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Aimtell MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Aimtell as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

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 Aimtell. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
Aimtell
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* 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 Aimtell MCP Server

Connect your Aimtell account to your AI agent to unlock professional web push notification management. From sending one-off alerts to specific subscribers to auditing segment criteria and monitoring real-time campaign analytics, your agent handles your re-engagement strategy through natural conversation.

LlamaIndex agents combine Aimtell 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

  • Campaign Orchestration — List and manage push notification campaigns, including one-off, triggered, and API campaigns
  • Subscriber Management — Retrieve details for specific subscribers and update custom attributes for personalization
  • Segmentation Oversight — List and audit your subscriber segments to ensure your targeting is always precise
  • Real-time Analytics — Retrieve granular performance data (clicks, sends, conversions) for any campaign directly from chat
  • Multi-site Support — List and manage the different websites associated with your Aimtell account

The Aimtell 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 Aimtell to LlamaIndex via MCP

Follow these steps to integrate the Aimtell MCP Server with LlamaIndex.

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 10 tools from Aimtell

Why Use LlamaIndex with the Aimtell MCP Server

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

01

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

02

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

03

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

04

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

Aimtell + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Aimtell 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 Aimtell for fresh data

04

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

Aimtell MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Aimtell to LlamaIndex via MCP:

01

add_subscriber_attribute

Add custom data to subscriber

02

get_campaign_performance

Get campaign metrics

03

get_subscriber_details

Get subscriber metadata

04

list_api_campaigns

List API-triggered campaigns

05

list_campaigns

List push campaigns

06

list_segments

List subscriber segments

07

list_sites

List managed websites

08

list_subscribers

List site subscribers

09

list_triggered_campaigns

List automated campaigns

10

send_one_off_notification

Send an alert

Example Prompts for Aimtell in LlamaIndex

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

01

"List all active segments in my Aimtell account."

02

"Show me the performance for campaign ID 12345."

03

"Send a one-off push to segment 9876 with title 'Special Offer' and body 'Get 20% off today only!'."

Troubleshooting Aimtell MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Aimtell + LlamaIndex FAQ

Common questions about integrating Aimtell 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 Aimtell 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.

Connect Aimtell to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.