Skip to main content
Glama
RanjithKumarSeekolu

dejank

by RanjithKumarSeekolu
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to dejank

No user-submitted related servers found.

    Related Servers

    • Mobile Device MCP

      srmorete
      A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server that lets AI agents control iOS and Android devices (tap, scroll, type, take screenshots, read UI trees, and run code). Works with multiple devices at the same time.
      66 npm
      52
      MIT

    • expo-mcp-bridge

      Rudrasamadhiya
      A
      license
      Not graded
      quality
      A
      maintenance
      Lets MCP-capable AI agents control an Expo / React Native app running live in Expo Go on a real phone, reading a compact token-cheap outline of the visible screen and performing taps, text entry, scrolling, toggles and navigation. Also exposes screenshots, layout, console logs, network requests and hardware keys, and attaches new JS errors and failed requests to the action that caused them.
      208 npm
      1
      MIT

    • mcp-rn-devtools

      pablonortiz
      A
      license
      Not graded
      quality
      A
      maintenance
      This MCP server enables real-time debugging and inspection of running React Native apps, providing access to console logs, errors, network requests, navigation state, storage, and performance profiling.
      1
      MIT
    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3.1/5.0

    Scored across 16 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: target discovery, capability probing, JS/React profiling (start/stop/capture), UI tree, interaction, logs, screenshots, and artifact listing. The profile tools are differentiated by 'js' vs 'react' and 'start/stop/capture', and the high-level investigate_slow_screen is explicitly preferred over chaining, reducing ambiguity.

    Naming Consistency5/5

    All tools use snake_case with a verb-first pattern (investigate_, list_, get_, start_, stop_, capture_, take_, tap). The modifiers 'js' vs 'react' and 'profile' are applied uniformly, creating a predictable and readable convention.

    Tool Count4/5

    16 tools is slightly above the typical 3-15 well-scoped range, but each tool serves a distinct purpose in the performance diagnostic workflow. The redundancy between capture and start/stop pairs is justified by different use cases (fixed-duration vs manual repro), so the count is reasonable if slightly heavy.

    Completeness5/5

    The tool set covers the full diagnostic lifecycle: target discovery, capability probing, JS and React profiling, UI tree inspection, interaction, device logs, screenshots, and artifact management. The one-shot investigate_slow_screen provides a high-level entry point, while the granular tools allow manual control, leaving no obvious gaps for the stated purpose.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources