# fpga-mcp

> fpga-mcp — wmm246-fpga-mcp. Use this tool when you need to streamline FPGA development workflows using natural language commands, solving problems such as tedious manual configuration and optimization. It enables AI assistants to interact with Xilinx Vivado, Intel Quartus, and Anlogic TangDynasty, accepting natural language inputs and generating configured FPGA projects as outputs. Ideal for use cases where efficiency and ease of use are crucial in FPGA project creation, synthesis, and implementation.

Canonical page: https://skillsregistry.net/skills/wmm246-fpga-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wmm246-fpga-mcp

## Description

Enables AI assistants to drive Xilinx Vivado, Intel Quartus, and Anlogic TangDynasty for FPGA development, including project creation, synthesis, implementation, timing closure, and hardware programming through natural language.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g3mptzg2qr)
- **Repository:** <https://github.com/wmm246/fpga-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": "wmm246-fpga-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wmm246-fpga-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wmm246-fpga-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