pulsemcp verified Safe content atomic mcp-remote

Python Code Analyzer

This MCP code analyzer, developed by seanivore, provides Python code analysis capabilities for structure, complexity, and dependencies. Built with Python and TypeScript, it leverages tools like Babel for parsing and offers a server interface for AI-assisted code review. The implementation supports file-based analysis and provides metadata about its capabilities. It's designed for integration into development workflows, enabling automated code quality checks and offering insights into code structure and complexity. This tool is particularly useful for developers and teams looking to maintain code quality standards, identify potential issues, and understand the architecture of their Python projects through AI-assisted analysis.

Cognium trust score

70%

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 2026-09-28.

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: file-system
Source: PulseMCP
Repository: github.com/seanivore/mcp-code-analyzer
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Python Code Analyzer 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"