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MRPLN MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Customer, Get Customer, Get Tactic Performance, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add MRPLN 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 for LlamaIndex

The MRPLN MCP Server for LlamaIndex is a standout in the Communication Messaging category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

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

asyncio.run(main())
MRPLN
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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 MRPLN MCP Server

Connect your MRPLN account to any AI agent to streamline your marketing automation and multi-channel customer engagement. MRPLN provides a unified platform for WhatsApp, SMS, and Email automation powered by AI.

LlamaIndex agents combine MRPLN 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

  • Customer Management — Create, update, and list customers to maintain a clean and actionable marketing database
  • WhatsApp Business API — Access your approved WABA templates and send highly engaging messages directly through Meta's official API
  • Multi-channel Messaging — Send immediate or automated messages via SMS and Email to reach your audience where they are
  • Tactic Monitoring — List and retrieve performance analytics for your marketing tactics to optimize ROI in real-time
  • Template Management — List and use pre-approved message templates for consistent brand communication

The MRPLN MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 MRPLN tools available for LlamaIndex

When LlamaIndex connects to MRPLN through Vinkius, your AI agent gets direct access to every tool listed below — spanning whatsapp-api, sms-marketing, email-automation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create customer on MRPLN

Create a new customer/lead

get

Get customer on MRPLN

Get details for a specific customer

get

Get tactic performance on MRPLN

Get performance analytics for a tactic

list

List customers on MRPLN

List all customers/leads

list

List tactics on MRPLN

List all marketing tactics

list

List waba templates on MRPLN

List WhatsApp Business templates

send

Send email message on MRPLN

Send an email

send

Send sms message on MRPLN

Send an SMS message

send

Send whatsapp message on MRPLN

Pass components as a JSON string. Send a WhatsApp message

update

Update customer on MRPLN

Update an existing customer

Connect MRPLN to LlamaIndex via MCP

Follow these steps to wire MRPLN into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind 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 10 tools from MRPLN

Why Use LlamaIndex with the MRPLN MCP Server

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

01

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

02

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

03

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

04

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

MRPLN + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query MRPLN 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 MRPLN for fresh data

04

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

Example Prompts for MRPLN in LlamaIndex

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

01

"List all customers in my MRPLN account."

02

"Send a WhatsApp message to +123456789 using the 'welcome_template'."

03

"Show me the performance of the 'Winter Sale' tactic."

Troubleshooting MRPLN MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

MRPLN + LlamaIndex FAQ

Common questions about integrating MRPLN 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 MRPLN 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.

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