Mcp Openvto MCP Server — Cursor MCP Integration
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    AI/ML

    Mcp Openvto MCP Server

    April 15, 2026
    10 copies

    Open Virtual try-on (VTO) C++ MCP server leveraging Ollama, Local (or Couchbase), and IDM-VTON Deep Learning Model. 💀❤️‍🔥

    Description

    <a href='https://github.com/nkapila6/mcp-openvto/'><img src='https://github.com/user-attachments/assets/23d6b7fa-5037-4090-990a-b289140bece5' width='200' height='200'></a>

    mcp-openvto

    MCP SSE server that allows you to do Virtual Try-On through LLM Chat using a back-end db hosted locally or through the cloud (Couchbase) and Replicate APIs.

    Attribution

    The MCP server uses the following services / libraries.

    • cpp-mcp: C++ MCP Client and Server library.
    • Eigen C++ library: C++ mathematical linear algebra library.
    • Ollama: C++ bindings for Ollama API.
    • [Couchbase] (optional)

    Requirements

    • The .CSV file in the db folder (required if not using Couchbase)
    • CSV files alongside embeddings uploaded to Couchbase (local) or Couchbase Capella (Cloud). Works on free tier!
    • Ollama
    • ... coming soon...

    Configuration

    Coming soon

    Why C++?

    I already built 2 MCP servers in Python before and the dependencies and Docker image sizes were too huge. Yes, I could have used an easier example like GoLang but I thought why not!

    This project taught me how much I take Python abstractions for granted. 💀 C/C++ humbles you that way.

    And yes, doing it in C++ was advantageous. <img width="263" alt="image" src="https://github.com/user-attachments/assets/9e70c769-b096-4a4c-88e6-0d66e9423730" />

    Example inferences

    Basic example

    A basic example using Couchbase (Cloud) services.

    https://github.com/user-attachments/assets/30166f61-3b60-4890-b3c9-7ccf5c1c3f32

    Regressive inference (Experimental)

    An example of a regressive inference using the MCP server with Couchbase (Cloud) services. Regressive here means you can use previous output as the base image to virtual transfer on, e.g. T-Shirt Try On -> Pant Try On using T-Shirt Try On Image.

    https://github.com/user-attachments/assets/cc85c216-99ec-4aff-a583-48b7735dbcaf

    Meme-ing

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