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⇱ A knowledge base for advanced JavaScript programming | Glama


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A knowledge base for advanced JavaScript programming

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  • Why this server?

    Provides a Node.js implementation of the Model Context Protocol server using SQLite, offering a npx-based alternative, potentially useful for running a local javascript knowledge base.

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    A Node.js implementation of the Model Context Protocol server using SQLite, providing a npx-based alternative for environments lacking Python's UVX runner.
    Last updated
    1,776
    18
    MIT
  • Why this server?

    Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.

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    Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.
    Last updated
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    MIT
  • Why this server?

    Analyzes React projects locally, providing consistent output with AST parsing and AI, creating markdown docs and llm.txt for your React code.

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    * analyze your react projects locally * consistent output w/ AST parsing + AI * create markdown docs, llm.txt for your react code at once
    Last updated
    20
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    ISC
  • Why this server?

    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context

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    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
    Last updated
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    MIT
  • Why this server?

    A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment. Useful for getting knowledge from web resources.

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    A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.
    Last updated
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  • Why this server?

    Analyzes source code dependencies across multiple programming languages in the specified directory to identify file relationships, assisting in dependency management and project structure understanding.

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    Analyzes codebases using Repomix and LLMs to provide structured code reviews with specific issues and recommendations, supporting multiple LLM providers including OpenAI, Anthropic, and Gemini.
    Last updated
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  • Why this server?

    Analyzes source code dependencies across multiple programming languages in the specified directory to identify file relationships, assisting in dependency management and project structure understanding.

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    Analyzes source code dependencies across multiple programming languages in the specified directory to identify file relationships, assisting in dependency management and project structure understanding.
    Last updated
    1
    1
    MIT
  • Why this server?

    Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface. Could be used to access a locally stored javascript knowledge base.

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    Enables AI models to perform file system operations (reading, creating, and listing files) on a local file system through a standardized Model Context Protocol interface.
    Last updated
    3
  • Why this server?

    Enables AI language models to interact with macOS through AppleScript, potentially for tasks related to managing local javascript files or knowledge bases.

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    Enables LLM applications to interact with macOS through AppleScript.
    Last updated
    33
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    MIT