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picsellia-mcp

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by picselliahq
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Python
Remote

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

Related MCP server: Langflow MCP Server

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 uv is 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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