Can I perform a quick search for a brand name?

Yes! Use the `post_search` action to trigger an immediate query. The tool will return a search hash, which you can then use with `get_mentions` to read the results.

How do I see the influencers for my tracked project?

Simply ask the agent to `get_influencers` and provide the Project ID. It will return the list of top voices mentioning your brand.

Does creating a search consume my account API credits?

Yes, standard API billing applies. You can always use the `get_remaining_credits` tool to check your quota before running large queries.

BrandMentions MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes

Name: BrandMentions
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 9 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect BrandMentions 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="BrandMentions Assistant",
            instructions=(
                "You help users interact with BrandMentions. "
                "You have access to 9 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from BrandMentions"
        )
        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 BrandMentions MCP Server

Connect your BrandMentions social listening account to any AI agent and orchestrate your brand monitoring workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 9 tools from BrandMentions through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries BrandMentions, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

On-the-Spot Searches — Trigger immediate web and social media searches for specific keywords and retrieve the results instantly.
Campaign Management — List all your active tracking projects or create new ones to continuously monitor your brand or competitors.
Mention Auditing — Retrieve detailed mentions and sentiment analysis for your ongoing projects.
Influencer Discovery — List key influencers associated with your tracked keywords and projects.
Credit Tracking — Check your API limits and remaining credits in real-time.

The BrandMentions MCP Server exposes 9 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 BrandMentions to OpenAI Agents SDK via MCP

Follow these steps to integrate the BrandMentions 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 9 tools from BrandMentions

Why Use OpenAI Agents SDK with the BrandMentions MCP Server

OpenAI Agents SDK provides unique advantages when paired with BrandMentions 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

BrandMentions + OpenAI Agents SDK Use Cases

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

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

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

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

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

BrandMentions MCP Tools for OpenAI Agents SDK (9)

These 9 tools become available when you connect BrandMentions to OpenAI Agents SDK via MCP:

add_project

Create a new project for daily tracking

delete_project

Delete a project

get_influencers

List influencers for a specific project

get_mentions

Get full results for a completed search job

get_processed_mentions

Get partial results for a running search job

get_project_mentions

Retrieve mentions for a specific project

get_remaining_credits

Get current API credits limit/usage

list_projects

List all active campaigns/projects

post_search

Start an on-the-spot search job

Example Prompts for BrandMentions in OpenAI Agents SDK

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

"List all active tracking projects in BrandMentions."

"Start a quick search for the keyword 'Vinkius'."

"Show me the top influencers for project proj_1."

Troubleshooting BrandMentions MCP Server with OpenAI Agents SDK

Common issues when connecting BrandMentions 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.

BrandMentions + OpenAI Agents SDK FAQ

Common questions about integrating BrandMentions 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.