Python REPL
This Python REPL MCP server, developed by Tynan Daly, provides AI assistants with a persistent Python execution environment. Built using the MCP library, it offers capabilities for executing Python code, listing variables, and installing packages. The server maintains session state between executions, allowing for iterative development and data manipulation. It's designed for flexibility, supporting various Python versions and environments through uv for dependency management. This implementation is particularly useful for AI assistants focused on data analysis, scripting, and rapid prototyping, enabling use cases such as exploratory data analysis, algorithm testing, and interactive code development within the context of AI-assisted programming tasks.
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/hdresearch/mcp-python
- 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.