# Pixeltable MCP Server (Developer Edition)

> Use this tool when you need to manage and analyze multimodal data, automate workflows, and run local AI tasks like object detection. It solves problems related to data infrastructure, workflow automation, and AI analysis by providing an interactive interface with inputs like tables and images, and outputs like analysis results and automated workflows. Ideal for developers and data scientists working with complex data sets and AI models.

Canonical page: https://skillsregistry.net/skills/pixeltable-mcp-server-pixeltable-developer  
JSON: https://api.skillsregistry.net/v1/skills/pixeltable-mcp-server-pixeltable-developer

## Description

An experimental multimodal AI data infrastructure that allows users to manage tables, run local AI analysis like object detection, and automate data workflows. It includes an interactive Python REPL and introspection tools for exploring Pixeltable functions directly through Claude or Cursor.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qmc88as6uw)
- **Repository:** <https://github.com/pixeltable/mcp-server-pixeltable-developer>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pixeltable-mcp-server-pixeltable-developer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pixeltable-mcp-server-pixeltable-developer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pixeltable-mcp-server-pixeltable-developer/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt