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MCP server · Science

DecisionGraph

DecisionGraph is an engineering decision memory system that captures evidence from GitHub/Slack/Jira, answers “why” questions, and runs pre-change guardrails via CLI/API/MCP.

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About DecisionGraph

DecisionGraph is an MCP server in the Science category: decisionGraph is an engineering decision memory system that captures evidence from GitHub/Slack/Jira, answers “why” questions, and runs pre-change guardrails via CLI/API/MCP.

Install

From source
git clone https://github.com/hieuchaydi/DecisionGraph

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README

# DecisionGraph

Engineering Decision Memory System with CLI + API + MCP, plus a docs frontend in docs.

Why DecisionGraph

Software teams usually remember what changed, but lose why it changed. DecisionGraph keeps that reasoning traceable with evidence so teams can move fast without repeating old mistakes.

  • Preserve architectural decisions with supporting evidence.
  • Answer why / who / when / what-changed queries quickly.
  • Add pre-change guardrails before risky refactors.
  • Expose the same decision memory through CLI, HTTP API, and MCP tools.

Visual Architecture

DecisionGraph architecture flow

Core Capabilities

1) Ingestion

  • Local text/files/directories.
  • Git commit history.
  • GitHub PRs and Issues.
  • Slack export JSON.
  • Jira export JSON.
  • Generic JSONL event streams.

2) Decision Intelligence

  • Decision query with confidence + warnings.
  • Decision list/search with filters (q, tag, component, owner, decision_type).
  • Supersede flow to link newer decisions over older rationale.
  • Merge/deduplicate flow for overlapping decisions.
  • Timeline view by component/tag/owner/type.
  • Evidence quality scoring with weak-decision detection.
  • Contradiction detection.
  • Stale assumption detection from live metrics.
  • Assumption watcher with warn/critical escalation tracking, audit log, and optional connector notification (webhook|slack|discord|teams).
  • Governance policy mode (off|warn|strict) for required decision fields.
  • Summary report and graph snapshot.

3) Ops + Strategy Utilities

  • KPI snapshots and scenario checks.
  • Evaluation against JSONL benchmark datasets.
  • Security audit, doctor checks, release checks.
  • Strategy section library/search for GTM and product framing.

Quickstart (Backend)

python -m pip install -e ".[dev]"
decisiongraph init --reset
decisiongraph seed-demo
decisiongraph serve --host 127.0.0.1 --port 8000 --seed-demo

Quickstart demo:

DecisionGraph quickstart demo

Health check:

curl http://127.0.0.1:8000/health

Open API docs:

  • http://127.0.0.1:8000/docs

Quickstart (Docker)

cp .env.example .env
docker compose up --build -d

Check health:

curl http://127.0.0.1:8000/health

Tail logs / stop:

docker compose logs -f decisiongraph
docker compose down

Production note:

  • If DECISIONGRAPH_ENV=production, set DECISIONGRAPH_API_TOKEN in .env (or set DECISIONGRAPH_REQUIRE_TOKEN_IN_PRODUCTION=false intentionally).

CLI-Only Mode (No Web Server)

If you only want terminal usage, skip decisiongraph serve.

python -m pip install -e ".[dev]"
decisiongraph init --reset
decisiongraph seed-demo
decisiongraph chat

Windows Command Prompt (cmd):

py -m pip install -e ".[dev]"
decisiongraph init --reset
decisiongraph seed-demo
decisiongraph chat

Inside chat, ask questions directly or use commands:

/help
/list 20
/find <query>
/supersede <new_id> <old_id>
/merge <primary_id> <duplicate_id>
/timeline 20
/quality
/get <decision_id>
/guard <change request>
/contradictions
/stale
/watch
/audit 20
/metrics
/graph
/report json
/exit

