How do I find my Marchex Client ID and Secret?

Log in to the Marchex Developer Console and create an application to receive your credentials.

What call data can I access?

You can access call metadata, duration, caller info, status, and aggregated performance metrics.

Is my integration secure?

Absolutely. Your credentials are encrypted at rest and injected securely at runtime.

Marchex MCP Server for AutoGen 10 tools — connect in under 2 minutes

Name: Marchex
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Marchex as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="marchex_agent",
            tools=tools,
            system_message=(
                "You help users with Marchex. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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 Marchex MCP Server

Connect your Marchex account to any AI agent and take full control of your conversation intelligence through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Marchex 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 Tracking — Search for calls, fetch detailed metadata, and monitor statuses
Campaign Management — List and inspect tracking campaigns and their configurations
Number Management — Manage tracking phone numbers and account structures
Analytics — Retrieve aggregated performance metrics and call analytics

The Marchex 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 Marchex to AutoGen via MCP

Follow these steps to integrate the Marchex 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 Marchex automatically

Why Use AutoGen with the Marchex MCP Server

AutoGen provides unique advantages when paired with Marchex through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Marchex tools to solve complex tasks

Role-based architecture lets you assign Marchex 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 Marchex tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Marchex tool responses in an isolated environment

Marchex + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Marchex MCP Server delivers measurable value.

Collaborative analysis: one agent queries Marchex while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Marchex, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Marchex data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Marchex responses in a sandboxed execution environment

Marchex MCP Tools for AutoGen (10)

These 10 tools become available when you connect Marchex to AutoGen via MCP:

get_account_details

Get details for a specific account

get_call_analytics

Get call analytics

get_call_details

Get details for a specific call

get_campaign_details

Get details for a specific campaign

get_number_details

Get details for a specific number

list_accounts

List all accounts

list_campaigns

List all campaigns

list_numbers

List all tracking numbers

list_users

List all users

search_calls

Search for phone calls

Example Prompts for Marchex in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Marchex immediately.

"Search for calls from last week."

"List active tracking campaigns."

"Show call analytics for today."

Troubleshooting Marchex MCP Server with AutoGen

Common issues when connecting Marchex to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Marchex + AutoGen FAQ

Common questions about integrating Marchex MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Marchex tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.