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How to Use the MailerSend MCP in LlamaIndex

Index your MailerSend delivery logs directly into LlamaIndex. Query actual API data instead of guessing.

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LlamaIndex

Connect MailerSend MCP to LlamaIndex

Create your Vinkius account to connect MailerSend 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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Ground queries in actual delivery data

LlamaIndex transforms raw MailerSend API responses into a searchable knowledge base. When your RAG application pulls data using `list_sent_messages`, it indexes the exact timestamps, sender addresses, and delivery statuses. You stop guessing why a user missed their password reset. Instead of digging through a dashboard, you ask your agent what happened. It searches the index, finds the relevant log, and confirms the status. If you need more context, it runs `get_sent_message_details` to pull the exact SMTP response and adds that to the vector store too.

Audit sender domain health via MCP Server

Managing multiple domains gets messy fast. This MCP Server lets your application index the current verification state of your entire infrastructure. It executes `list_sender_domains` and stores the active/inactive status of every domain you manage. When an IT admin asks which domains are ready for production, LlamaIndex pulls the answer from the vector store. If a domain looks stale, the agent can actively run `verify_sender_domain` to force a fresh DNS check and update the index with the new result.

Track recipient engagement history

Support teams need context when troubleshooting user complaints. Your agent can build a complete history for any user by calling `get_recipient_details` and indexing their past interactions. It maps out exactly what they received and when. To see the broader trend, the agent pulls `list_domain_activity` for the sending domain. LlamaIndex combines the specific user history with the aggregate domain metrics, giving your team a clear, factual summary of the delivery environment.

Setup guide

Set up MailerSend MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

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

  4. 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 MailerSend tools.",
)
response = await agent.run("List recent MailerSend data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MailerSend. 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.

Why Choose Vinkius

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Common questions about MailerSend MCP in LlamaIndex

You pass the MailerSend MCP tools to a FunctionAgent. The agent executes tools like `list_sent_messages` and LlamaIndex natively embeds the JSON responses into your vector store.
Yes. By running `list_domain_activity`, the agent pulls the metrics into the index. You can then ask natural language questions about your sending volume over time.
Yes. While indexing is the focus, the agent can still execute `send_transactional_email` or `send_bulk_transactional_emails` if you permit those actions in the tool spec.
Install llama-index-tools-mcp and configure a BasicMCPClient. Point it at the Vinkius URL, wrap it in an McpToolSpec, and hand it to your agent.
The integration reads raw email addresses, message bodies, and delivery statuses. The Vinkius architecture processes these requests through ephemeral, zero-trust sandboxes. The connection terminates immediately after the API returns the payload.

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