIndex via MCP

Follow these steps to integrate the Buttondown 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 Buttondown

Why Use LlamaIndex with the Buttondown MCP Server

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

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

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

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

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

Buttondown + LlamaIndex Use Cases

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

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

Data enrichment: query Buttondown 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 Buttondown for fresh data

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

Buttondown MCP Tools for LlamaIndex (10)

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

create_email

Create a new email or draft

create_subscriber

Add a new subscriber to the newsletter

get_account_info

Retrieve core account/profile settings

get_email

Get details of a specific email

get_email_analytics

Get analytics for a specific email

get_subscriber

Get details of a specific subscriber

list_emails

List all sent emails and drafts

list_newsletters

List all newsletters in the account

list_subscribers

List all newsletter subscribers

list_tags

List all subscriber tags

Example Prompts for Buttondown in LlamaIndex

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

"List all my newsletter subscribers."

"Show analytics for my last sent email."

"Create a new draft with subject 'Hello World' and body 'This is a test'."

Troubleshooting Buttondown MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Buttondown + LlamaIndex FAQ

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