Chiplab

ai.veecle由 veecle.ai 發布官方發布者v1.0.0更新於 Oct 24, 2026

Run, build, and validate firmware on virtual hardware from your AI agent. Hardware knowledge corpus.

已驗證Streamable HTTP可網頁執行雲端與基礎設施開發者工具

概覽

AI 產生的概覽

Chiplab 是託管的 MCP 服務,讓 AI 程式助理把編譯好的韌體上傳到虛擬微控制器上執行,並讀回 UART 輸出。

可以做什麼
  • 把編譯好的韌體 ELF 上傳到真實開發板的虛擬執行個體
  • 在虛擬晶片上執行韌體並讀回擷取的 UART 輸出
  • 透過說明/探索工具了解服務與其能力
  • 查詢硬體知識庫以取得晶片與開發板資訊
  • 支援多種開發板與框架,例如裸機 Rust、Embassy、Zephyr、FreeRTOS 與 ThreadX
適用情境
適合在沒有實體開發板的情況下,讓助理建置並驗證嵌入式韌體,例如確認 Hello World 範例能在 STM32 或 Nordic 目標板上開機並透過 UART 輸出。
執行需求
需要遠端 HTTP MCP 端點,不需在本機安裝套件。需在服務商網站註冊免費帳號,首次使用時透過瀏覽器完成 OAuth 登入。助理還需具備韌體工具鏈以建置 ELF。
安裝前請注意
韌體會上傳到第三方託管服務。執行時間被限制在固定的虛擬時間內並同步回傳,長時間執行或互動式韌體可能與真實硬體表現不同。目前僅涵蓋少數開發板與 Hello World 範例。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Chiplab,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/ai.veecle%2Fchiplab/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "chiplab": {
      "type": "http",
      "url": "https://chiplab.veecle.ai/mcp"
    }
  }
}

README

Chiplab

Simulate & validate firmware on virtual instances of real chips, straight from your AI coding agent — no hardware.

[License: MIT] [Discord] [圖片]

Chiplab is a hosted MCP service. Your AI coding agent connects to it, uploads compiled firmware, runs it on a virtual instance of a real microcontroller, and reads back the UART output. You don't drive the toolchain — your agent does.

We're building the next way to develop chips, in the open and early. Today it runs Hello world! on STM32 and Nordic boards; a lot more is on the way — see veecle.ai. Try it, poke at it, and tell us what you'd like to see.

Quickstart

  1. Create a free account at veecle.ai (no credit card).

  2. Connect your agent to the Chiplab MCP server.

  3. git clone https://github.com/veecle/chiplab && cd chiplab, then tell your agent:

    "Set up Chiplab and run the stm32f4-discovery example on it."

Your agent reads AGENTS.md, installs what it needs, builds the firmware, uploads it, runs it on the virtual board, and reports Hello world! back from the chip's UART. That's the whole loop.

Connect your agent

Chiplab is an HTTP MCP server at https://chiplab.veecle.ai/mcp. Most clients take the standard mcpServers schema:

json
{  "mcpServers": {    "chiplab": {      "type": "http",      "url": "https://chiplab.veecle.ai/mcp"    }  }}

On first use your client opens a browser to sign in. To verify, ask your agent to call Chiplab's discovery/help tool with no arguments.

Claude Code

If you cloned this repo, the server is already configured via .mcp.json — Claude Code will prompt you to trust it. Otherwise:

sh
claude mcp add --transport http chiplab https://chiplab.veecle.ai/mcp
Claude Desktop / Cursor

Use the mcpServers block above in claude_desktop_config.json or .cursor/mcp.json.

VS Code

Same block in .vscode/mcp.json, but under a servers key instead of mcpServers.

Codex

TOML in ~/.codex/config.toml:

toml
[mcp_servers.chiplab]url = "https://chiplab.veecle.ai/mcp"

Then sign in with codex mcp login chiplab.

How it works

The contract is framework-agnostic: your agent builds an ELF → uploads it → runs it on the target board → reads the captured UART output. Runs return synchronously and are bounded to a fixed amount of virtual time.

This repo ships a ready-to-run example for every supported board, grouped by framework — bare-metal (Rust, vendor HAL), embassy-rust (Embassy async), zephyr-os (Zephyr RTOS, C), freertos (FreeRTOS, C), and threadx (Eclipse ThreadX, C). The full board × framework matrix is in supported-boards.md.

Toolchain and build details live in each framework's directory (examples/<framework>/README.md for humans, AGENTS.md for agents) — your agent finds them on its own. Prefer building by hand? Each framework README has the exact commands.

To run your own firmware, build an ELF for a supported board and ask your agent to upload and run it the same way.

Contributing

Adding a board example is the easiest way in: mirror an existing example for the same framework and add a row to supported-boards.md. All conventions live in AGENTS.md and each framework's AGENTS.md. New chip, OS, or peripheral support is server-side — open a request instead of adding an example for an unsupported board.

Found a bug? Missing a chip? Tell us here.

This is Chiplab's public home — bugs, feature ideas, and chip/OS/peripheral requests all belong in this repo's issues. Requests really do shape the roadmap — see veecle.ai/roadmap for what's planned, or come say hi on Discord.

License

MIT © 2026 Veecle GmbH.

來源:README.md,提交 2222293

工具

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版本歷史

1
  1. v1.0.0最新Sep 16, 2026

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