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Using GitLab Semantic Search for Code Implementation MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

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16,911 servers. Last updated 2026-02-04 02:29

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"Using GitLab Semantic Search for Code Implementation" matching MCP servers:

  • semantic-code-mcp

    vrppaul
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    A local MCP server that provides semantic code search for Python codebases using tree-sitter for chunking and LanceDB for vector storage. It enables natural language queries to find relevant code snippets based on meaning rather than just text matching.
    Last updated 3 days ago
    1

  • Semantic Search MCP

    bborbe
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    security
    A
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    quality
    Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.
    Last updated 14 days ago
    BSD 2-Clause "Simplified"

  • Semantic Search MCP Server

    mix0z
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    security
    F
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    quality
    Enables AI agents to perform semantic search over codebases by converting natural language queries into efficient search patterns like grep and ripgrep. It utilizes LLMs to verify relevance and find code snippets that traditional keyword-based searches might miss.
    Last updated 2 months ago

  • GitLab Code Review MCP

    lininn
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    security
    A
    license
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    quality
    Enables AI assistants to review GitLab merge requests by fetching diffs, analyzing code changes, adding comments, and managing approvals through the GitLab API. Supports comprehensive merge request analysis and version comparison for automated code review workflows.
    Last updated 5 months ago
    1
    MIT

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