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How to Use the MailerSend MCP in LlamaIndex

Index your MailerSend analytics and email templates to ground your LlamaIndex RAG applications.

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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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Index delivery metrics for LlamaIndex RAG

The `get_date_analytics` tool pulls your historical sending data directly into your LlamaIndex vector store. Your agent queries this index to answer questions about bounce rates and delivery trends without hallucinating. This MCP Server connection turns raw delivery statistics into searchable knowledge. Your index stays updated with live data from `list_sending_domains`, ensuring your reports always reflect your actual domain health.

Query email templates with semantic search

The `list_email_templates` tool retrieves your library of saved email layouts. LlamaIndex indexes these templates, allowing your agent to quickly find the correct layout for a specific customer segment. You can use `get_template_details` to pull the raw HTML and variables of any template. Your agent then maps these variables to your user database fields before executing the send command.

Audit domain configuration health programmatically

The `get_domain_details` tool fetches DNS and DKIM verification statuses for your sending domains. LlamaIndex monitors these details to alert your engineering team if a record is accidentally deleted. By exposing `list_sending_domains` to your agent, you can automate routine deliverability audits using this MCP Server. The agent compares live DNS settings against your target configuration to catch issues early.

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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Common questions about MailerSend MCP in LlamaIndex

Use the MCP tool adapter to load the tools into your LlamaIndex agent. The agent can call `list_email_templates` and write the output directly into a VectorStoreIndex for semantic querying.
Yes, the agent can call `get_account_limits` to verify your remaining quota. This prevents your indexing workflows from triggering emails when your account is throttled.
Your agent uses `list_sent_messages` to retrieve recent delivery records. It can then parse the output to answer user questions about whether a specific receipt was sent.
Yes, you can use `get_domain_details` within your agent workflows. The agent can periodically check domain verification status and index the results to track delivery health over time.
All email payloads, domain records, and template contents are processed in memory within zero-trust sandboxes. Vinkius does not log the actual email bodies or recipient lists transmitted during tool executions.

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