Callpicker MCP Server for AutoGenGive AutoGen instant access to 9 tools to Get Call Details, Get Cdr Report, Get Pbx System Status, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Callpicker as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The Callpicker app connector for AutoGen is a standout in the Communication Messaging category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="callpicker_agent",
tools=tools,
system_message=(
"You help users with Callpicker. "
"9 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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 Callpicker MCP Server
Connect your Callpicker account to any AI agent and take full control of your cloud-based business telephony and virtual PBX workflows through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Callpicker tools. Connect 9 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Call Orchestration — Programmatically initiate high-fidelity phone calls from your virtual PBX numbers to any destination worldwide directly through your agent
- Communication Intelligence — Monitor real-time incoming and outgoing call history and retrieve detailed logs and high-fidelity Call Detail Records (CDR)
- Recording Management — Access and retrieve secure download URLs for call recordings to maintain high-fidelity oversight of customer interactions
- PBX & Extension Architecture — Access your complete directory of virtual phone numbers and PBX extensions to coordinate your internal communication structure
- Operational Monitoring — Check real-time system status and generate performance reports over specific date ranges directly through your agent
The Callpicker MCP Server exposes 9 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 9 Callpicker tools available for AutoGen
When AutoGen connects to Callpicker through Vinkius, your AI agent gets direct access to every tool listed below — spanning cloud-pbx, call-recording, call-attribution, 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 details for a specific call
Get Call Detail Records (CDR)
Check PBX system status
Get the download URL for a recording
List recent call logs
List available call recordings
List PBX extensions
List virtual phone numbers
Initiate a phone call
Connect Callpicker to AutoGen via MCP
Follow these steps to wire Callpicker into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Callpicker MCP Server
AutoGen provides unique advantages when paired with Callpicker through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Callpicker tools to solve complex tasks
Role-based architecture lets you assign Callpicker tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Callpicker tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Callpicker tool responses in an isolated environment
Callpicker + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Callpicker MCP Server delivers measurable value.
Collaborative analysis: one agent queries Callpicker while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Callpicker, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Callpicker data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Callpicker responses in a sandboxed execution environment
Example Prompts for Callpicker in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Callpicker immediately.
"Initiate a call to '+1234567890' from my virtual number '+0987654321'."
"Show the last 5 call logs with duration and status."
"Get the download link for call recording ID '789'."
Troubleshooting Callpicker MCP Server with AutoGen
Common issues when connecting Callpicker to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Callpicker + AutoGen FAQ
Common questions about integrating Callpicker MCP Server with AutoGen.