data-ai MCP Server
Rust AI agent orchestration platform with App Server, rules, skills, GC, and observability.
Discovered via agent-topic:ai-agent and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Purpose
JSON-RPC method definitions, envelopes, notifications, codecs
`initialize`, `initialized`
`preflight`, `cross_review`
Skill discovery, deduplication, search, and persistence
`rule/load`, `rule/check`
`event/log`, `event/query`, `metrics/collect`, `metrics/query`
`health/check`, `stats/query`, `agent/list`
Event storage, quality grading, health/stat aggregation, OTLP export
`skill/create`, `skill/list`, `skill/get`, `skill/delete`, `skill/governance/view`, `skill/governance/history`, `skill/stale`
App Server runtime (HTTP + stdio + WebSocket), routing, handlers, task/thread stores
`harness` binary with serve/exec/gc/rule/skill/plan commands
Agent adapters (Claude CLI, Codex CLI, Anthropic API) and registry
Methods
`exec_plan/init`, `exec_plan/update`, `exec_plan/status`
Rule loading/parsing, Starlark execution policy engine
`thread/start`, `thread/resume`, `thread/fork`, `thread/list`, `thread/delete`, `thread/compact`
Shared domain types, config, prompts, agent/interceptor traits
ExecPlan model plus Markdown serialization/deserialization
`gc/run`, `gc/status`, `gc/drafts`, `gc/adopt`, `gc/reject`
Signal detection and draft remediation generation/adoption
`turn/start`, `turn/steer`, `turn/cancel`, `turn/status`, `turn/respond_approval`
`task/classify`, `learn/rules`, `learn/skills`