data-ai MCP Server
A workflow-driven AI agent framework that executes YAML-defined decision trees.
Discovered via agent-topic:ai-agent and last synced 2mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
**Auto-compaction (microcompact + LLM summary)**
Whatever the LLM decides
MCP
**Progressive skill loading, per node**
**Agent loop per node**
Any kind of node (API call, transform, AI Agent subflow)
Docs
T[Tool Registry, 21+ tools] T --> P[Permissions + Hooks] P --> X["Files
**Per-node scoping**
**Turn budget with urgency injection**
What it does
_stream--json-blueviolet" alt="Output"> </p> --- ## Why Leeway? **You want to automate the same multi-step task. A skill or system prompt can guide the agent, but it can't pin the order: every run reads different files, uses different tools, reaches different conclusions. Nothing you can repeat, nothing you can audit.** Leeway enforces the graph. You write a YAML decision tree; the same nodes run in the same order every time. Each node picks its own tools and runs a full agent loop: the LLM iterates and emits a `workflow_signal` when done. The graph transitions on those signals. ### Tools comparison