# flex-sensor-agent-mcp

> Use this tool when you need to simulate and analyze flexible pressure sensors, as it enables AI agents to perform complex simulations, including DXF analysis and contact model building, with natural language inputs and result exports. It solves problems related to sensor design and optimization, allowing for parameter sweeping and detailed analysis. Ideal for use in contexts where rapid prototyping and simulation-based design are crucial, such as research and development of flexible sensor technologies.

Canonical page: https://skillsregistry.net/skills/tonghui666-flex-sensor-agent-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tonghui666-flex-sensor-agent-mcp

## Description

An MCP server for COMSOL Multiphysics that enables AI agents to perform flexible pressure sensor simulation, including DXF analysis, contact model building, parameter sweeping, and result export using natural language.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qcuqvong48)
- **Repository:** <https://github.com/tonghui666/flex-sensor-agent-mcp>

## 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": "tonghui666-flex-sensor-agent-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tonghui666-flex-sensor-agent-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tonghui666-flex-sensor-agent-mcp/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
