How to Use the GenerateBanners MCP in CrewAI

Q: How do I connect CrewAI to the GenerateBanners MCP Server?

Pass the endpoint URL directly into the mcps array on your agent definition. The framework automatically parses the twelve available tools and adds them to the agent's context window.

Q: Can I restrict which GenerateBanners tools my CrewAI agents see?

You can use toolfilter in your Python setup. Give the researcher agent access to template discovery while restricting the actual rendering commands to the producer agent.

Q: How does the crew know if the MCP Server is online?

You can assign a dedicated monitor agent to run checkgbstatus. If the endpoint returns an error, the monitor can halt the entire crew before they attempt to render anything.

Deploy CrewAI agents with the GenerateBanners MCP Server to run an autonomous design studio that builds and sorts ad creatives.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect GenerateBanners MCP to CrewAI

Create your Vinkius account to connect GenerateBanners to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup GenerateBanners with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous Design Research

`search_templates` and `get_template` let your CrewAI researcher agent find the exact visual layout via this MCP integration. The agent queries the database for specific keywords, analyzes the returned schemas, and determines which text layers the design requires. Once the researcher picks a layout, it passes the template ID and field requirements to the next agent in your sequence. The crew coordinates the design phase entirely on its own, matching your raw copy to the correct visual constraints.

High-Volume Production

`render_batch` gives your CrewAI producer agent the ability to stamp out hundreds of localized banners in one motion. The producer takes the matched copy and template IDs, formats them into a single payload, and fires the tool. Because CrewAI supports shared memory, the producer remembers exactly which variations it already generated. It skips duplicates and only spends compute on new localized graphics for different regional markets.

Automated Asset Sorting

The GenerateBanners MCP Server provides `create_project` and `list_categories` so your manager agent can sort assets without human input. After the producer finishes rendering, the manager creates a dedicated folder for the specific ad network. You configure the `MCPServerHTTP` class in Python to expose these specific tools to the manager while hiding the rendering tools. This strict role separation prevents the manager from accidentally triggering duplicate image generation tasks.

Setup guide

Set up GenerateBanners MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke GenerateBanners tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="GenerateBanners Analyst",
    goal="Access and analyze GenerateBanners data via MCP.",
    backstory="Expert analyst with direct GenerateBanners access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent GenerateBanners transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="GenerateBanners Analyst",
        goal="Access and analyze GenerateBanners data via MCP.",
        backstory="Expert analyst with direct GenerateBanners access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent GenerateBanners transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GenerateBanners. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect GenerateBanners now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about GenerateBanners MCP in CrewAI

Pass the endpoint URL directly into the `mcps` array on your agent definition. The framework automatically parses the twelve available tools and adds them to the agent's context window.

You can use `tool_filter` in your Python setup. Give the researcher agent access to template discovery while restricting the actual rendering commands to the producer agent.

You can assign a dedicated monitor agent to run `check_gb_status`. If the endpoint returns an error, the monitor can halt the entire crew before they attempt to render anything.

The tool returns a strict schema validation error. CrewAI agents read this error, adjust their JSON payload to fit the template constraints, and try the request again.

The server reads your pre-release campaign slogans and hex codes through a zero-trust boundary. It applies the text to the canvas and purges the raw input from memory the second the HTTP response fires back to your Python environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript