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Chiplab

by veecleversion 1.0.0i★ –iRuns in the cloud
Registry nameai.veecle/chiplab

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://chiplab.veecle.ai/mcp

Run this in your terminal

claude mcp add --transport http chiplab https://chiplab.veecle.ai/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://chiplab.veecle.ai/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain veecle.ai (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7248 servers in this category
  • Published to the registry more recently than 21% of the other 7248 servers in this category
  • Basic checks equal to or better than 100% of the other 7248 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Chiplab safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Chiplab

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

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](https://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](https://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:

{

"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:

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:

[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](supported-boards.md).

Toolchain and build details live in each framework's directory (examples/ /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](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.

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