SERVER
PyKernel MCP
Rank #31571glama/DOsinga/pykernel_mcp
MCP server that provides a persistent IPython kernel for executing Python code with pre-loaded numpy, pandas, and matplotlib, supporting stateful computation and inline visualizations.
First listed
May 30, 2026
Last publish date
—
OVERVIEW
PyKernel MCP is a Model Context Protocol (MCP) server published by DOsinga. It ranks #31571 of 58,832 servers tracked on MCP Toplist, and its repository has 2 GitHub stars. PyKernel MCP is listed on Glama, and ships as a single rolling release with no explicit version metadata. It was first listed on May 30, 2026.
STANDING
#31,571of 58,832 tracked servers
Ranks ahead of 27,261 of 58,832 servers on MCP Toplist.
REGISTRIES
Listed on 1 registry
ORGANIZATION
DOsinga
MORE FROM THIS PUBLISHER
Other servers by DOsinga
View all DOsinga servers →VERSIONS
Not versioned
This server is published through a registry that does not expose explicit version metadata. The listing tracks a single rolling release.
FAQ
Frequently asked questions
- What is PyKernel MCP?
- MCP server that provides a persistent IPython kernel for executing Python code with pre-loaded numpy, pandas, and matplotlib, supporting stateful computation and inline visualizations.
- Who maintains PyKernel MCP?
- PyKernel MCP is maintained by DOsinga, which publishes 2 MCP servers (0 total versions) tracked on MCP Toplist.
- Is PyKernel MCP an official MCP server?
- PyKernel MCP is not on the Official MCP Registry. It is listed on Glama.
- How many versions does PyKernel MCP have?
- PyKernel MCP ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for PyKernel MCP?
- The source code for PyKernel MCP is hosted at github.com/DOsinga/pykernel_mcp.
EXPLORE