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⇱ MCP server for accessing OpenGrok | Glama

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MCP server for accessing OpenGrok

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  • Why this server?

    Provides codebase navigation and mapping capabilities, functioning similarly to Opengrok by helping LLMs understand and traverse complex code structures and repositories.

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    A powerful tool designed to help, primarily LLMs, understand and navigate complex codebases. It functions both as a command-line application for on-demand analysis and as an MCP (Model Context Protocol) server, providing continuous repository mapping capabilities to other applications. By generating
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    182
    MIT

  • Why this server?

    Enables AI to analyze entire codebases and manage projects through direct filesystem interactions, supporting the browsing and exploration needed to replicate Opengrok's utility.

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    An MCP server that implements Claude Code-like functionality, allowing the AI to analyze codebases, modify files, execute commands, and manage projects through direct file system interactions.
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    MIT

  • Why this server?

    Focuses on performing semantic search and retrieval on local code repositories, which is the core function of searching indexed source code like in Opengrok.

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    Enables semantic search and retrieval of code files using embeddings stored in PostgreSQL. Supports intelligent codebase exploration through natural language queries, file listing, and content retrieval.
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  • Why this server?

    Zoekt is a fast, powerful code search tool. This MCP provides capabilities for searching indexed code, functionally matching the core purpose of Opengrok.

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    An MCP server that provides code search capabilities for AI tools and LLMs using Zoekt, allowing for searching across codebases with advanced query syntax and content fetching.
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    MIT

  • Why this server?

    Explicitly focuses on codebase analysis and providing continuous repository mapping capabilities, fulfilling the indexing and browsing requirement of Opengrok.

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    A smart code retrieval tool based on Model Context Protocol that provides efficient and accurate code repository search capabilities for large language models.
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    36

  • Why this server?

    Aids in querying and analyzing code relationships and dependencies, helping LLMs navigate complex projects similarly to Opengrok's cross-reference feature.

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    Enables querying and analyzing code relationships by building a lightweight graph of TypeScript and Python symbols. Supports symbol lookup, reference tracking, impact analysis from diffs, and code snippet retrieval through natural language.
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  • Why this server?

    Provides broad access to GitHub repository contents, allowing LLMs to search and retrieve files necessary for code browsing and analysis tasks.

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    Enables AI models to access GitHub repository contents as context, with features to fetch entire repositories, specific file contents, and repository structures for use in AI interactions.
    Last updated
    3
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    2
    MIT

  • Why this server?

    Enables semantic code search and advanced architectural analysis, helping AI agents rapidly understand the structure and relationships within a codebase.

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    Enables AI assistants to understand and navigate codebases through structural analysis. Provides code mapping, symbol search, and impact analysis using ast-grep for accurate parsing of Python, JavaScript, TypeScript, and Go projects.
    Last updated
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    49
    MIT

  • Why this server?

    Provides semantic code search capabilities across multiple repositories through AI embeddings, offering an advanced way to retrieve and browse code based on meaning.

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    Enables semantic code search across multiple repositories using natural language queries. Provides intelligent code discovery, symbol lookups, and cross-repo dependency analysis for AI coding agents.
    Last updated
    MIT