Mcp Openvto
Open Virtual try-on (VTO) C++ MCP server leveraging Ollama, Local (or Couchbase), and IDM-VTON Deep Learning Model. 💀❤️🔥
Install
$ agentstack add mcp-nkapila6-mcp-openvto ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/mcp-nkapila6-mcp-openvto) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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
dbfolder (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.
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
Because why not? 😄 Using local CSV vector search.
https://github.com/user-attachments/assets/b564d9a3-a65c-4d52-9acf-c96676b85335
Contributions
Always welcome to contribute.
License
This project is licensed under the MIT License.
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: nkapila6
- Source: nkapila6/mcp-openvto
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.