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PopNx MCPMCP servers for people who use AI · explained in plain words

Webcam MCP

by 1019666077-bitversion 0.2.1i★ –iRuns on your computer
Registry nameio.github.1019666077-bit/webcam

Install

Overview

Description from the maker (original English)

Give LLM agents webcam access: capture photos and record short videos over MCP.

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 on your computer
  • Transport: stdio
  • 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 your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

Which app do you use?

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

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

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.

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Runs on your computer; the tool list appears in your AI app after you install it.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account 1019666077-bit, which owns the repo

  • … 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 applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7286 servers in this category
  • Published to the registry more recently than 59% of the other 7286 servers in this category
  • Basic checks equal to or better than 100% of the other 7286 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 Webcam MCP 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 on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.1) reached the registry 25 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.

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 yesterday
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 21 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.

Webcam MCP 📸

MCP server for webcam access - capture photos and video for LLM agents

Fork notice. This is botbridge-webcam-mcp, a fork of

pavel-kirienko/webcam_mcp (MIT),

maintained by 1019666077-bit. It adds an

MCP Apps panel (webcam_panel). Install this distribution as

botbridge-webcam-mcp; the upstream distribution on PyPI is named

webcam-mcp. The Python import package is webcam_mcp.


Webcam MCP is a Model Context Protocol (MCP) server that gives LLM agents direct access to your webcam. It enables autonomous agents to capture photos and record video sequences, making it possible to debug cyberphysical systems, monitor environments, and interact with the physical world without human intervention.

Features:

  • 📸 High-Resolution Photos: Capture still images
  • 🎛️ MCP Apps panel (`webcam_panel`): Free in-chat buttons (拍一张 / 再拍 / 关掉); Pro placeholders only
  • 🎥 Video Recording: Record a sequence of frames over a specified duration
  • 🌐 SSE transport: loopback by default; LAN exposure is opt-in and unauthenticated
  • ⚙️ Configurable: Adjust resolution, camera index, and quality settings
  • 🔌 Cross-Platform: Works on Linux, macOS, and Windows
  • 🚀 Easy Integration: Simple MCP client configuration

Usage

Install:

pip install botbridge-webcam-mcp

Start the MCP server:

webcam-mcp

The server starts on http://127.0.0.1:8000/sse by default (loopback only).

You can test the server using any MCP client, e.g., MCP Inspector (install via npx @modelcontextprotocol/inspector).

CLI options
OptionTypeDefaultDescription
--hoststring127.0.0.1Server host address
--portinteger8000Server port
--camera-indexinteger0Webcam device index
--photo-widthinteger1920Default photo width in pixels
--photo-heightinteger1080Default photo height in pixels
--video-widthinteger640Default video frame width in pixels
--video-heightinteger480Default video frame height in pixels
--version--Show version and exit
Examples
# Start on custom port

webcam-mcp --port 9000

Use different camera (e.g., external USB webcam)

webcam-mcp --camera-index 1

Custom photo resolution

webcam-mcp --photo-width 1280 --photo-height 720

Opt-in LAN exposure (unauthenticated! see Security below)

WEBCAM_MCP_ALLOW_LAN=1 webcam-mcp --host 0.0.0.0

Security

The SSE transport has no authentication. Anyone who can reach the SSE endpoint can trigger your webcam to take photos and record video.

  • Prefer stdio (desktop MCP clients use it automatically) or loopback (127.0.0.1, the default).
  • Binding --host to a non-loopback address (e.g. 0.0.0.0 or a LAN IP) prints a loud warning at startup and is refused unless you set WEBCAM_MCP_ALLOW_LAN=1.
  • Only expose the server on your LAN or a public interface if you understand the risk and have your own authentication in front of it.

MCP Client Configuration

Claude Desktop

Add to your claude_desktop_config.json:

{

"mcpServers": { "webcam": { "url": "http://localhost:8000/sse" } } }

Location of config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json
Other MCP Clients

Any MCP client supporting SSE transport can connect to:

http://<host>:<port>/sse

MCP Tools

take_photo

Captures a single high-resolution photo from the webcam.

Parameters: None

Returns: JPEG image

Example usage in Claude:

Can you take a photo and describe what you see?
record_video

Records video frames over a specified duration.

Parameters:

  • duration_seconds (float, optional): Recording duration in seconds
  • Minimum: 1.0 second
  • Maximum: 60.0 seconds
  • Default: 5.0 seconds

Returns: List of JPEG frames

Example usage in Claude:

Record a 10-second video and analyze any movement you detect.

Troubleshooting

Camera Permission Denied (macOS)

On macOS, you need to grant camera permissions:

  1. Open System Settings → Privacy & Security → Camera
  2. Enable camera access for Terminal (or your terminal app)
  3. Restart the terminal and try again
Camera Already in Use

If you see "Camera unavailable" errors:

  1. Close other applications using the webcam (Zoom, Skype, etc.)
  2. Check if another instance of webcam-mcp is running
  3. Try a different camera index: webcam-mcp --camera-index 1
Wrong Camera Index

To find available cameras:

import cv2

for i in range(10): cap = cv2.VideoCapture(i) if cap.isOpened(): print(f"Camera {i}: Available") cap.release() else: print(f"Camera {i}: Not available")

Then use --camera-index with the correct number.

Resolution Not Supported

If your camera doesn't support the requested resolution, the server will:

  • Log a warning with the actual resolution achieved
  • Continue operating with the camera's maximum supported resolution

Check logs for messages like:

WARNING: Requested resolution 1920x1080, but camera provided 1280x720

Development

# Install in editable mode with dev dependencies

pip install -e ".[dev]"

Run all tests

pytest

Run with verbose output

pytest -v

Run specific test file

pytest tests/test_camera.py

All tests use mocked camera hardware, so no physical webcam is required for testing.

Release

To tag and release a new version, push a new commit to main with a new __version__ string. This will trigger a new tag and a new release push to PyPI.

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