AutoGLM Phone
Enables automated control of Android devices through vision-language models that understand screen content and execute touch interactions via ADB. Built by Zhipu AI using their AutoGLM phone model, this server captures screenshots, analyzes UI elements, and performs actions like tapping, swiping, typing, and app launching based on natural language instructions. Supports asynchronous task execution with progress tracking, making it useful for automating mobile workflows like shopping, messaging, or app navigation without manual interaction. Requires Android 7.0+ with USB debugging enabled.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/xinnan-tech/xiaozhi-autoglm-mcp
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve AutoGLM Phone from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.