Can my AI directly check why a specific SMS message failed to send?

Yes. When anomalous delivery states occur, the AI can query `list_messages` identifying problematic entries. Then, executing `get_message` feeding the discrete UUID returns explicit structural insights straight from Plivo’s carrier networks (e.g., 'Destination Not Found', 'Blocked by telecom firewall').

Is it possible to terminate a live stuck call from my text prompt?

Absolutely. If you detect logic loops keeping Voice trunks active in `list_calls`, instruct the agent to issue the `cancel_call` action. Supplying the precise UUID forces the HTTP architecture to literally send a `DELETE` tear-down protocol, instantly vaporizing the connection physically.

Can the agent interact with my billing limits to warn me?

Correct. Plivo natively exposes account architecture. Prompting the system to fetch `get_account` pulls cash balances, available capacity boundaries, and current currency mapping logic. It allows your Agent to perform autonomous diagnostics warning you natively before critical telecom endpoints shutdown due to zero-balance errors.

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

Name: Plivo
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 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.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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

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

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

Grant your AI agent the absolute capacity to bridge code into the global telecommunications network via Plivo. Circumvent visual dashboards entirely. You can instruct your personal LLM (Cursor, Claude) to dispatch real SMS text messages, bridge live VoIP calls across E.164 formats, or pull heavy financial billing limits proactively from the console.

LlamaIndex agents combine Plivo 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

Live SMS Outbound — Instruct your bot to dynamically dispatch send_sms payloads mapping precise strings to specific international destination variables without writing boilerplate bindings.
Voice Operations — Push strict XML logic routing into active PSTN grids. Initiate (make_call), actively trace connection lengths (get_call), or vaporize stuck voice sessions (cancel_call).
Telecom Auditing — Dive into messaging analytics. Query list_messages extracting exact 5xx delivery failures, retrieving explicitly why a telecom carrier rejected the frame (get_message).
Inventory & Capacity — Force the agent to interrogate your account for its exact active DID numbers (list_numbers), map VoIP registration footprints (list_endpoints), and monitor billing funds natively (get_account).

The Plivo 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 Plivo to LlamaIndex via MCP

Follow these steps to integrate the Plivo 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 10 tools from Plivo

Why Use LlamaIndex with the Plivo MCP Server

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

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

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

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

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.

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

Data enrichment: query Plivo 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 Plivo for fresh data

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

Plivo MCP Tools for LlamaIndex (10)

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

get_account_info

Get Plivo account details

get_call_details

Get specific call details

get_message_details

Get details for a specific message

list_calls

List recent voice calls

list_messages

List sent and received messages

list_plivo_numbers

List phone numbers in the account

list_sip_endpoints

List SIP endpoints

make_voice_call

Initiate an outbound voice call

send_sms

Send an SMS message

terminate_call

Hang up an active call

Example Prompts for Plivo in LlamaIndex

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

"Check Plivo account status and let me know my remaining wallet balance."

"Send an SMS message to `15551234567` from our main `15559876543` local number saying the servers are online."

"Check Plivo network to list all presently active voice phone calls."

Troubleshooting Plivo MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Plivo + LlamaIndex FAQ

Common questions about integrating Plivo MCP Server with LlamaIndex.

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.