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 OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Marchex
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Marchex through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Marchex Assistant",
            instructions=(
                "You help users interact with Marchex. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Marchex"
        )
        print(result.final_output)

asyncio.run(main())

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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 Marchex MCP Server

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

The OpenAI Agents SDK auto-discovers all 10 tools from Marchex through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Marchex, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Marchex MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Marchex

Why Use OpenAI Agents SDK with the Marchex MCP Server

OpenAI Agents SDK provides unique advantages when paired with Marchex through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Marchex + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Marchex MCP Server delivers measurable value.

Automated workflows: build agents that query Marchex, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Marchex, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Marchex tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Marchex to resolve tickets, look up records, and update statuses without human intervention

Marchex MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Marchex to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting Marchex to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Marchex + OpenAI Agents SDK FAQ

Common questions about integrating Marchex MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.