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MCP verified Apache-2.0 Self-run

Ai Scrum Helper

mcp-apetcu-ai-scrum-helper · by apetcu

A simple experiment to simplify day to day operations of scrum masters

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Install

$ agentstack add mcp-apetcu-ai-scrum-helper

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/mcp-apetcu-ai-scrum-helper)

Reliability & compatibility

✓ Security review passed
0 installs to date
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○ 7mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Scrum Master AI Helper

Experimental. A markdown-based, assistant-agnostic AI agent that uses MCP (Jira and Confluence) to automate sprint health checks, onboarding, and stakeholder summaries. No code—only natural language instructions and playbooks.

What it does

  • Sprint health (/health): Stale tickets (no movement in 3+ days), scope creep, unpointed work, and recommendations.
  • Sprint summary (/summary): Stakeholder-ready review of completed work, grouped by theme, with business-value language.
  • Onboarding (/onboard): Discovers Jira/Confluence config (project, sprint, custom fields, team norms) and writes scrum-master/PROJECT_CONTEXT.md.

Quick start

  1. MCP: Use an MCP server that can talk to Jira (and optionally Confluence). For example, the Atlassian HTTP MCP at https://mcp.atlassian.com/v1/mcp.
  2. Assistant: Use Cursor or another AI assistant that can run MCP tools and follow the playbooks.
  3. Run /onboard once to create PROJECT_CONTEXT.md, then use /health and /summary as needed.

Commands

| Command | Purpose | |------------|---------| | /onboard | Discover and save Jira/Confluence config to scrum-master/PROJECT_CONTEXT.md. Run first or when project/sprint changes. | | /health | Analyze active sprint: stale tickets, scope creep, unpointed work; output markdown report and recommendations. | | /summary | Generate sprint review summary (Done work, themes, metrics) for stakeholders. |

Layout

  • scrum-master/playbooks/ – Step-by-step instructions (onboard, sprint-health, review-summary) that the AI follows.
  • scrum-master/AGENTS.md – Persona and behavior (proactive, business language, actionable).
  • scrum-master/PROJECT_CONTEXT.md – Created by /onboard; gitignored. Source of truth for project key, sprint, custom fields, team norms.
  • .claude/commands/ and .cursor/rules/ – Wire slash commands and rules to the playbooks.

Configuration

  • Cursor: Rules in .cursor/rules/index.mdc point to PROJECT_CONTEXT.md and the playbooks.
  • Claude Code: Slash commands in .claude/commands/ invoke the same playbooks.
  • Other assistants: Use CLAUDE.md, scrum-master/playbooks/, and scrum-master/AGENTS.md; config lives in PROJECT_CONTEXT.md.

Extending

  • New command: Add a playbook under scrum-master/playbooks/, then add a command/rule that references it.
  • New tools: Playbooks are written in semantic terms (“fetch sprint issues”, “search Confluence”); adapt them to whatever MCP or API your Jira/Confluence integration exposes.

Troubleshooting

  • No active sprint / PROJECT_CONTEXT missing: Run /onboard. Ensure an active sprint and board exist in Jira.
  • Confluence empty: Optional. You can fill team norms manually in PROJECT_CONTEXT.md.
  • Custom fields: Playbooks assume common fields (e.g. story points, sprint). Map your field IDs in PROJECT_CONTEXT.md; /onboard tries to discover them.

Disclaimer

This is a personal, open-source project built independently. It does not include or rely on any confidential or proprietary information.

License

MIT. See [LICENSE](LICENSE.md) or repository root for full text.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.