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Orchestrate composable skill packets, route workflows, and apply release audit rubrics.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "TMCP" yet — see the docs or source repo.
Break the task into composable skill packets and explain how they fit together.
A set of reusable skill packets and how they compose.
Given this workflow goal, choose the appropriate route and briefly justify it.
A recommended route with a short rationale.
Review this work against the release/audit rubric and list the key checkpoints.
Audit checkpoints and pre-release considerations.
Use it when a task has multiple steps, roles, or capabilities. It helps turn the process into composable skill packets for teams that want a standardized way of working.
Use it when you need to branch or orchestrate among multiple workflows. It fits MCP-oriented workflow organization.
Use it to apply rubrics before release and check quality or audit requirements. It works well for release gates and review checklists.
TMCP is an MCP-based tool focused on composable skill packets, workflow routing, and release/audit rubrics. It is more of a workflow orchestration and review framework than a single-purpose tool.
The provided material does not specify installation steps, runtime requirements, or secrets; see the source repository.
Based on the description, it emphasizes composing skill packets and using MCP for routing and auditing. Compared with a typical workflow tool, it focuses more on skill packaging and release-check rules.
Publish, author, and reuse AI tools and skills via MCP and REST.
Control agent workflows with stateful primitives and persisted execution facts.
Score trust and safety before installing MCP servers, AI skills, or npm packages.
Compile and serve skill definitions to AI agents via MCP.
Orchestrate MCP AI workflows with policy enforcement, auditing, and execution monitoring.
Manage agent skills and MCP servers, and sync them across development harnesses.