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MCP ConfigsMay 13, 2026·2 min de lecture

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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Prêt pour agents

Staging sûr pour cet actif

Cet actif est d'abord staged. Le prompt copié demande à l'agent d'inspecter les fichiers staged avant d'activer scripts, config MCP ou config globale.

Stage only · 17/100Policy : staging
Surface agent
Tout agent MCP/CLI
Type
Mcp Config
Installation
Stage only
Confiance
Confiance : Established
Point d'entrée
Asset
Commande de staging sûr
npx -y tokrepo@latest install b06d4e98-b129-5c4e-920b-988e8808d23e --target codex

Stage les fichiers d'abord; l'activation exige la revue du README et du plan staged.

Introduction

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 et remerciements

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

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