pulsemcp scanned Safe content atomic mcp-remote

AI Code Review

Provides AI coding assistants with local static analysis capabilities across Python, JavaScript, TypeScript, Java, Go, Rust, C++, and other languages. Exposes three tools: `analyze_file` for per-file quality scoring, complexity metrics, and line statistics; `review_diff` for inspecting uncommitted git changes and detecting issues like hardcoded credentials; and `check_project` for whole-codebase quality overviews. Python files receive AST-based analysis; other languages receive general quality checks. Grades range from A to D based on weighted scoring of errors, warnings, and informational findings.

Cognium trust score
64%
Tier
Scanned

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 2026-09-03.

Scan details: Circle-IR · 2026-09-03 · Appeal

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
version-control
Source
PulseMCP
Author type
human
Last scanned
2026-09-03
Updated
2026-09-03
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MCP

Resolve AI Code Review 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.

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