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.
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.
Ranks ahead of 27,261 of 58,832 servers on MCP Toplist.
Use PyKernel MCP
PyKernel MCP doesn’t publish a machine-readable install config. Follow the setup instructions in its repository ↗, or open one of its registry listings above.
Listed on 1 registry
DOsinga
Other servers by DOsinga
View all DOsinga servers →Not versioned
This server is published through a registry that does not expose explicit version metadata. The listing tracks a single rolling release.
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.