How do I get a Determ API Key?

Log in to your Determ account, navigate to **Settings > API**, and you can retrieve your unique API Key from that section.

Can the agent show the full text of an article?

Yes, you can use the get_mention_details tool to retrieve the full content and metadata for a specific mention found by Determ.

Is real-time monitoring supported?

Yes, the list_media_mentions tool retrieves the most recent mentions based on your query settings, providing real-time data from the Determ platform.

Determ MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Determ
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 Determ 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="Determ Assistant",
            instructions=(
                "You help users interact with Determ. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 Determ MCP Server

Integrate Determ (formerly Mediatoolkit), the powerful media monitoring and social listening platform, directly into your AI workflow. Track brand mentions across the web and social media, analyze sentiment trends, and monitor your competitive landscape using natural language.

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

What you can do

Mention Monitoring — List and retrieve real-time media mentions for your keywords and topics from over 100 million sources.
Sentiment Intelligence — Retrieve a breakdown of sentiment (positive, neutral, negative) for any of your monitoring queries.
Query Management — List and review your configured monitoring queries and their specific settings.
Analytics Reporting — Access metadata for your media monitoring and analytics reports directly via chat.

The Determ 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 Determ to OpenAI Agents SDK via MCP

Follow these steps to integrate the Determ 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 Determ

Why Use OpenAI Agents SDK with the Determ MCP Server

OpenAI Agents SDK provides unique advantages when paired with Determ 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

Determ + OpenAI Agents SDK Use Cases

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

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

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

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

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

Determ MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Determ to OpenAI Agents SDK via MCP:

get_account_metadata

Retrieve settings and limits for your Determ account

get_mention_details

Get full content and technical metadata for a specific media mention

get_monitoring_query_details

Get detailed settings and status for a specific monitoring query

get_query_sentiment_summary

Retrieve a breakdown of sentiment (positive, neutral, negative) for a specific query

list_analytics_reports

List all available analytics and media monitoring reports

list_media_mentions

List recent media mentions for a specific monitoring query

list_monitoring_queries

List all media monitoring queries (keywords/topics) in your Determ account

list_recent_high_reach_mentions

List only the mentions with the highest estimated reach

list_top_media_sources

Identify the media sources with the highest volume of mentions (mock logic)

search_mentions_by_keyword

Search for specific keywords within the mentions of a monitoring query

Example Prompts for Determ in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Determ immediately.

"List my active monitoring queries."

"Show me the sentiment breakdown for the 'Main Competitor' query."

"What are the top media sources for 'Industry Trends'?"

Troubleshooting Determ MCP Server with OpenAI Agents SDK

Common issues when connecting Determ 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.

Determ + OpenAI Agents SDK FAQ

Common questions about integrating Determ 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.