# fpgaZeroMCP

> Use this tool when you need to streamline FPGA development with a comprehensive toolchain for HDL design, simulation, and implementation. It solves problems related to hardware design, verification, and optimization, and provides a user-friendly interface for searching and importing open-source IP cores. The tool accepts HDL code and hardware targets as inputs and outputs synthesized and implemented designs, making it ideal for use cases involving digital hardware development and AI-driven design automation.

Canonical page: https://skillsregistry.net/skills/bard0-design-fpgazeromcp  
JSON: https://api.skillsregistry.net/v1/skills/bard0-design-fpgazeromcp

## Description

Provides AI assistants with a complete FPGA toolchain for HDL linting, simulation, synthesis, and place-and-route across various hardware targets. It features a GitHub-backed IP core registry that enables users to search for and import MIT-licensed cores directly through their chat interface.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hs1fbmboqh)
- **Repository:** <https://github.com/bard0-design/fpgaZeroMCP>

## 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": "bard0-design-fpgazeromcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bard0-design-fpgazeromcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bard0-design-fpgazeromcp/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