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Alternatives to Deixis

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to connect to Language Server Protocol servers as a headless editor, exposing LSP capabilities like diagnostics, rename, and formatting through MCP tools and resources.
      13 npm
      MIT
    • F
      license
      Not graded
      quality
      Not graded
      maintenance
      Exposes VSCode's Language Server Protocol features through MCP, enabling AI assistants to perform language-aware operations like symbol navigation, reference tracking, safe renaming, type information retrieval, and hover documentation across codebases.
      -
    • A
      license
      Not graded
      quality
      F
      maintenance
      Exposes Language Server Protocol (LSP) functionality as Model Context Protocol (MCP) tools, enabling AI clients to programmatically analyze and edit code in any language supported by VS Code.
      17 npm
      33
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Exposes Language Server Protocol (LSP) features as MCP tools, enabling IDE-grade semantic navigation including go-to-definition, find references, hover info, and symbols across multiple programming languages (Python, Rust, C/C++, TypeScript/JavaScript, React, HTML, CSS).
      4
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP-compatible AI coding agents to retrieve real-time language-server diagnostics, type and symbol information, definitions, references, workspace-wide renames, and file operations from an open editor. This provides accurate code navigation and editing context without waiting for slow tsc or eslint checks.
      MIT
    • A
      license
      Not graded
      quality
      F
      maintenance
      Provides AI agents with language-aware code analysis through the Language Server Protocol, enabling tasks like getting code insights and diagnostics.
      5 npm
      192
      MIT