mcp
This Skill provides documentation and guidance for Splitrail's MCP server implementation, which exposes usage statistics and analytics tools to AI assistants. It clearly explains available tools like get_daily_stats and get_model_usage, shows how to run the server, and provides concrete steps for extending the system with new tools and resources.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install piebald-ai-splitrail-mcp
Repository
Skill path: .claude/skills/mcp
This Skill provides documentation and guidance for Splitrail's MCP server implementation, which exposes usage statistics and analytics tools to AI assistants. It clearly explains available tools like get_daily_stats and get_model_usage, shows how to run the server, and provides concrete steps for extending the system with new tools and resources.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: DevOps, Backend, Data / AI, Integration.
Target audience: DevOps teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Piebald-AI.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install mcp into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Piebald-AI/splitrail before adding mcp to shared team environments
- Use mcp for devops workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.