Okto Pulse Core — spec-driven project management engine with MCP support for AI agents
Project description
okto-pulse-core
Core engine for Okto Pulse — shared models, services, API routes, and MCP server.
You probably want to install
okto-pulseinstead. This package is the internal engine. Theokto-pulsepackage provides the CLI, frontend, and everything you need to get started.
What's inside
- 26 SQLAlchemy models — Boards, Cards, Specs, Ideations, Refinements, Sprints, Agents, Knowledge, Mockups, Validations, etc. (Skills entity dropped in 0.1.5.)
- 17 service classes — Full business logic with governance rules (Skills service dropped in 0.1.5.)
- 11 API route modules — FastAPI REST endpoints
- 150+ MCP tools — Complete Model Context Protocol server for AI agent integration, including:
- Pipeline CRUD (Ideation, Refinement, Spec, Sprint, Card)
- Q&A and choice questions across every entity
- Mockups (HTML+Tailwind, sanitised) and Knowledge Bases at spec/refinement/card scope
- Decisions with supersedence and coverage gates
- Per-card Knowledge attachment lifecycle (
add_card_knowledgeand friends) - 22 Knowledge Graph tools (consolidation, query primario/power, health, dead-letter, schema-migrate, decay tick controllability)
- App factory —
create_app()with dependency injection for auth and storage providers - Embedded Knowledge Graph — per-board Kùzu instance + global discovery meta-graph, deterministic + cognitive workers, 11 node types and 10 relationship types
Architecture
┌─────────────────────────────────────────────────────────┐
│ Single Python process (single Kùzu lock holder) │
│ │
│ ┌─────────────────┐ ┌──────────────────┐ │
│ │ uvicorn :api │ │ uvicorn :mcp │ │
│ │ FastAPI app │ │ MCP ASGI app │ │
│ │ /api/v1/* │ │ /mcp │ │
│ │ /static, SPA │ │ streamable-http │ │
│ └────────┬────────┘ └────────┬─────────┘ │
│ │ │ │
│ └─────────┬─────────────────┘ │
│ │ │
│ shared module-level state: │
│ - Mongo session factory (init via lifespan) │
│ - _global_db (Kùzu cache) │
│ - _active_api_key (ContextVar) │
└─────────────────────────────────────────────────────────┘
build_mcp_asgi_app() and mount_mcp(app) are the two helpers exposed from okto_pulse.core.mcp — pick build_mcp_asgi_app() to drive a separate uvicorn Server (the community edition does this for the --mcp-port listener) or mount_mcp(app) to mount the MCP sub-app under an arbitrary path on an existing FastAPI app.
Release Notes
0.1.5 — current
Fix C: single-process, dual-port serve (Kùzu lock contention)
okto-pulse serve now runs API/UI and MCP from a single Python process but on two different ports (--api-port defaults to 8100, --mcp-port defaults to 8101). Two uvicorn.Server instances run concurrently inside one asyncio.gather — the embedded Kùzu DB is owned by exactly one OS process (no inter-process lock contention), and the two listeners share the module-level state (the registered session factory, the _global_db Kùzu cache, the _active_api_key ContextVar).
What you get:
- No Kùzu file-lock thrash — the embedded DB does not support multiple writers, so a single Python process is the only safe topology. The
kg.db_open.lock_retry path=... attempt=N/5warnings disappear. - Independent ports — keep
:8100for the SPA fetches and:8101for the MCP HTTP transport, unchanged from earlier releases. - One lifespan —
init_db, KG worker startup, scheduler boot, andregister_session_factoryall run once on the API listener; the MCP sub-app picks up the registered factory automatically.
Public surface:
okto_pulse.core.mcp.build_mcp_asgi_app()— returns the MCP ASGI app wrapped in theApiKeySessionMiddleware(handles?api_key=/X-API-Key/Authorization: Bearerand binds the key to the requestContextVar).okto_pulse.core.mcp.mount_mcp(app, mount_path="/mcp")— mounts the same ASGI app onto an existing FastAPI app at the given path (community does this when an embedded mount is needed).okto_pulse.core.mcp.register_session_factory(factory)— call from the API lifespan so the MCP sub-app finds the DB. Idempotent.
Spec Skills entity removed in its entirety
The experimental "skills" feature on the spec entity is gone. Adoption was zero in real boards and knowledge entries already cover the reusable-context use case more naturally — the dedicated tab, MCP tools, REST endpoints and ORM table were paying recurring maintenance cost without return.
