CallGear MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add CallGear as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="callgear_agent",
tools=tools,
system_message=(
"You help users with CallGear. "
"10 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 CallGear MCP Server
Connect your CallGear account to any AI agent and orchestrate your communication analytics, marketing attribution, and call tracking through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use CallGear tools. Connect 10 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 Performance Oversight — Retrieve detailed reports of all incoming and outgoing calls, including sources, durations, and statuses.
- Marketing Attribution — Monitor advertising campaign performance and identify which sources are driving the most communications.
- Communication Analysis — Get broader reports covering calls, chats, and other interactions to ensure service quality.
- Infrastructure Coordination — Access and monitor your traffic sources, call scenarios, and tags directly from your workspace.
- User & Team Oversight — List all users in your CallGear account to maintain visibility across your team.
- Real-time Statistics — Retrieve daily site and campaign stats straight from your workspace.
The CallGear MCP Server exposes 10 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.
How to Connect CallGear to AutoGen via MCP
Follow these steps to integrate the CallGear MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from CallGear automatically
Why Use AutoGen with the CallGear MCP Server
AutoGen provides unique advantages when paired with CallGear through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use CallGear tools to solve complex tasks
Role-based architecture lets you assign CallGear 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 CallGear tool calls
Code execution sandbox: AutoGen agents can write and run code that processes CallGear tool responses in an isolated environment
CallGear + AutoGen Use Cases
Practical scenarios where AutoGen combined with the CallGear MCP Server delivers measurable value.
Collaborative analysis: one agent queries CallGear while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from CallGear, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using CallGear data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process CallGear responses in a sandboxed execution environment
CallGear MCP Tools for AutoGen (10)
These 10 tools become available when you connect CallGear to AutoGen via MCP:
get_account_info
Retrieve core account information
get_ad_campaigns_report
Retrieve daily aggregated statistics for advertising campaigns
get_calls_report
Retrieve a detailed report of calls for a specific period
get_communications_report
Retrieve a report covering various communication types (calls, chats, etc.)
get_site_daily_stats
Retrieve daily statistics for sites
list_ad_campaigns
List all advertising campaigns
list_call_scenarios
List all configured call scenarios
list_tags
List all call and communication tags
list_traffic_sources
List all traffic sources configured in CallGear
list_users
List all users in the CallGear account
Example Prompts for CallGear in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with CallGear immediately.
"Show the calls report from March 1st to March 7th."
"Which advertising campaigns are active right now?"
"Show daily stats for my website for the last 3 days."
Troubleshooting CallGear MCP Server with AutoGen
Common issues when connecting CallGear to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"CallGear + AutoGen FAQ
Common questions about integrating CallGear MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect CallGear with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect CallGear to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
