MailerSend MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add MailerSend as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 MailerSend. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in MailerSend?"
)
print(response)
asyncio.run(main())
* 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 MailerSend MCP Server
Connect your MailerSend account to any AI agent to automate your transactional messaging and domain management. This MCP server enables your agent to send single or bulk emails, monitor domain verification, and track email activity directly from natural language interfaces.
LlamaIndex agents combine MailerSend 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
- Email Delivery — Send transactional emails instantly with support for HTML, text, and templates
- Bulk Operations — Send up to 500 emails in a single batch request for high-volume communications
- Domain Oversight — List sender domains, retrieve DNS settings, and trigger ownership verification checks
- Recipient Management — List and query recipients from your account database to track engagement
- Activity Auditing — Access real-time logs of email events (sent, delivered, opened, clicked) for any domain
- Message Insight — Retrieve complete metadata and lifecycle history for individual sent messages
The MailerSend 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 MailerSend to LlamaIndex via MCP
Follow these steps to integrate the MailerSend 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 MailerSend
Why Use LlamaIndex with the MailerSend MCP Server
LlamaIndex provides unique advantages when paired with MailerSend through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine MailerSend tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain MailerSend tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query MailerSend, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what MailerSend tools were called, what data was returned, and how it influenced the final answer
MailerSend + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the MailerSend MCP Server delivers measurable value.
Hybrid search: combine MailerSend real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query MailerSend 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 MailerSend for fresh data
Analytical workflows: chain MailerSend queries with LlamaIndex's data connectors to build multi-source analytical reports
MailerSend MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect MailerSend to LlamaIndex via MCP:
get_recipient_details
Get details for a specific recipient
get_sender_domain_details
Get details for a specific domain
get_sent_message_details
Get details for a specific sent message
list_domain_activity
List email activity for a specific domain
list_email_recipients
List all recipients in the account database
list_sender_domains
List all verified and unverified sender domains
list_sent_messages
List all sent email messages
send_bulk_transactional_emails
Send multiple transactional emails in one batch
send_transactional_email
Requires a JSON body with sender, recipient, and content (text/html) or template ID. Send a single transactional email
verify_sender_domain
Trigger a DNS verification check for a domain
Example Prompts for MailerSend in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with MailerSend immediately.
"Send a transactional email to 'user@example.com' with subject 'Welcome' and body 'Hello!'."
"List all active sender domains in my account."
"Show recent opened events for domain ID '98765'."
Troubleshooting MailerSend MCP Server with LlamaIndex
Common issues when connecting MailerSend to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMailerSend + LlamaIndex FAQ
Common questions about integrating MailerSend MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect MailerSend with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect MailerSend to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.