smithery verified Safe content atomic container

mcp_python_exec_server_v2

Use this tool when you need to execute Python code remotely, solving problems such as automating tasks, testing scripts, or integrating with version control systems like Git. It takes in Python scripts or code snippets as input and outputs the execution results, providing a seamless interface for remote code execution. Ideal for use cases where automated testing, deployment, or continuous integration is required, especially in Git-based development workflows.

Cognium trust score

75%

Tier

Verified

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 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: container
Category: other
Source: Smithery
Repository: github.com/navalmen007/mcp_python_exec_server_v2
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve mcp_python_exec_server_v2 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"