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Sender.net MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Campaign, Create Subscriber, Delete Subscriber, and more

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Sender.net 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 App Connector for LlamaIndex

The Sender.net app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 Sender.net. "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Sender.net?"
    )
    print(response)

asyncio.run(main())
Sender.net
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About Sender.net MCP Server

Connect your Sender.net account to any AI agent and take full control of your email marketing orchestration through natural conversation. Sender.net provides a powerful and affordable platform for managing subscribers, creating automated campaigns, and tracking engagement, and this integration allows you to orchestrate your entire marketing ecosystem without leaving your chat interface.

LlamaIndex agents combine Sender.net tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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

  • Subscriber & Audience Orchestration — List all managed subscribers and retrieve detailed profile metadata, including creating and organizing contacts into groups programmatically.
  • Campaign Performance Intelligence — Retrieve real-time analytics for sent campaigns, including open rates, click-through rates, and subscriber growth via natural language.
  • Group & Segment Control — Manage your subscriber lists and group associations to ensure your targeted communication is always synchronized directly from the AI interface.
  • Transactional Messaging Management — Access account profile metadata and monitor campaign delivery statuses using simple AI commands.
  • Operational Monitoring — Track system activity and monitor audience health to ensure your marketing operations are always optimized.

The Sender.net MCP Server exposes 11 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.

All 11 Sender.net tools available for LlamaIndex

When LlamaIndex connects to Sender.net through Vinkius, your AI agent gets direct access to every tool listed below — spanning sender, email-marketing, newsletter-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_campaign

Create a new email campaign

create_subscriber

Add a new subscriber

delete_subscriber

Remove a subscriber

get_campaign_analytics

Get performance metrics

get_group

Get details for a subscriber group

get_subscriber_details

Get details for a subscriber

get_user_profile

Get your Sender.net profile

list_email_campaigns

List all sent and draft campaigns

list_subscriber_groups

List your contact groups

list_subscribers

Supports filtering by group or status. List your Sender.net subscribers

update_subscriber

Update subscriber information

Connect Sender.net to LlamaIndex via MCP

Follow these steps to wire Sender.net into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 11 tools from Sender.net

Why Use LlamaIndex with the Sender.net MCP Server

LlamaIndex provides unique advantages when paired with Sender.net through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Sender.net tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Sender.net tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Sender.net, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Sender.net tools were called, what data was returned, and how it influenced the final answer

Sender.net + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Sender.net MCP Server delivers measurable value.

01

Hybrid search: combine Sender.net real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Sender.net to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Sender.net for fresh data

04

Analytical workflows: chain Sender.net queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Sender.net in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Sender.net immediately.

01

"List all active campaigns in my Sender.net account."

02

"Show me the subscriber analytics with engagement segments and list health metrics."

03

"Create a new email campaign for the Product Updates group announcing our latest feature release."

Troubleshooting Sender.net MCP Server with LlamaIndex

Common issues when connecting Sender.net to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Sender.net + LlamaIndex FAQ

Common questions about integrating Sender.net MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Sender.net tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.