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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Sleuth
Sleuth

Sleuth

Founded 2019

Govern, distribute, and track AI agent and MCP servers across engineering teams

You can use Sleuth Skills to manage, distribute, and govern AI agent skills, rules, and MCP servers across your entire engineering team. It serves as a central registry where you can version agent configurations and distribute them to coding clients like Cursor, Claude Code, and GitHub Copilot. You can track real-time runtime visibility, token usage, and cost attribution per skill. Sleuth Skills also provides role-based access control, approval workflows, and audit logs to ensure security and compliance across all developer workstations.

What Sleuth does

Distribute MCP server configurations across development environmentsConfigure role-based access controls for AI prompts and agent skillsTrack token consumption and cost attribution per developer or teamReview and approve changes to agent rules and skill definitionsPin agent skill versions to prevent breaking changes across teamsMonitor real-time deployment status of agent skills across developer machinesCentralized distribution of agent skills and MCP servers across multiple coding clientsRuntime observability to track active versions, token consumption, and cost per skillRole-based access controls and approval workflows for AI rules and promptsVersion control with rollback capabilities and canary releases for agent configsSingle command-line utility to synchronize configurations on developer machinesImport capabilities from existing codebases, repositories, or external catalogs

Frequently asked

CursorCursorGitHub CopilotGitHub CopilotGeminiGeminiClineClineGithubGithub

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Sleuth Skills, Sleuth, AI agent governance, MCP server management, Model Context Protocol, AGENTS.md, Cursor, Claude Code, GitHub Copilot, prompt management, AI coding assistant, developer tools, runtime observability, agent audit trails, token usage tracking