autoRetouch MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Execution, Get Batch, Get Execution, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add autoRetouch 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 autoRetouch app connector for LlamaIndex is a standout in the Ecommerce category — giving your AI agent 11 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 autoRetouch. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in autoRetouch?"
)
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 autoRetouch MCP Server
Connect your autoRetouch account to any AI agent and take full control of your automated image editing and high-fidelity retouching workflows through natural conversation.
LlamaIndex agents combine autoRetouch tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Workflow Orchestration — Execute complex high-fidelity AI workflows for background removal, color correction, and shadow generation programmatically
- Bulk Processing Intelligence — Programmatically upload raw images and monitor their processing status in real-time to maintain a perfectly coordinated media pipeline
- Result Discovery — Retrieve high-fidelity result URLs for processed images and access detailed metadata for every individual execution
- Lifecycle Management — Group multiple executions into tracked batches to oversee your organization's image editing volume efficiently
- Financial Visibility — Access your organization's wallet balance and profile metadata directly through your agent for instant operational reporting
The autoRetouch MCP Server exposes 11 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 11 autoRetouch tools available for LlamaIndex
When LlamaIndex connects to autoRetouch through Vinkius, your AI agent gets direct access to every tool listed below — spanning photo-editing, background-removal, image-processing, 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.
Returns the execution ID. Start an image processing execution
Get details of a specific batch
Get details of a specific execution
Get details of a specific image
Get organization details
Get account wallet balance
Get details of a specific workflow
List all batches
List recent executions
List uploaded images
List all image processing workflows
Connect autoRetouch to LlamaIndex via MCP
Follow these steps to wire autoRetouch 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 autoRetouch MCP Server
LlamaIndex provides unique advantages when paired with autoRetouch through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine autoRetouch tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain autoRetouch tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query autoRetouch, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what autoRetouch tools were called, what data was returned, and how it influenced the final answer
autoRetouch + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the autoRetouch MCP Server delivers measurable value.
Hybrid search: combine autoRetouch real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query autoRetouch 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 autoRetouch for fresh data
Analytical workflows: chain autoRetouch queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for autoRetouch in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with autoRetouch immediately.
"List all active image processing workflows in my organization."
"Run the 'Ghost Mannequin' workflow (ID: 'wf_123') on image ID 'img_456'."
"Check status and get the result URL for execution 'exec_789'."
Troubleshooting autoRetouch MCP Server with LlamaIndex
Common issues when connecting autoRetouch to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpautoRetouch + LlamaIndex FAQ
Common questions about integrating autoRetouch MCP Server with LlamaIndex.