Non-interactive CLI equivalents:

decisiongraph list
decisiongraph list --q "rabbitmq" --tag queues
decisiongraph find "rabbitmq" --tag queues
decisiongraph list --owner finance --decision-type risk-policy
decisiongraph query "Why did we cap payment retries at 2?"
decisiongraph supersede <new_decision_id> <old_decision_id>
decisiongraph merge <primary_decision_id> <duplicate_decision_id> --note "dedupe"
decisiongraph timeline --component payment-retry --exclude-superseded
decisiongraph evidence-quality --weak-threshold 0.5
decisiongraph quality --weak-threshold 0.5
decisiongraph watch-assumptions --notify --notify-target slack
decisiongraph watch
decisiongraph audit-log --limit 100 --event assumption.watch_run
decisiongraph audit --limit 100 --event assumption.watch_run
decisiongraph guardrail "Increase retry attempts in payment flow"

If decisiongraph command is not available in PATH:

python -m decisiongraph list
python -m decisiongraph query "Why did we cap payment retries at 2?"

Quickstart (Docs Frontend)

cd docs
npm install
npm run dev

MCP Server (stdio)

decisiongraph mcp

Environment Setup

Create env file:

cp .env.example .env

Windows PowerShell:

Copy-Item .env.example .env

Windows Command Prompt (cmd):

copy .env.example .env

Key variables:

  • DECISIONGRAPH_ENV=development
  • DECISIONGRAPH_DATA_PATH=data/decisiongraph.json
  • DECISIONGRAPH_API_TOKEN optional API key (x-api-key header)
  • DECISIONGRAPH_REQUIRE_TOKEN_IN_PRODUCTION=true blocks startup in production without token
  • DECISIONGRAPH_AUTO_SEED_DEMO=false auto seed demo data at decisiongraph serve startup
  • DECISIONGRAPH_GOVERNANCE_MODE=off governance policy mode (off|warn|strict)
  • DECISIONGRAPH_GOVERNANCE_REQUIRED_FIELDS=owners,assumptions,risks required fields when governance is enabled
  • DECISIONGRAPH_RATE_LIMIT_PER_MINUTE=240 per-client rate limit (0 disables)
  • DECISIONGRAPH_AUDIT_LOG_RETENTION=5000 max retained audit events
  • DECISIONGRAPH_CORS_ORIGINS=http://localhost:3000,http://127.0.0.1:5173
  • DECISIONGRAPH_GITHUB_TOKEN for GitHub ingestion
  • DECISIONGRAPH_GITHUB_BASE_URL=https://api.github.com
  • DECISIONGRAPH_ALERT_WEBHOOK_URL default watcher webhook
  • DECISIONGRAPH_ALERT_SLACK_WEBHOOK, DECISIONGRAPH_ALERT_DISCORD_WEBHOOK, DECISIONGRAPH_ALERT_TEAMS_WEBHOOK connector-specific watcher webhooks
  • SE_URL legacy fallback (prefer DECISIONGRAPH_GITHUB_BASE_URL)
  • GROQ_API_KEY, GROQ_MODELS optional model integration

Security note:

  • Never commit real secrets in .env.
  • Commit only .env.example.

End-to-End Demo (2 Minutes)

  1. Seed data and run API:
decisiongraph init --reset
decisiongraph seed-demo
decisiongraph serve --host 127.0.0.1 --port 8000
  1. Ask a why-question:
curl -X POST http://127.0.0.1:8000/api/query \
  -H "content-type: application/json" \
  -d '{"question":"Why did we cap payment retries at 2?"}'
  1. Run guardrail before change:
curl -X POST http://127.0.0.1:8000/api/guardrail \
  -H "content-type: application/json" \
  -d '{"change_request":"Increase retry attempts in payment flow"}'
  1. Check stale assumptions:
curl http://127.0.0.1:8000/api/assumptions/stale
  1. Search decisions with filters:
curl "http://127.0.0.1:8000/api/decisions?limit=10&q=rabbitmq&tag=queues"
curl "http://127.0.0.1:8000/api/decisions?owner=finance&decision_type=risk-policy"
  1. Link a replacement decision with supersede flow:
curl -X POST http://127.0.0.1:8000/api/decisions/supersede \
  -H "content-type: application/json" \
  -d '{"decision_id":"<new_decision_id>","superseded_decision_id":"<old_decision_id>"}'
  1. Merge duplicate decision records:
curl -X POST http://127.0.0.1:8000/api/decisions/merge \
  -H "content-type: application/json" \
  -d '{"primary_decision_id":"<primary_id>","duplicate_decision_id":"<duplicate_id>","note":"same rationale"}'
  1. Run assumption watcher:
curl -X POST http://127.0.0.1:8000/api/assumptions/watch \
  -H "content-type: application/json" \
  -d '{"warn_severities":["medium","high"],"critical_severities":["high"],"notify":true,"notify_target":"slack"}'

