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 LangChain 9 tools — connect in under 2 minutes

Name: BannerBite
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect BannerBite through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "bannerbite": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using BannerBite, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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 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.

LangChain's ecosystem of 500+ components combines seamlessly with BannerBite through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from BannerBite via MCP

Why Use LangChain with the BannerBite MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine BannerBite MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across BannerBite queries for multi-turn workflows

BannerBite + LangChain Use Cases

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

RAG with live data: combine BannerBite tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query BannerBite, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain BannerBite tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every BannerBite tool call, measure latency, and optimize your agent's performance

BannerBite MCP Tools for LangChain (9)

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

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

BannerBite + LangChain FAQ

Common questions about integrating BannerBite MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.