uthere
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@utherecheck if I'm at my desk"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
u there?
Camera-based presence detection for Claude Code. Uses your webcam to check if you're sitting at your computer.
Two components:
MCP server exposes an
is_user_presenttool that Claude can call anytime to check if you're thereStop hook automatically keeps Claude working when you step away, so it doesn't stop and wait for input from an empty chair
Uses MediaPipe BlazeFace for fast, lightweight face detection. Works well with glasses, varied lighting, and different angles. The model (~200KB) is downloaded automatically on first run.
Install
Requires Python 3.11+ and uv.
git clone https://github.com/odfalik/uthere.git
cd uthere
uv syncCamera permissions
On macOS, your terminal app needs camera access. Go to System Settings > Privacy & Security > Camera and enable it for your terminal (Terminal, iTerm2, etc).
Related MCP server: computer-use-mcp
Setup
Add either or both of the following to your Claude Code settings file (~/.claude/settings.json).
MCP server
Gives Claude a tool it can call to check if you're at your desk.
{
"mcpServers": {
"uthere": {
"command": "uv",
"args": ["--directory", "/path/to/uthere", "run", "python", "-m", "uthere.server"]
}
}
}Stop hook
Prevents Claude from stopping when you're away. If Claude finishes a response and no face is detected, it gets a message telling it to keep going. A 60-second cooldown prevents infinite loops.
{
"hooks": {
"Stop": [
{
"hooks": [
{
"type": "command",
"command": "uv --directory /path/to/uthere run python -m uthere.hook",
"timeout": 15
}
]
}
]
}
}Configuration
All configuration is through environment variables. Set them in your shell profile or in Claude Code's env settings.
Variable | Default | Description |
|
| MCP tool message when no face is detected |
|
| MCP tool message when face is detected |
|
| Message sent to the agent when the stop hook blocks |
Example using Claude Code's env settings:
{
"env": {
"UTHERE_AWAY_MESSAGE": "User is away. Send them a message on Discord.",
"UTHERE_HOOK_MESSAGE": "User is AFK. Keep working, ping them on Discord if stuck."
}
}How it works
Opens the webcam via OpenCV
Takes a few warmup frames (lets auto-exposure settle)
Checks 3 consecutive frames with BlazeFace face detection
Returns
trueif a face is found in any frame
The whole check takes about 1-2 seconds. The camera is released immediately after each check.
License
MIT
Available Tools
1 toolis_user_presentA
Check if the user is sitting at their computer by detecting a face via the webcam.
Returns {"present": true/false} with an explanatory message. If the camera cannot be accessed, returns an error message.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description conveys key behavioral traits: it uses the webcam for face detection, returns a structured JSON with a 'present' field and an explanatory message, and handles camera access errors by returning an error message. This is detailed for a simple read-only check, though it does not mention potential privacy implications or permission requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, consisting of two short paragraphs and only three sentences. Every sentence contributes essential information: what the tool does, what it returns, and its error behavior. There is no redundancy or filler, making it well-structured and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the simplicity of the tool (no parameters, no annotations, no output schema), the description covers the essential aspects: the action, the return format, and error handling. It is sufficiently complete for an agent to understand and invoke the tool correctly. Minor additional details like a note on webcam privacy could improve it, but they are not necessary for basic operation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and the rubric sets a baseline of 4 for such cases. The description correctly omits parameter details since there are none, and it does not need to compensate for schema gaps. The description simply adds meaningful context about the tool's operation without needing to explain parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Check if the user is sitting at their computer by detecting a face via the webcam.' It includes a specific verb ('check'), a resource ('user presence'), and the method ('detecting a face via webcam'), making it distinct and unambiguous. Although no siblings are listed, the description would differentiate from any related tool by specifying the face-detection approach.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives clear context by explaining that the tool detects user presence via webcam, which implies when it should be used. It also notes error behavior when the camera is inaccessible, providing an implicit caveat. However, it does not explicitly state scenarios where this tool should be avoided or alternatives, but with no sibling tools, that is not a major gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
Only one tool exists, so there is no possibility of overlap or confusion between tools. The tool's purpose is clearly distinct.
The single tool name 'is_user_present' follows a clear verb_noun pattern, which is consistent and predictable. There are no other tools to cause inconsistency.
With only one tool, the server feels very thin. It is borderline appropriate for a narrowly scoped purpose, but it lacks the richness expected of a full tool set.
The tool covers the core presence-check functionality well, but there are minor gaps such as no configuration or status reporting options. Overall, the surface is mostly complete for its stated purpose.
Maintenance
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