Status basis: npm_downloads_7d momentum fell to -20556 per 3d from 3434 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -20556 per 3d from 3434 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -20556 per 3d from 3597 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 4022 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 4022 (<= 40% of the prior window)
- Anomaly daily change -9145.0 is -3.2 standard deviations from this entity's own prior mean (962.1±3159.0, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change -9145.0 is -3.2 standard deviations from this entity's own prior mean (962.1±3159.0, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to -11621 per 3d from 7476 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 9969 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -211 per 3d from 12721 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 7476 in the last 3d vs 4598 in the 3d before (ratio 1.6x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -211 per 3d from 12721 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 9969 in the last 3d vs 2921 in the 3d before (ratio 3.4x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 12721 in the last 3d vs 380 in the 3d before (ratio 33.5x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 4598 in the last 3d vs 1593 in the 3d before (ratio 2.9x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 2921 per 3d from 9070 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 4598 in the last 3d vs 1593 in the 3d before (ratio 2.9x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 380 per 3d from 21024 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 1593 per 3d from 24259 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 777 per 3d from 24259 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 21024 in the last 3d vs 4012 in the 3d before (ratio 5.2x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 24898 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 11954.0 is 5.0 standard deviations from this entity's own prior mean (696.7±2240.7, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 11954.0 is 5.0 standard deviations from this entity's own prior mean (696.7±2240.7, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change -5635.0 is -3.3 standard deviations from this entity's own prior mean (897.1±2003.8, baseline excludes this point) — unusual, not necessarily adoption
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | 1 | inferred | 1 quote(s) |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 1 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | mcp | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
Establishes a foundational protocol for AI automation on mobile, filling a critical gap in the agent ecosystem for mobile environments.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Run it against devices on your own machine”— readme
“interact with native iOS/Android applications and devices”— readme
“Model Context Protocol Server for Mobile Automation and Scraping”— description
“This is a Model Context Protocol (MCP) server that enables scalable mobile automation”— readme
FAQ
What is mobile-mcp?
mobile-mcp provides a standardized protocol layer for running AI-driven automation and scraping tasks on mobile devices, including iOS, Android, and emulators.
What does mobile-mcp do?
Run AI-powered automation tasks like form filling and data scraping on mobile devices or emulators.
Why does mobile-mcp matter?
Establishes a foundational protocol for AI automation on mobile, filling a critical gap in the agent ecosystem for mobile environments.
Is mobile-mcp open source?
Yes — mobile-mcp is open source.
Can I self-host mobile-mcp?
Yes — mobile-mcp can be self-hosted.
What does mobile-mcp integrate with?
mcp
How popular is mobile-mcp?
As tracked by KanonAgent: 3.2k upvotes (first indexed 2026-08-30).
What are the best mobile-mcp alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, taste-skill, archify, open-design, deer-flow, ruflo.