# matlab-mcp-server-bridge

> matlab-mcp-server-bridge — jones220-purdue-matlab-mcp-server-bridge. Use this tool when you need to integrate MATLAB with AI assistants in high-performance computing environments, enabling remote interaction with local or remote MATLAB sessions via HTTP. It solves problems of accessibility and compatibility by wrapping the MATLAB MCP server into an HTTP proxy using FastMCP. This bridge accepts HTTP inputs and outputs MATLAB session interactions, ideal for use cases requiring seamless communication between AI agents and MATLAB in HPC settings.

Canonical page: https://skillsregistry.net/skills/jones220-purdue-matlab-mcp-server-bridge  
JSON: https://api.skillsregistry.net/v1/skills/jones220-purdue-matlab-mcp-server-bridge

## Description

A Python-based bridge that wraps the MATLAB MCP server into an HTTP proxy using FastMCP, enabling AI assistants to interact with local or remote MATLAB sessions via HTTP, particularly useful in HPC environments.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pqdpqfl06s)
- **Repository:** <https://github.com/jones220-purdue/matlab-mcp-server-bridge>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jones220-purdue-matlab-mcp-server-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jones220-purdue-matlab-mcp-server-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jones220-purdue-matlab-mcp-server-bridge/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt