Easelly MCP Server for LangChainGive LangChain instant access to 6 tools to Create Infographic, Generate Image, Generate Json, and more
LangChain is the leading Python framework for composable LLM applications. Connect Easelly through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this App Connector for LangChain
The Easelly app connector for LangChain is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"easelly": {
"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 Easelly, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Easelly MCP Server
Connect your Easelly Pro account to any AI agent and take full control of your visual content creation and automated infographic workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Easelly through native MCP adapters. Connect 6 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
- Design Orchestration — List and manage all infographics in your Easel.ly account and retrieve detailed metadata about themes and objects programmatically
- Automated Export — Programmatically generate high-fidelity PDF, JPG, or PNG versions of your designs for immediate use in marketing or education
- Structure Intelligence — Access the raw JSON representation of any infographic to understand layer hierarchies and content distributions programmatically
- Dynamic Creation — Create new infographics from scratch or existing templates and update content programmatically directly through your agent
- Visual Maintenance — Programmatically delete or update infographic metadata to maintain a clean and structured visual asset library
The Easelly MCP Server exposes 6 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.
All 6 Easelly tools available for LangChain
When LangChain connects to Easelly through Vinkius, your AI agent gets direct access to every tool listed below — spanning easelly, infographics-api, graphic-design, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new infographic
Generate an image for an infographic
Get infographic structure in JSON
Generate a PDF for an infographic
ly account. List your infographics
Update an existing infographic
Connect Easelly to LangChain via MCP
Follow these steps to wire Easelly into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Easelly MCP Server
LangChain provides unique advantages when paired with Easelly through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Easelly 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 Easelly queries for multi-turn workflows
Easelly + LangChain Use Cases
Practical scenarios where LangChain combined with the Easelly MCP Server delivers measurable value.
RAG with live data: combine Easelly tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Easelly, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Easelly tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Easelly tool call, measure latency, and optimize your agent's performance
Example Prompts for Easelly in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Easelly immediately.
"List all my infographics in Easelly."
"Generate a PDF version for infographic 'inf_123'."
"Export infographic ID 'inf_456' as a PNG image."
Troubleshooting Easelly MCP Server with LangChain
Common issues when connecting Easelly to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersEaselly + LangChain FAQ
Common questions about integrating Easelly MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.