picsellia-mcp
MCP server that wraps the Picsellia Python SDK, giving AI assistants access to computer vision platform capabilities such as datasets, experiments, models, deployments, and monitoring.
README
picsellia-mcp
An MCP server that wraps the Picsellia Python SDK, giving AI assistants access to your computer vision platform — datasets, experiments, models, deployments, and monitoring.
Prerequisites
- Python 3.10+
- uv
- A Picsellia account with an API token
Installation
git clone <repo-url>
cd picsellia-mcp
uv sync
Configuration
Copy the example env file and fill in your credentials:
cp .env.example .env
| Variable | Required | Default | Description |
|---|---|---|---|
PICSELLIA_API_TOKEN |
Yes | — | Your Picsellia API token |
PICSELLIA_ORGANIZATION_NAME |
No | None |
Organization to connect to |
PICSELLIA_HOST |
No | https://app.picsellia.com |
Picsellia API host |
MCP_TRANSPORT |
No | stdio |
Transport protocol (stdio or streamable-http) |
Usage
Claude Desktop
Add the following to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"picsellia": {
"command": "uv",
"args": [
"run",
"--directory",
"/absolute/path/to/picsellia-mcp",
"picsellia-mcp"
],
"env": {
"PICSELLIA_API_TOKEN": "<your-token>",
"PICSELLIA_ORGANIZATION_NAME":"",
"PICSELLIA_HOST":"https://app.picsellia.com",
"MCP_TRANSPORT": "stdio"
}
}
}
}
If
uvis not on your PATH, use the absolute path (e.g.~/.local/bin/uv).
Claude Code
Add the server from the project directory:
claude mcp add picsellia -- uv run --directory /absolute/path/to/picsellia-mcp picsellia-mcp
Or add it to .claude/settings.json directly:
{
"mcpServers": {
"picsellia": {
"command": "uv",
"args": [
"run",
"--directory",
"/absolute/path/to/picsellia-mcp",
"picsellia-mcp"
],
"env": {
"PICSELLIA_API_TOKEN": "<your-token>",
"PICSELLIA_ORGANIZATION_NAME":"",
"PICSELLIA_HOST":"https://app.picsellia.com",
"MCP_TRANSPORT": "stdio"
}
}
}
}
Cursor
Open Settings > MCP and add a new server:
{
"mcpServers": {
"picsellia": {
"command": "uv",
"args": [
"run",
"--directory",
"/absolute/path/to/picsellia-mcp",
"picsellia-mcp"
],
"env": {
"PICSELLIA_API_TOKEN": "<your-token>",
"PICSELLIA_ORGANIZATION_NAME":"",
"PICSELLIA_HOST":"https://app.picsellia.com",
"MCP_TRANSPORT": "stdio"
}
}
}
}
Standalone (stdio)
uv run picsellia-mcp
Standalone (HTTP)
MCP_TRANSPORT=streamable-http uv run picsellia-mcp
Available Tools
53 tools organized by domain:
| Category | Tools | Description |
|---|---|---|
| Datasets | 9 | List, get, browse versions, assets, labels, stats |
| Projects | 8 | List, create, get projects; list experiments |
| Models | 6 | List, get models and versions; list files |
| Experiments | 6 | Create, launch, attach/detach datasets, set base model |
| Datalakes | 4 | List datalakes, browse data items and tags |
| Deployments | 9 | List, get deployments; monitoring stats; predicted assets |
| Logs | 4 | List, get, filter, and compare experiment logs |
| Annotations | 3 | Get annotations, search assets with query language |
| Evaluations | 4 | List evaluations and artifacts |
Most tools are read-only. Write operations are limited to experiment management (create, launch, attach datasets, set base model).
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