Tasker
Tasker MCP server by Luis Sanchez that bridges AI assistants with Android's Tasker automation platform through HTTP API integration, enabling conversational control of device automation tasks, smart home routines, and custom workflows. The implementation includes a CLI server with both stdio and SSE transport modes, a utility for converting Tasker XML exports into MCP tool definitions, and support for dynamic argument parsing from Tasker task variables with proper type inference and validation. Built with Go and designed for Android power users, it transforms Tasker's extensive automation capabilities into AI-accessible tools, making it valuable for voice-controlled home automation, contextual device management, and integrating physical world actions into AI workflows through Tasker's deep Android system integration.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- iot-hardware
- Source
- PulseMCP
- Repository
- github.com/dceluis/tasker-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Tasker 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.