API Surface (Main Endpoints)

System

  • GET /
  • GET /health
  • GET /api/report/summary?format=json|markdown

Decisions

  • GET /api/decisions (supports limit, q, tag, component, owner, decision_type)
  • GET /api/decisions/timeline
  • GET /api/decisions/evidence-quality
  • GET /api/decisions/{decision_id}
  • POST /api/decisions/supersede
  • POST /api/decisions/merge
  • POST /api/query
  • POST /api/guardrail
  • GET /api/contradictions
  • GET /api/assumptions/stale
  • POST /api/assumptions/watch
  • GET /api/audit/logs
  • GET /api/metrics
  • POST /api/metrics
  • GET /api/graph

Ingestion

  • POST /api/ingest
  • POST /api/ingest/directory
  • POST /api/ingest/git
  • POST /api/ingest/jsonl
  • POST /api/ingest/github
  • POST /api/ingest/slack-export
  • POST /api/ingest/jira-json

Intelligence / Ops

  • GET /api/scenarios/run
  • GET /api/kpi/snapshot
  • POST /api/eval/dataset
  • POST /api/eval/benchmark-check
  • POST /api/research/scorecard
  • GET /api/research/interview-script
  • POST /api/research/design-partner-progress
  • GET /api/strategy/sections
  • GET /api/strategy/section/{section_id}
  • GET /api/strategy/search?q=...
  • GET /api/ops/doctor
  • GET /api/ops/runbook
  • GET /api/ops/release-check
  • GET /api/ops/security-audit
  • GET /api/schema/info

CLI Reference

Core

  • decisiongraph init [--reset]
  • decisiongraph seed-demo
  • decisiongraph chat [--list-limit 20] [--guardrail-limit 3]
  • decisiongraph list --limit 20 [--q ...] [--tag ...] [--component ...] [--owner ...] [--decision-type ...]
  • decisiongraph find <query> [--limit ...] [--tag ...] [--component ...] [--owner ...] [--decision-type ...] (alias of search/list)
  • decisiongraph get <decision_id>
  • decisiongraph supersede <decision_id> <superseded_decision_id>
  • decisiongraph merge <primary_decision_id> <duplicate_decision_id> [--note ...]
  • decisiongraph timeline [--limit 200] [--component ...] [--tag ...] [--owner ...] [--decision-type ...] [--exclude-superseded]
  • decisiongraph evidence-quality [--limit 200] [--weak-threshold 0.45]
  • decisiongraph quality [--limit 200] [--weak-threshold 0.45] (alias)
  • decisiongraph query "..."
  • decisiongraph guardrail "..."
  • decisiongraph contradictions
  • decisiongraph stale-assumptions
  • decisiongraph watch-assumptions [--warn medium,high] [--critical high] [--notify --notify-target slack --webhook-url ...]
  • decisiongraph watch [--warn medium,high] [--critical high] [--notify --notify-target ...] (alias)
  • decisiongraph audit-log [--limit 100] [--event ...]
  • decisiongraph audit [--limit 100] [--event ...] (alias)
  • decisiongraph metric-set --key ... --value ... [--unit ...]
  • decisiongraph metrics
  • decisiongraph graph
  • decisiongraph report --format markdown|json [--output ...]

