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    maintenance
    Enables AI assistants to estimate monocular depth maps from local or remote images and frame-by-frame video using bundled ONNX Depth Anything V2 models, without requiring PyTorch. Also exposes tools for listing and pre-downloading checkpoints and checking the runtime backend, with automatic GPU/CPU selection.
    Apache 2.0
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    C
    maintenance
    Multi-purpose research MCP server integrating web search, deep research, web scraping, research methodology routing, and GPT Researcher report generation.
    MIT
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    license
    A
    quality
    B
    maintenance
    Enables federated multi-source research by fanning out queries across web, community, and social sources, deduplicating and interleaving results, and storing a persistent corpus for cross-checking.
    6
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables Codex to rank available tools and skills, rerank code and documentation search results, and triage saved output artifacts using Jev-based relevance scoring while leaving final decisions to Codex.
    1
    3
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables MCP clients to open websites, capture screenshots at multiple breakpoints, and run automated design audits for issues like overflow, small tap targets, low contrast, missing alt text, tiny text, and clipped content.
    9
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.
    1
    1
    MIT
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    license
    B
    quality
    A
    maintenance
    MCP server for web research using anti-detect Camoufox browser. Enables search, page reading (including JS/SPA), batch fetching, clicking, typing, and live browsing sessions with caching and retries.
    61
    16
    MIT
  • A
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    quality
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    maintenance
    Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.
    MIT
  • A
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    quality
    D
    maintenance
    Enables AI assistants to discover and manage arXiv papers by searching for papers, extracting metadata, and browsing saved collections, all within the conversation.
    1
    MIT