Mailsoftly MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mailsoftly 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 Mailsoftly. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Mailsoftly?"
)
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 Mailsoftly MCP Server
Connect your Mailsoftly account to any AI agent to automate your email marketing and audience management. This MCP server enables your agent to manage subscriber lists, create contacts, and trigger campaign sends directly from natural language interfaces.
LlamaIndex agents combine Mailsoftly tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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 Management — List all email campaigns, retrieve detailed metadata, and trigger official dispatches to targeted segments
- Audience Oversight — List and manage your subscriber collections (lists) and retrieve their unique identifiers
- Contact Control — Create new subscriber records and add contacts to specific lists programmatically
- Engagement Auditing — Retrieve a history of sent campaigns and monitor click-through data for performance analysis
- Database Ingestion — Sync contact information and manage subscriber data effortlessly via AI commands
The Mailsoftly MCP Server exposes 8 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 Mailsoftly to LlamaIndex via MCP
Follow these steps to integrate the Mailsoftly 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 8 tools from Mailsoftly
Why Use LlamaIndex with the Mailsoftly MCP Server
LlamaIndex provides unique advantages when paired with Mailsoftly through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Mailsoftly tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Mailsoftly tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Mailsoftly, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Mailsoftly tools were called, what data was returned, and how it influenced the final answer
Mailsoftly + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Mailsoftly MCP Server delivers measurable value.
Hybrid search: combine Mailsoftly real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Mailsoftly 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 Mailsoftly for fresh data
Analytical workflows: chain Mailsoftly queries with LlamaIndex's data connectors to build multi-source analytical reports
Mailsoftly MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Mailsoftly to LlamaIndex via MCP:
add_contact_to_list
Requires email and contact_list ID. Subscribe a contact to a specific list
create_base_contact
Requires email. Add a new contact to the database
get_campaign_click_data
Retrieve click engagement for a sent campaign
get_campaign_details
Get details for a specific campaign
list_marketing_campaigns
List all marketing campaigns
list_sent_history
List campaigns that have been sent
list_subscriber_collections
List all contact lists
send_campaign_to_all
Trigger the send process for a campaign
Example Prompts for Mailsoftly in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Mailsoftly immediately.
"List all my email campaigns in Mailsoftly."
"Add 'user@example.com' to my 'VIP Customers' list (ID: 'list-987')."
"Show click statistics for sent campaign ID 'cp456'."
Troubleshooting Mailsoftly MCP Server with LlamaIndex
Common issues when connecting Mailsoftly to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMailsoftly + LlamaIndex FAQ
Common questions about integrating Mailsoftly 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 Mailsoftly 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 Mailsoftly to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.