What goes away:
- 5 MCP tools removed —
okto_pulse_create_spec_skill,okto_pulse_delete_spec_skill,okto_pulse_spec_skill_retrieve,okto_pulse_spec_skill_inspect,okto_pulse_spec_skill_load. - 4 REST endpoints removed —
GET / POST / PATCH / DELETE /api/v1/specs/{spec_id}/skills(and the{skill_id}variants). - 5 permission flags removed —
spec.skills.{read,load,create,delete,recall}from the registry and from every preset. - Database table dropped —
spec_skills. Migration is idempotent (DROP TABLE IF EXISTS); no downgrade — the data is gone. - Pydantic schemas removed —
SkillSectionSchema,SpecSkillCreate,SpecSkillUpdate,SpecSkillResponse,SpecSkillSummary. Theskillsfield is gone fromSpecResponse. agent_instructions.mdscrubbed — Quick Navigation, the dedicated Spec Skills section, the spec-authoring workflow step and the destructive-operations row no longer reference skills.
Reader-side defensive handling: BaseSchema now sets extra="ignore" so historical payloads still carrying a skills field validate silently — no warning, no log, no error. There is nothing to migrate; the field is dropped on read.
Use knowledge entries (spec_knowledge, card_knowledge) and decisions for the same use case.
Agent instructions overhaul
agent_instructions.md was reviewed end-to-end. Three behavioural sections were added in response to repeated drift patterns observed across production sessions:
- § 2.1a Ambiguity-killer protocol — at ideation, the agent must scan the user's request against a table of ambiguity symptoms (vague verbs, undefined nouns, multiple plausible interpretations, implicit success criteria, implicit scope) and post Q&A items for every gap before advancing the ideation. "Just make a reasonable choice" is permission, not silence — it must be recorded explicitly.
- § 2.2a Investigação profunda obrigatória (refinement) — refinement is research, not paraphrasing. The agent must exhaust all applicable sources (project files, source code, KE, Knowledge Graph, mockups, web docs, online discussions, runtime evidence, stakeholder context) and the refinement body must cite each finding with
path:line, KE titles, KG node ids or URLs. - § 2.8 Card-level artifact attachment (MANDATORY) — every card must be self-contained. KE/mockup dependencies must be attached directly to the card via
copy_knowledge_to_card/copy_mockups_to_card/add_card_knowledge/add_screen_mockup(entity_type="card"). Vague references to "see the spec" are a protocol violation.
Cleanup:
- Quick Navigation header Multi-value Parameters — Two Accepted Formats corrected to Three Input Shapes (the section was extended to native
list[str]in 0.1.4). - Obsolete
delete_task_validationreference removed from the Available Tools → Evaluations & Validations table (the tool never shipped). okto_pulse_create_sprintparameter list aligned with the schema (objective?andexpected_outcome?were missing).- Duplicate "Startup Protocol" subsection deleted — Pre-Flight Checklist is the single source of truth.
Other improvements
- MCP
ApiKeySessionMiddlewarerewritten on top ofContextVar— required because the FastAPI process serves multiple concurrent requests and the previous module-level global would leak identities across requests. Token-based set/reset pattern protects against exception leaks. run_mcp_serverretained for legacy callers, now defers tobuild_mcp_asgi_appfor ASGI-mode embeds.
To upgrade an existing install: pip install -U okto-pulse okto-pulse-core and then okto-pulse init --agents to regenerate .mcp.json (the URL still points at port 8101 by default; override with --mcp-port if you remapped). No downstream contract changes for MCP clients — the wire protocol and tool catalog (sans 5 skills tools) are unchanged.
0.1.3 — previous stable (PyPI)
First hardening pass on the card lifecycle, the analytics contract, and the MCP instruction set.
CardService.delete_cardcascades through every spec-side JSON list (test_scenarios[].linked_task_ids,business_rules[],api_contracts[],technical_requirements[],decisions[]) and through bug cards'linked_test_task_ids. The transactional cascade unblocks the delete→recreate flow that previously tripped_validate_spec_linked_refs.- Analytics card-type classifier uses enum identity instead of
str(card.card_type).endswith(...).total_cards_impl/test/bug,task_validation_gate.total_submitted,velocity[].test/bug, andbug_rate_per_specnow report real counts. parse_multi_valuehelper consolidated the scattered.split("|")pattern; pipe-separated and JSON-array inputs are autodetected.- MCP agent instructions rewritten (1830 → 2050 lines) with new sections for Multi-value Parameters, Destructive Operations, Versioning & Concurrent Edits, Security, Analytics-Driven Closure.
0.1.1 — initial PyPI release
26+1 SQLAlchemy models, 17+1 service classes, 11 API route modules, 119 MCP tools, embedded Kùzu Knowledge Graph with deterministic workers. (Spec Skills shipped here and was removed in 0.1.5.)
(Version 0.1.2 was published to TestPyPI only as a release candidate for 0.1.3.)
License
Elastic License 2.0 — free for personal and commercial use. Cannot be offered as a hosted/managed service.
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