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codelogic-mcp-server

Official MCP server for CodeLogic, providing access to code dependency analytics, architectural risk analysis, and impact assessment tools.

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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, and CODELOGIC_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

Categories

1 Item
Repository & Code Analysis Mcp Servers

Tags

4 Items
#mcp
#code-analysis
#analytics
#integration

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