Python REPL
This MCP server, developed by Alex Velikanov, provides an interactive Python REPL environment for executing Python code within AI conversations. Built with Python and leveraging the MCP library, it offers persistent session management and captures stdout/stderr output. The implementation stands out by maintaining separate state for each session and supporting both expressions and statements. It's particularly useful for developers and data scientists who need to run Python code snippets, test algorithms, or perform data analysis tasks through AI-assisted workflows, allowing for seamless integration of Python programming into conversational AI interfaces.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/alec2435/python_mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Python REPL from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.