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Plivo MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Get Account Info, Get Call Details, Get Message Details, 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 Plivo 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 Plivo 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 Plivo. "
            "You have 11 tools available."
        ),
    )

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

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

Connect your Plivo communications account to any AI agent and take full control of your global telephony and messaging orchestration through natural conversation. Plivo provides a world-class platform for SMS and Voice services, and this integration allows you to send text messages, retrieve call logs, and manage rented phone numbers directly from your chat interface.

LlamaIndex agents combine Plivo 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

  • SMS & Messaging Orchestration — Send and monitor SMS and MMS messages globally programmatically to ensure your customer engagement is always synchronized.
  • Call Monitoring Intelligence — Query all recorded call logs and retrieve real-time metadata, including duration, cost, and status metrics directly from the AI interface.
  • Number Management Control — List all rented phone numbers and manage their configurations via natural language to maintain a clear overview of your communication reach.
  • XML Application Oversight — List and oversee your configured Plivo applications to understand your automated call and message handling logic using simple AI commands.
  • Operational Monitoring — Retrieve account profile information, balance, and credits to ensure your communication pipeline is always optimized.

The Plivo 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 Plivo tools available for LlamaIndex

When LlamaIndex connects to Plivo through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-api, voice-api, telephony-automation, 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.

get_account_info

Retrieve current Plivo account details

get_call_details

Get details for a specific call

get_message_details

Get details for a specific message

get_number_details

Get details for a specific phone number

get_recording

Get details for a specific recording

list_applications

List all Plivo XML applications

list_calls

List all call logs

list_messages

List all message logs

list_numbers

List all rented phone numbers

list_recordings

List all call recordings

send_sms

Requires a verified Plivo source number or Sender ID and the recipient number in E.164 format. Send a new SMS message

Connect Plivo to LlamaIndex via MCP

Follow these steps to wire Plivo 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 Plivo

Why Use LlamaIndex with the Plivo MCP Server

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

01

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

02

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

03

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

04

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

Plivo + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Plivo 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 Plivo for fresh data

04

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

Example Prompts for Plivo in LlamaIndex

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

01

"List my last 5 SMS messages on Plivo."

02

"Send an SMS notification to all customers in the delivery queue with their tracking numbers."

03

"Show me all phone numbers in my Plivo account with their capabilities and monthly costs."

Troubleshooting Plivo MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Plivo + LlamaIndex FAQ

Common questions about integrating Plivo 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 Plivo 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.