Code Analysis
This Code Analysis MCP plugin, developed by an unspecified author, enables AI assistants to perform sophisticated code analysis using a Neo4j graph database. Built with Java and leveraging libraries like JavaParser and Neo4j, it offers tools for analyzing code structure, calculating quality metrics, extracting documentation, and answering high-level questions about codebases. The plugin implements advanced metrics calculation and natural language query processing, abstracting the complexities of code parsing and graph database operations. By providing a comprehensive view of code structure and quality, it allows AI systems to generate insights, identify potential issues, and assist in code review processes. This implementation is particularly valuable for software development teams, code reviewers, and architects, facilitating use cases such as architectural analysis, code quality assessment, and automated documentation generation.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/davidvc/code-mcp
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Code Analysis 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.