Deskdrop: Android keyboard with local AI (Ollama, Whisper, MCP) or cloud (Gemini, Groq, OpenAI)

by SvReenen · MCP Server · ★ 55

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiai-keyboardandroidandroid-keyboardheliboardkeyboardkotlinllama-cppllmlm-studio

Quick Facts

Stars55
Forks12
LanguageKotlin
CategoryMCP Server
LicenseGPL-3.0
Quality Score63/100
Open Issues4
Last Updated2026-10-06
Created2026-04-11
Platformsgemini, mcp
Est. Tokens~18k

About Deskdrop

Deskdrop []() Deskdrop is an Android keyboard with AI built in. Use Ollama, any OpenAI-compatible server, or a cloud API key. Built on HeliBoard. Demo AI Toner - Rewrite selected text with one tap. All buttons are fully configurable in settings.

Compatible Skills

These tools work well together with Deskdrop for enhanced workflows:

  • LeanType — semantic(0.47)+complementary+rare_topics+same_lang+shared_platform (67%)
  • SuperPowersWUI — semantic(0.17)+complementary+shared_fw(ollama,openai)+rare_topics+similar_pop (62%)
  • HeliboardL — semantic(0.47)+complementary+rare_topics+shared_platform (57%)

Deskdrop alternative? Top 6 similar tools

Looking for a Deskdrop alternative? If you're comparing Deskdrop with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • penpot-mcp by montevive · ⭐ 240

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  • captain-claw by kstevica · ⭐ 193

    Command a fleet of AI agents, on every deck, every desk, every wrist. Self-hosted multi-agent platform with me

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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