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Using GitLab Semantic Search for Code Implementation

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  • Why this server?

    This server provides GitLab integration for AI assistants using Model Context Protocol, enabling repository operations, file management, issue tracking, and merge request creation.

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    Provides GitLab integration for AI assistants using Model Context Protocol, enabling repository operations, file management, issue tracking, merge requests, and branch/tag administration through natural language.
    Last updated
    2

  • Why this server?

    Provides integration with Github through the Model Context Protocol (MCP), allowing Large Language Models to interact with Github's repositories, issues, pull requests and search functionality.

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    Provides integration with Github through the Model Context Protocol (MCP), allowing Large Language Models to interact with Github's repositories, issues, pull requests and search functionality.
    Last updated
    618
    5
    ISC

  • Why this server?

    A Model Context Protocol server that enables AI assistants to perform GitHub operations including repository management, file operations, issue tracking, and pull request creation.

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    A Model Context Protocol server that enables AI assistants to perform GitHub operations including repository management, file operations, issue tracking, and pull request creation.
    Last updated
    1

  • Why this server?

    GitHub Repo MCP is an open-source MCP server that lets your AI assistants browse GitHub repositories, explore directories, and view file contents.

  • Why this server?

    A Model Context Protocol server that enables AI assistants to perform GitHub operations including repository management, file operations, issue tracking, and pull request creation.

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    maintenance
    A Model Context Protocol server that enables AI assistants to interact with GitLab repositories, allowing tasks like managing merge requests, searching projects, and creating comments through RESTful API integration.
    Last updated
    47
    2

  • Why this server?

    Tools including searching pdfs

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    mcp using PyPDF2 to: • merge-pdfs • extract-pages • search-pdfs • merge-pdfs-ordered (merge in user spec. order) • find-related-pdfs (regex extracted text for related PDF files)
    Last updated
    5
    74
    The Unlicense

  • Why this server?

    Share code context with LLMs via MCP

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    Share code context with LLMs via MCP or clipboard
    Last updated
    4
    301
    Apache 2.0

  • Why this server?

    A codebase processing server that provides agentic RAG capabilities for code repositories, enabling semantic search and contextual understanding through self-evaluating retrieval loops.

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    An intelligent codebase processing server that provides agentic RAG capabilities for code repositories, enabling semantic search and contextual understanding through self-evaluating retrieval loops.
    Last updated
    2
    MIT

  • Why this server?

    Advanced code search and transformation MCP server for AI assistants.

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    Advanced code search and transformation MCP server for AI assistants. Combines ugrep's speed with intelligent replace capabilities, dry-run previews, and language-aware refactoring across 11 tools.
    Last updated
    1
    9
    MIT