pulsemcp Safe content atomic mcp-remote

Python Sandbox

MCP-Run-Python provides a sandboxed environment for executing Python code through a standardized interface. Built with TypeScript and Pyodide, it allows AI assistants to run Python snippets safely in a browser-compatible environment, supporting package installation through PEP 723 script metadata. The server offers both SSE and stdio transport options, handles dependency management automatically, and returns execution results in a structured XML format containing stdout, stderr, and return values. This implementation is particularly valuable for interactive code examples, educational tools, and AI assistants that need to demonstrate or test Python code without requiring a full backend Python environment.

Cognium trust score

30%

Tier

Unverified

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 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: browser-automation
Source: PulseMCP
Repository: github.com/pydantic/pydantic-ai/tree/HEAD/mcp-run-python
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Python Sandbox 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"