# Jupyter MCP Server

> Use this tool when you need to integrate AI agents with Jupyter notebooks for tasks like querying, modifying, and executing notebooks. It solves problems related to collaborative notebook development, automated notebook execution, and real-time state preservation. The Jupyter MCP Server takes in MCP tool inputs and outputs notebook modifications, executions, and queries, ideal for use cases requiring seamless AI-notebook interaction.

Canonical page: https://skillsregistry.net/skills/block-mcp-jupyter  
JSON: https://api.skillsregistry.net/v1/skills/block-mcp-jupyter

## Description

Enables AI agents to interact with Jupyter notebooks via MCP tools for querying, modifying, executing, and setting up notebooks, with state preservation and real-time collaboration.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/czbz23set2)
- **Repository:** <https://github.com/block/mcp-jupyter>

## 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": "block-mcp-jupyter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/block-mcp-jupyter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/block-mcp-jupyter/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