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"A tool for analyzing Indian stock data for investment decisions using LLMs and news insights" matching MCP servers:

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  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.
    96 npm
    -
  • A
    license
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    quality
    C
    maintenance
    A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.
    1
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.
    52
    223 npm
    3
    MIT
  • A
    license
    B
    quality
    F
    maintenance
    Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.
    3
    GPL 3.0
  • F
    license
    C
    quality
    D
    maintenance
    A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.
    3
    4 npm
    1
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  • F
    license
    C
    quality
    C
    maintenance
    An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.
    15
    4
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  • A
    license
    C
    quality
    B
    maintenance
    MCP server that launches Mesen/MesenCE headlessly and exposes the emulator's debugger-face Lua API over MCP JSON-RPC, enabling AI agents to load ROMs, step frames, inspect memory/registers, manage breakpoints/watches, trace execution, and export Code/Data Logger maps for SNES, NES, PC Engine, and Game Boy Advance.
    22
    GPL 3.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables MCP-compatible AI clients to inspect Godot project and editor state, observe opted-in running scenes, manage processes, and apply permission-scoped guarded edits. It starts read-only and exposes additional capabilities only through explicit command-line flags.
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    A live MCP server that connects AI assistants to a running Obsidian instance, enabling full app automation including reading notes, clicking UI elements, managing plugins, and executing JavaScript.
    43
    156 npm
    3
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that exposes the llms.txt file and its referenced local or external resources from a project root to provide context for AI models. It automatically parses documentation links and URLs to make them accessible as additional MCP resources.
    1
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    A local, offline MCP server that enables AI agents to collaborate with SketchUp for controlled modeling, editing, and review tasks via 41 MCP tools.
    4
    Apache 2.0