MCP Run Python
Rank #4158glama/pydantic/mcp-run-python
Provides secure Python code execution in a sandboxed Pyodide environment with automatic dependency installation, stdout/stderr capture, and complete isolation from the host system for data analysis and mathematical computations.
MCP Run Python is a Model Context Protocol (MCP) server published by pydantic. It ranks #4158 of 58,900 servers tracked on MCP Toplist, and its repository has 192 GitHub stars. MCP Run Python is listed across 2 registries — Glama and PulseMCP, and ships as a single rolling release with no explicit version metadata. It was first listed on May 9, 2025.
Ranks ahead of 54,742 of 58,900 servers on MCP Toplist.
Use MCP Run Python
MCP Run Python 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 2 registries
pydantic
Other servers by pydantic
View all pydantic servers →Not versioned
This server is published through registries that do 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
- What is MCP Run Python?
- Provides secure Python code execution in a sandboxed Pyodide environment with automatic dependency installation, stdout/stderr capture, and complete isolation from the host system for data analysis and mathematical computations.
- Who maintains MCP Run Python?
- MCP Run Python is maintained by pydantic, which publishes 4 MCP servers (0 total versions) tracked on MCP Toplist.
- Is MCP Run Python an official MCP server?
- MCP Run Python is not on the Official MCP Registry. It is listed on Glama and PulseMCP.
- How many versions does MCP Run Python have?
- MCP Run Python ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for MCP Run Python?
- The source code for MCP Run Python is hosted at github.com/pydantic/mcp-run-python.