Mailify (Sarbacane) MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mailify (Sarbacane) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Mailify (Sarbacane). "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Mailify (Sarbacane)?"
)
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 Mailify (Sarbacane) MCP Server
Connect your Mailify (Sarbacane) account to any AI agent to automate your professional marketing communications. This MCP server enables your agent to manage contact lists (address books), retrieve campaign performance statistics, and update subscriber data directly from natural language interfaces.
LlamaIndex agents combine Mailify (Sarbacane) tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Campaign Oversight — List all email and SMS campaigns and retrieve detailed metadata and status information
- Performance Auditing — Retrieve real-time metrics including opens, clicks, and bounces for any specific campaign
- Audience Management — Manage multiple address books and organize your subscribers effectively
- Contact Synchronization — Add, update, and remove contacts from your lists programmatically
- Metadata Inspection — Fetch detailed configuration and settings for both campaigns and contact collections
The Mailify (Sarbacane) MCP Server exposes 9 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 Mailify (Sarbacane) to LlamaIndex via MCP
Follow these steps to integrate the Mailify (Sarbacane) 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 9 tools from Mailify (Sarbacane)
Why Use LlamaIndex with the Mailify (Sarbacane) MCP Server
LlamaIndex provides unique advantages when paired with Mailify (Sarbacane) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Mailify (Sarbacane) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Mailify (Sarbacane) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Mailify (Sarbacane), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Mailify (Sarbacane) tools were called, what data was returned, and how it influenced the final answer
Mailify (Sarbacane) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Mailify (Sarbacane) MCP Server delivers measurable value.
Hybrid search: combine Mailify (Sarbacane) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Mailify (Sarbacane) 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 Mailify (Sarbacane) for fresh data
Analytical workflows: chain Mailify (Sarbacane) queries with LlamaIndex's data connectors to build multi-source analytical reports
Mailify (Sarbacane) MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Mailify (Sarbacane) to LlamaIndex via MCP:
add_contact_to_book
Requires a list ID and contact data. Add a new contact to an address book
delete_book_contact
Remove a contact from an address book
get_address_book_details
Get details for a specific contact list
get_campaign_details
Get details for a specific campaign
get_campaign_performance
Get performance statistics for a campaign
list_address_books
List all contact lists (address books)
list_book_contacts
List contacts in a specific address book
list_email_campaigns
List all email marketing campaigns
update_book_contact
Update an existing contact in an address book
Example Prompts for Mailify (Sarbacane) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Mailify (Sarbacane) immediately.
"List all my current campaigns in Mailify."
"Show performance stats for campaign ID 'cp123'."
"Add 'new-lead@example.com' to address book ID 'bk987'."
Troubleshooting Mailify (Sarbacane) MCP Server with LlamaIndex
Common issues when connecting Mailify (Sarbacane) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMailify (Sarbacane) + LlamaIndex FAQ
Common questions about integrating Mailify (Sarbacane) 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 Mailify (Sarbacane) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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.
Type-safe agent development for Python with first-class MCP support.
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 Mailify (Sarbacane) to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.