learning_ai_common_plat/services/mcp-server
saravanakumardb1 40db19a389 feat(mcp-server): Add 2 high-priority A2A pipelines
- regression-watch-pipeline.ts: Monitor error clusters and auto-create diagnostics sessions
- post-incident-cleanup-pipeline.ts: Resolve clusters, delete policies, export audit logs
- a2a-tools.ts: Register both pipelines as MCP tools (a2a.regressionWatch, a2a.postIncidentCleanup)
- Fix platform-client function names and TelemetryCluster interface usage
- Both pipelines support dryRun mode and proper error handling
- Fix ESLint warnings: remove unused imports, add proper types

All tools require admin role and use existing platform-service endpoints.
2026-03-05 22:07:42 -08:00
..
src feat(mcp-server): Add 2 high-priority A2A pipelines 2026-03-05 22:07:42 -08:00
.env.example feat(mcp-server): Phase 3 — product namespaces for ChronoMind, NomGap, PeakPulse (13 more tools) 2026-03-05 13:05:03 -08:00
.gitignore feat(mcp-server): scaffold @bytelyst/mcp-server on port 4006 with 10 tools across 4 namespaces 2026-03-05 11:47:08 -08:00
Dockerfile fix(mcp-server): Dockerfile — copy all 33 workspace package.json files for complete pnpm --frozen-lockfile resolution 2026-03-05 12:07:03 -08:00
package.json fix(mcp-server): add missing jose + @fastify/cors deps; use ServiceError subclasses for 401/403; remove swagger option that crashed startup; add AbortSignal.timeout to platformFetch 2026-03-05 12:06:54 -08:00
tsconfig.json feat(mcp-server): scaffold @bytelyst/mcp-server on port 4006 with 10 tools across 4 namespaces 2026-03-05 11:47:08 -08:00
vitest.config.ts feat(mcp-server): scaffold @bytelyst/mcp-server on port 4006 with 10 tools across 4 namespaces 2026-03-05 11:47:08 -08:00