Easelly MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Create Infographic, Generate Image, Generate Json, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Easelly as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Easelly app connector for LlamaIndex 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 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 Easelly. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Easelly?"
)
print(response)
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.
LlamaIndex agents combine Easelly tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- 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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire Easelly into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Easelly MCP Server
LlamaIndex provides unique advantages when paired with Easelly through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Easelly tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Easelly tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Easelly, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Easelly tools were called, what data was returned, and how it influenced the final answer
Easelly + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Easelly MCP Server delivers measurable value.
Hybrid search: combine Easelly real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Easelly 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 Easelly for fresh data
Analytical workflows: chain Easelly queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Easelly in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Easelly to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEaselly + LlamaIndex FAQ
Common questions about integrating Easelly MCP Server with LlamaIndex.