jupyter-kernel-mcp
Rank #50,254glama/codewithcheese/jupyter-kernel-mcp
Enables AI agents to execute Python, TypeScript, and JavaScript code in persistent Jupyter kernels with stateful variables and imports across interactions.
jupyter-kernel-mcp is a Model Context Protocol (MCP) server published by codewithcheese. It ranks #50,254 of 137,138 servers tracked on MCP Toplist, and its repository has 4 GitHub stars. jupyter-kernel-mcp is listed on Glama, and ships as a single rolling release with no explicit version metadata. It was first listed on May 28, 2026.
Ranks ahead of 86,884 of 137,138 servers on MCP Toplist.
Use jupyter-kernel-mcp
No credentials or required configuration declared — add it to your MCP client and go.
This server doesn't publish a machine-readable install config — see the repository README for install instructions.
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[](https://mcptoplist.com/server/glama%2Fcodewithcheese%2Fjupyter-kernel-mcp)<a href="https://mcptoplist.com/server/glama%2Fcodewithcheese%2Fjupyter-kernel-mcp"><img src="https://mcptoplist.com/badge/glama%2Fcodewithcheese%2Fjupyter-kernel-mcp.svg" alt="MCP Toplist: Top 50% of 137,138" /></a>Variants: append ?metric=score or ?metric=stars to the image URL.
Listed on 1 registry
codewithcheese
Not versioned
This server is published through a registry that does not expose explicit version metadata, and no GitHub release tags were found on the linked repository. The listing tracks a single rolling release.
Frequently asked questions
- Who maintains jupyter-kernel-mcp?
- jupyter-kernel-mcp is maintained by codewithcheese, which publishes 1 MCP server (0 total versions) tracked on MCP Toplist.
- Is jupyter-kernel-mcp listed on the Official MCP Registry?
- jupyter-kernel-mcp is not on the Official MCP Registry. It is listed on Glama.
- How many versions does jupyter-kernel-mcp have?
- jupyter-kernel-mcp ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for jupyter-kernel-mcp?
- The source code for jupyter-kernel-mcp is hosted at github.com/codewithcheese/jupyter-kernel-mcp.
Do you run this server?
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