Code Audit (Ollama)
This MCP server provides AI-powered code auditing capabilities using local Ollama models to analyze code for security vulnerabilities, performance bottlenecks, quality issues, architectural problems, testing gaps, documentation deficiencies, and implementation completeness. Built by Warren Gates using TypeScript with the Model Context Protocol SDK, it features specialized auditors for each analysis type, configurable model selection strategies, complexity analysis utilities, and a comprehensive CLI tool for setup, health checking, and server management. The implementation supports multiple audit modes (fast/thorough), language-specific analysis patterns, severity-based issue classification, and both stdio and HTTP transport modes, making it valuable for code review workflows, continuous integration pipelines, and building AI assistants that need programmatic access to detailed code quality analysis without relying on external services.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/moikas-code/code-audit-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Code Audit (Ollama) 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.