mcp_knowledge_ops 0.2.0

Knowledge operations including pipelines, workflows, scheduling, and automated processing for curation, summarization, and pattern mining in the MCP ecosystem.

0.2.0 - 2026-04-28 - Stateless Orchestration & New Pipelines

Added

• Central ExecutionEngine coordinating pipeline and workflow runs.
• New built-in pipelines — ingest, summary refresh, index rebuild, cascade refresh, clustering — alongside existing curation and pattern mining.
• Workflow subsystem — review models, approval routing, cancellation.
• Scheduler — MCP tools integration, scheduler events.
• Runbooks subsystem.
• Observability layer — events, errors, structured logging / metrics / tracing.
• Standard port adapters implementing mcp_bundle ops Contract Layer.

Changed

• Persistence delegated to mcp_fact_graph; mcp_knowledge_ops is now a stateless orchestration layer.
• Pipeline / workflow infrastructure restructured around the new execution engine.
• New dependency: mcp_bundle ^0.3.0.

Removed

• Document, embedding, extraction, index, retrieval, search subsystems — now owned by mcp_fact_graph or replaced by Contract Layer ports.
• Standalone summarization pipeline (replaced by summary refresh pipeline).

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0.1.1 Bugfix

Fixed

• Removed duplicate OpsLlmPort, OpsLlmRequest, LlmCompletion definitions
• Unified LLM Port types to use mcp_bundle Contract Layer exclusively
• Updated pipeline classes to use LlmPort instead of OpsLlmPort
• Fixed documentation examples to use correct LlmResponse.content field

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0.1.0 Initial Release

Added

Core Features

• Pipeline System

  • Pipeline model with sequential stages
  • PipelineStage for individual processing steps
  • PipelineExecutor for pipeline execution
  • PipelineResult with metrics and output
  • Checkpoint support for state persistence
  • Retry policies for error recovery

• Workflow System

  • Workflow model for complex orchestration
  • WorkflowAction for discrete steps
  • WorkflowExecutor for workflow execution
  • Conditional branching support
  • Variable scoping and passing
  • Event-driven execution

• Scheduling System

  • Scheduler for automated job execution
  • ScheduledJob for job definitions
  • CronSchedule for cron-like expressions
  • Concurrent job limiting
  • Timezone support

• Built-in Operations

  • CurationPipeline for candidate curation
  • SummarizationPipeline for summary generation
  • PatternMiningPipeline for pattern discovery
  • Configurable thresholds and parameters

• Port-Based Architecture

  • OpsPort for operation execution
  • FactGraphPort for fact graph access
  • LlmPort for LLM integration

Pipeline Features

• Sequential stage execution
• Checkpoint save/restore
• Metrics collection
• Error handling and retry
• Timeout management

Workflow Features

• Action sequencing
• Conditional branching
• Variable interpolation
• Parallel execution
• Error recovery

Scheduling Features

• Cron expression support
• One-time and recurring jobs
• Job dependencies
• Execution history

Data Models

• Pipeline - Pipeline definition
• PipelineStage - Pipeline stage
• PipelineResult - Execution result
• PipelineContext - Execution context
• Workflow - Workflow definition
• WorkflowAction - Workflow action
• WorkflowExecution - Execution state
• ScheduledJob - Job definition
• CurationInput/Output - Curation I/O
• SummarizationInput/Output - Summarization I/O
• PatternMiningInput/Output - Pattern mining I/O

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Support and Contributing

• Report Issues
• Join Discussions
• Read Documentation
• Support Development