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 LlamaIndex 9 tools — connect in under 2 minutes

Name: BannerBite
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BannerBite as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to BannerBite. "
            "You have 9 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in BannerBite?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine BannerBite tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 9 tools from BannerBite

Why Use LlamaIndex with the BannerBite MCP Server

LlamaIndex provides unique advantages when paired with BannerBite through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine BannerBite tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain BannerBite tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query BannerBite, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what BannerBite tools were called, what data was returned, and how it influenced the final answer

BannerBite + LlamaIndex Use Cases

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

Hybrid search: combine BannerBite real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query BannerBite to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying BannerBite for fresh data

Analytical workflows: chain BannerBite queries with LlamaIndex's data connectors to build multi-source analytical reports

BannerBite MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect BannerBite to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

BannerBite + LlamaIndex FAQ

Common questions about integrating BannerBite MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query BannerBite tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.