Runtime

  • decisiongraph serve [--host 127.0.0.1] [--port 8000] [--seed-demo|--no-seed-demo]
  • decisiongraph mcp

Ingestion

  • decisiongraph ingest --source <file> --source-id <id> [--source-type note]
  • decisiongraph ingest-text --source-id <id> --text "..." [--source-type note]
  • decisiongraph ingest-dir --directory <dir> [--pattern "*.md"]
  • decisiongraph ingest-git --repo <repo_path> [--max-commits 200] [--ref HEAD]
  • decisiongraph ingest-jsonl --source <file.jsonl> [--source-type external]
  • decisiongraph ingest-github --owner <org> --repo <name> [--state all]
  • decisiongraph ingest-slack-export --export-dir <dir> [--max-messages 1000]
  • decisiongraph ingest-jira-json --source <jira.json>

Insights + Ops

  • decisiongraph scenarios
  • decisiongraph kpi
  • decisiongraph eval-dataset --dataset <eval.jsonl>
  • decisiongraph benchmark-check --dataset <eval.jsonl> [--min-top1 0.7] [--min-keyword-coverage 0.7]
  • decisiongraph research-score --pain-frequency ... --impact ...
  • decisiongraph research-script
  • decisiongraph design-partner-progress
  • decisiongraph strategy-list | strategy-show <section> | strategy-search "..."
  • decisiongraph doctor | runbook | release-check | security-audit | schema-info

MCP Tooling

Run stdio server:

decisiongraph mcp

Tool groups:

  • Core tools: query, list/filter, supersede, merge, timeline, evidence quality, guardrail, contradictions, stale assumptions, watch assumptions, audit logs, metrics, graph, report.
  • Ingestion tools: git/jsonl/github/slack/jira connectors.
  • Insight tools: scenarios, KPI snapshot, dataset evaluation, benchmark gate, research scoring.
  • Strategy/Ops tools: strategy sections, doctor, runbook, release check, security audit.

Project Structure

src/decisiongraph/
  api.py                 FastAPI app assembly
  service.py             Core orchestration logic
  store.py               JSON store with locking + atomic writes
  integrations.py        Connectors (git, GitHub, Slack, Jira, JSONL)
  mcp_server.py          MCP server bootstrap
  cli.py                 Typer CLI entrypoint
  api_routes/            API routers
  cli_commands/          CLI command groups
  mcp_toolsets/          MCP tool groups

tests/                   Backend test suite
tools/                   CI benchmark datasets and helper artifacts
docs/                    Frontend docs app (Vite + React)
assets/                  README visual assets

Quality and Validation

Local quality commands:

python -m pytest -q
decisiongraph benchmark-check --dataset tools/ci_eval.jsonl --seed-demo --min-top1 0.65 --min-keyword-coverage 0.65
cd docs && npm run lint && npm run build

Latest local validation (2026-04-25):

  • Backend tests: pass (59 passed)
  • Benchmark gate (tools/ci_eval.jsonl): pass
  • Frontend lint: pass
  • Frontend build: pass

CI pipeline:

Release notes:

Delivery Scope (3 Rounds)

  1. Round 1 (Core): ingestion, extraction, query, guardrail, contradiction, stale assumptions.
  2. Round 2 (Surface): connectors + CLI/API/MCP interfaces.
  3. Round 3 (Outer Ring): insights, strategy, ops, docs, operational checks.

Notes for Contributors

  • Keep backward compatibility for API and CLI contracts.
  • Add tests for any behavior change.
  • Prefer evidence-linked decision entries over free-form notes.

Tiếng Việt (Tóm tắt nhanh)

DecisionGraph là hệ thống lưu trí nhớ quyết định kỹ thuật để trả lời nhanh câu hỏi "vì sao code đang như vậy". Bạn có thể ingest từ Git/GitHub/Slack/Jira/JSONL, query theo ngữ nghĩa, chạy guardrail trước refactor, và expose cùng logic qua CLI + API + MCP.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About DecisionGraph

How do I install DecisionGraph?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is DecisionGraph safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is DecisionGraph still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.