codelogic-mcp-server
Official MCP server for CodeLogic, providing access to code dependency analytics, architectural risk analysis, and impact assessment tools.
About this tool
codelogic-mcp-server
Official MCP server for CodeLogic, providing access to code dependency analytics, architectural risk analysis, and impact assessment tools.
- Source: GitHub Repository
- Category: repository-code-analysis-mcp-servers
- Tags: mcp, code-analysis, analytics, integration
Features
- Software Dependency Data Integration: Exposes CodeLogic's software dependency and impact analysis data to AI programming assistants and IDEs.
- Two Main Tools:
codelogic-method-impact: Fetches impact assessment for a given code method and its class via the CodeLogic API.codelogic-database-impact: Analyzes impacts between code and database entities (columns, tables, views).
- IDE Integrations:
- Visual Studio Code (with GitHub Copilot agent mode)
- Claude Desktop
- Windsurf IDE
- Cursor
- Configuration via JSON: Easily configure server and authentication details for different IDEs.
- Environment Variables Support: Fully customizable via environment variables such as
CODELOGIC_SERVER_HOST,CODELOGIC_USERNAME,CODELOGIC_PASSWORD,CODELOGIC_WORKSPACE_NAME, andCODELOGIC_DEBUG_MODE. - Debug Mode: When enabled, generates additional debug files (e.g., timing logs, impact data dumps).
- Version Pinning: Ability to pin the MCP server to a specific version for compatibility.
- API Version Compatibility:
- v0.3.1 and below: Compatible with all CodeLogic API versions
- v0.4.0 and above: Requires CodeLogic API version 25.10.0 or later
- Testing Support:
- Unit tests (mock data, no external dependencies)
- Optional integration tests (against a real CodeLogic server)
- Open Source: Licensed under MPL-2.0
Usage Instructions
- Configure your IDE (VS Code, Claude Desktop, Windsurf, or Cursor) as described in the repository docs, using the provided JSON snippets and environment variables.
- Pin the version if desired for stability.
- Use the IDE's agent mode to access impact analysis and database relationship tools.
- Add recommended AI assistant rules/instructions for best results.
Requirements
- Python environment (primary language: Python)
- Astral UV (runtime dependency)
- Access to a CodeLogic server instance
Pricing
- No pricing information provided.
License
- MPL-2.0
For full documentation and updates, visit the GitHub repository.
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Information
Websitegithub.com
PublishedMay 14, 2025
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