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    3. codelogic-mcp-server

    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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