codelogic-mcp-server
Active·★ 36·MPL-2.0·Updated 2026-05-25
★ Trending★ Observability
An MCP Server to utilize Codelogic's rich software dependency data in your AI programming assistant.
This MCP server provides tools to analyze code and database impacts, integrate with CI/CD pipelines, and leverage graph-based dependency analysis to assist AI programming assistants.
#ai#ai-agents#coding#developer-tools#mcp-server#mcp-servers
01
Features
01Code impact analysis for methods and database entities
02DevOps integration with Docker agent, build info, and pipeline configuration generation
03Graph API tools for searching, impact analysis, path explanation, and change validation
04Support for multiple IDEs (VS Code, Claude Desktop, Windsurf, Cursor)
05Debug logging with timing and raw impact data
02
Compatibility
VS Code
VS Code (GitHub Copilot)
Verified via docs
Claude Desktop
Claude Desktop
Verified via docs
Windsurf
Windsurf IDE
Verified via docs
Cursor
Cursor
Verified via docs
03
Use cases
↳Analyze the impact of code changes before modifying methods or classes
↳Integrate CodeLogic scanning into CI/CD pipelines for automated dependency analysis
↳Query dependency relationships in real-time within an AI programming assistant
04
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Comments
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- EElliot DavisMay 18, 2026
Codelogic dependency data in AI workflows is genuinely useful for impact analysis.
- RRebel HarrisMar 26, 2026
Good for large codebases where manual dependency tracing is impractical.
- KKendall GarciaMar 26, 2026
Understanding call graphs and dependencies via natural language speeds up reviews.
- SShawn AndersonMar 26, 2026
Integrates cleanly, the dependency data is accurate and current.