AutoBuild
This MCP server provides AI assistants with profile-based build automation capabilities, featuring asynchronous build queuing, file system watching with debounced triggers, and comprehensive build lifecycle management. Built using Python with FastMCP, psutil for process management, and watchdog for file monitoring, it supports concurrent build execution (default: 2), persistent state management through JSON storage, and automatic build triggering when project files change with configurable ignore patterns to prevent recursion. The implementation includes tools for build configuration, manual and automatic build triggering, status monitoring, log retrieval with tailing support, and process termination, along with systemd service integration for Linux deployment and cross-platform batch/shell scripts for setup, making it valuable for development workflows requiring automated builds, continuous integration scenarios, and building AI assistants that need programmatic access to build systems without manual intervention.
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
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/admica/autobuildmcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve AutoBuild 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.