How to Use the Placetel MCP in CrewAI
Deploy autonomous agent crews to monitor your Placetel VoIP system with CrewAI. Delegate monitoring, investigation, and reporting.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Placetel MCP to CrewAI
Create your Vinkius account to connect Placetel to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Deploy a 24/7 VoIP Monitoring Crew
Stop watching dashboards and let a crew of agents do it for you. Assign a 'Monitor Agent' the task of periodically running `list_calls`. If it spots an unusual number of failed calls, it passes the details to an 'Investigator Agent'. The Investigator Agent then gets to work. It uses `list_call_detail_records` to find the exact time of the failures, then checks `list_sip_users` and `list_devices` to see if the issue is tied to specific accounts or hardware. The crew's findings are then handed to a 'Reporter Agent' to summarize the incident.
Run Autonomous Resource Audits
You can build a crew dedicated to keeping your Placetel account organized. An 'Audit Agent' can be tasked with running `list_users` and `list_groups` weekly. It passes its findings to an 'Analyst Agent'. The Analyst Agent's job is to find discrepancies. It compares the user list to the group list, checks for users not in any group, or empty groups. It can also use `list_numbers` to check for unassigned phone numbers. This provides a constant, automated check on your configuration.
Delegate Call Performance Analysis
Find out how your team is using the phone system without crunching numbers yourself. A 'Data Mining Agent' can use the `list_call_detail_records` tool to pull all call data from the past month. It hands this raw data over to a 'Metrics Agent'. This second agent processes the data, calculating key metrics like average call duration, call volume by time of day, and most frequently dialed numbers. The final summary can be used to understand usage patterns and capacity needs. This MCP server gives your CrewAI agents the raw data they need to get started.
Set up Placetel MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Placetel tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Placetel Analyst",
goal="Access and analyze Placetel data via MCP.",
backstory="Expert analyst with direct Placetel access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Placetel transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Placetel Analyst",
goal="Access and analyze Placetel data via MCP.",
backstory="Expert analyst with direct Placetel access.",
tools=mcp_tools,
)
task = Task(
description="List recent Placetel transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Placetel. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Placetel MCP in CrewAI
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