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

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Plivo through Vinkius, pass the Edge URL in the `mcps` parameter and every Plivo tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Plivo app connector for CrewAI 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
from crewai import Agent, Task, Crew

agent = Agent(
    role="Plivo Specialist",
    goal="Help users interact with Plivo effectively",
    backstory=(
        "You are an expert at leveraging Plivo tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Plivo "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
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.

When paired with CrewAI, Plivo becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Plivo tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 11 tools from Plivo

Why Use CrewAI with the Plivo MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Plivo through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Plivo + CrewAI Use Cases

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

01

Automated multi-step research: a reconnaissance agent queries Plivo for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Plivo, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Plivo tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Plivo against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Plivo in CrewAI

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

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Plivo + CrewAI FAQ

Common questions about integrating Plivo MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.