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MCP ConfigsMay 13, 2026·2 min de lectura

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.

Listo para agents

Staging seguro para este activo

Este activo primero queda en staging. El prompt copiado pide inspeccionar los archivos staged antes de activar scripts, config MCP o config global.

Stage only · 17/100Política: staging
Superficie agent
Cualquier agent MCP/CLI
Tipo
Mcp Config
Instalación
Stage only
Confianza
Confianza: Established
Entrada
Asset
Comando de staging seguro
npx -y tokrepo@latest install b06d4e98-b129-5c4e-920b-988e8808d23e --target codex

Primero deja archivos en staging; la activación requiere revisar el README y el plan staged.

Introducción

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.
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Fuente y agradecimientos

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

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