MCP ConfigsMay 13, 2026·2 min read

jupyter-mcp-server — MCP Server for Jupyter

jupyter-mcp-server is an MCP server for Jupyter: agents can list files, run cells, and cite notebooks with verified 1,090★ and OpenTelemetry hooks.

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Safe staging for this asset

This asset is staged first. The copied prompt tells the agent to inspect the staged files and ask before activating scripts, MCP config, or global config.

Stage only · 17/100Policy: stage
Agent surface
Any MCP/CLI agent
Kind
Mcp Config
Install
Stage only
Trust
Trust: Established
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Asset
Safe staging command
npx -y tokrepo@latest install b06d4e98-b129-5c4e-920b-988e8808d23e --target codex

Stages files first; activation requires review of the staged README and plan.

Intro

jupyter-mcp-server is an MCP server for Jupyter: agents can list files, run cells, and cite notebooks with verified 1,090★ and OpenTelemetry hooks.

Best for: Data/science teams who want agents to execute notebooks with traceable tool calls

Works with: Any MCP client + JupyterLab/Jupyter server (uvx or Docker modes)

Setup time: 8-15 minutes

Key facts (verified)

  • GitHub: 1090 stars · 162 forks · pushed 2026-05-13.
  • License: BSD-3-Clause · owner avatar + repo URL verified via GitHub API.
  • README-verified entrypoint: uvx jupyter-mcp-server@latest.

Main

  • Start with the uvx quick-start and a single notebook: validate list_files + a simple cell execution before adding more tools.

  • Use the built-in observability hooks (README mentions OpenTelemetry) when you need reproducible traces for notebook runs and tool calls.

  • Keep tokens under control by asking the agent to cite specific cells (README documents prompts/tools) instead of pasting full notebooks into chat.

Source-backed notes

  • README documents uvx and Docker client configuration for MCP, and notes a breaking change requiring MCP_TOKEN in v1.0.0+.
  • README lists notebook tools (file/kernels/cell execution) and mentions multimodal outputs (plots/images/text).
  • README highlights built-in observability via hooks + OpenTelemetry integration for tracing tool calls and kernel execution.

FAQ

  • Do I need Docker to use it?: No — README provides a uvx quick start; Docker is recommended for production isolation.
  • What do I need to configure first?: A running Jupyter server + your MCP client config (JUPYTER_URL/TOKEN); README also notes MCP_TOKEN for newer versions.
  • Does it support tracing?: Yes — README mentions OpenTelemetry hooks for notebook/tool execution traces.
🙏

Source & Thanks

Source: https://github.com/datalayer/jupyter-mcp-server > License: BSD-3-Clause > GitHub stars: 1090 · forks: 162

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