How do I specify which text to change in a template?

When using the `generate_media` tool, provide a JSON string in the `modifications_json` parameter. Use the layer names from your BannerBite project as keys (e.g., `{"text_1": "New Headline"}`). Your agent can help you identify these layers by listing project bites.

Can I generate static images instead of videos?

Yes. Use the `generate_image` tool for static PNG files or `generate_video` for MP4 files. Both tools allow for the same dynamic layer modifications through natural language commands.

Where do I find the final generated media file?

The generation tools return a Render object containing a public URL. You can also use the `get_render` tool with a Render ID to retrieve the status and download link for any recent production.

BannerBite MCP Server for CrewAI 9 tools — connect in under 2 minutes

Name: BannerBite
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to BannerBite through Vinkius, pass the Edge URL in the `mcps` parameter and every BannerBite tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="BannerBite Specialist",
    goal="Help users interact with BannerBite effectively",
    backstory=(
        "You are an expert at leveraging BannerBite tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in BannerBite "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

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

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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 BannerBite MCP Server

Empower your AI agent to orchestrate your visual content production with BannerBite, the powerful media generation engine. By connecting BannerBite to your agent, you transform complex graphic design tasks into a natural conversation. Your agent can instantly generate custom images or videos from your pre-defined templates, audit recent renders, and list project scenes (bites) without you ever touching a design tool. Whether you're automating social media assets or personalizing marketing graphics, your agent acts as a real-time creative production manager for your brand.

When paired with CrewAI, BannerBite becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call BannerBite tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Media Generation — Generate high-quality images (PNG) or videos (MP4) from templates by providing dynamic layer modifications via natural language.
Project Oversight — List and explore all BannerBite projects and their associated scenes (bites) to map your creative assets.
Render Auditing — Retrieve and list recent media renders, checking statuses and accessing final delivery URLs instantly.
Dynamic Modifications — Update text, images, and other layers within a template dynamically during the generation process.
Creative Automation — Integrate visual media generation directly into your AI workflows for rapid content scaling.

The BannerBite MCP Server exposes 9 tools through the Vinkius. Connect it to CrewAI 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 BannerBite to CrewAI via MCP

Follow these steps to integrate the BannerBite MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 9 tools from BannerBite

Why Use CrewAI with the BannerBite MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with BannerBite through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

BannerBite + CrewAI Use Cases

Practical scenarios where CrewAI combined with the BannerBite MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries BannerBite for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries BannerBite, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain BannerBite tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries BannerBite against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

BannerBite MCP Tools for CrewAI (9)

These 9 tools become available when you connect BannerBite to CrewAI via MCP:

generate_image

Convenience tool to generate a static image from a project

generate_media

Generate an image or video from a template

generate_video

Convenience tool to generate a video from a project

get_account_check

Verify Bannerbite connection

get_project

Get details for a specific project

get_render

Get details and status for a specific render

list_bites

List all bites (scenes) for a specific project

list_projects

List all Bannerbite projects

list_renders

List all recent media renders

Example Prompts for BannerBite in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with BannerBite immediately.

"List all my BannerBite projects."

"Generate an image for project 'Summer Sale' with text '50% OFF' on layer 'headline'."

"Show me the status of my recent renders."

Troubleshooting BannerBite MCP Server with CrewAI

Common issues when connecting BannerBite to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

BannerBite + CrewAI FAQ

Common questions about integrating BannerBite MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.