How to Use the MailerSend MCP in LlamaIndex
Index your MailerSend analytics and email templates to ground your LlamaIndex RAG applications.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up MailerSend MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 MailerSend MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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.
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Common questions about MailerSend MCP in LlamaIndex
Use it with your favorite AI tools
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