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Plivo MCP Server for LangChainGive LangChain instant access to 11 tools to Get Account Info, Get Call Details, Get Message Details, and more

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Plivo through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this App Connector for LangChain

The Plivo app connector for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "plivo-extended": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Plivo, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Plivo
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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

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.

LangChain's ecosystem of 500+ components combines seamlessly with Plivo through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 11 tools from Plivo via MCP

Why Use LangChain with the Plivo MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Plivo MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Plivo queries for multi-turn workflows

Plivo + LangChain Use Cases

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

01

RAG with live data: combine Plivo tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Plivo, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Plivo tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Plivo tool call, measure latency, and optimize your agent's performance

Example Prompts for Plivo in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Plivo + LangChain FAQ

Common questions about integrating Plivo MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.