Features

Dashboard

Organization-wide analytics at a glance

Open/closed issues and PRs, trend deltas, time-range toggles (7d/30d/90d), project health grid, top risks, throughput charts, and team breakdown, in one view.

Octoboard dashboard with open issue and pull request counts, a throughput trend, project health across repositories and the top risks — Sample data

AI that understands your delivery

Board summaries, bottleneck detection, stakeholder-ready updates. Included on the hosted app; self-host to run against Groq, OpenAI, Anthropic, or Ollama. Only ticket metadata is sent, never file contents or diffs.

Process insights page listing AI written findings about cycle time, throughput and milestone slippage, each tagged by severity — Sample data

Risks

Catch problems before they escalate

Stale PRs (7+ days), stale issues (14+ days), and unassigned work surfaced automatically with direct links to GitHub.

Risks view listing stale pull requests, stale issues and unassigned work, grouped by type with the repository and age of each item — Sample data

Review queue

See which pull requests are waiting on review

Open, non-draft pull requests grouped by review status, oldest first, next to a count of open review requests per reviewer. The Opened by filter splits the queue into People, AI agents, Dependency bots and Other automation.

PR review queue with open pull requests grouped into needs review, changes requested and approved, and a reviewer workload table — Sample data

Projects

Every project in detail

Kanban boards, issues and PR tables, summary strips with open/closed/merged counts, and project-level AI reviews.

Issues table across all tracked repositories showing titles, labels, assignees and state, with a filter bar above — Sample data

CI/CD

Pipeline visibility

GitHub Actions workflow runs with status, duration, and direct links. See failures, deploy times, and bottlenecks. DORA metrics (deployment frequency, lead time, change failure rate, and MTTR) are derived from Actions runs and PR data.

Delivery view with deployment frequency, lead time, change failure rate and time to restore, plus recent workflow runs — Sample data

My Work

One list for what is on your plate

Issues assigned to you, your open pull requests, and the reviews teammates have requested from you, across every tracked repo.

My Work page with sections for assigned issues, my assigned pull requests and review requests — Sample data

Milestones

Know whether the milestone will land

GitHub milestones with open/closed counts and due dates, and a burndown for each.

Milestones page with a progress bar, due date and open and closed issue counts for each milestone — Sample data

AI agents and MCP

A work queue your AI agents can read

Octoboard runs an MCP server with 11 read only tools. ready_for_agent lists open issues an agent could pick up next, agent_activity shows agent and bot pull requests waiting on review. Every tool only returns repositories the API key owner can access.

Set up MCP for your agent

Add Octoboard to Claude Code

claude mcp add --transport http octoboard \
  https://app.octoboard.io/api/mcp \
  --header "Authorization: Bearer YOUR_API_KEY"

Tool	What it returns
ready_for_agent	Open issues an agent could pick up next: unassigned, not blocked, not waiting on refinement. Sized issues come first, then oldest first.
agent_activity	Pull requests from AI coding agents and dependency bots: open ones and how long they have waited for review, plus merges in the period.
get_projects	Tracked repositories with their open issue and pull request counts.
get_summary	Organization wide totals of open and closed issues and pull requests, with trends.
search_issues	Search issues by title, label, assignee, state or repository.
search_pull_requests	Search pull requests by title, state, assignee, reviewer or repository.
get_risks	Current risk items: stale issues, stale pull requests and work with no assignee.
get_blocked_work	Blocked work: pull requests waiting on review, changes requested, stale in progress issues.
get_dora_metrics	DORA metrics: cycle time, lead time, deployment frequency and change failure rate.
get_team_stats	Issues closed and pull requests merged per person in a period.
get_milestones	Milestones with progress, due dates and overdue status.

Leaderboard

See who is shipping the most

Team ranking by issues closed and PRs merged. 7d/30d/90d period selector, sparkline trends, and medal badges for top contributors.

Notifications

Never miss a risk signal

Gmail-style notification center: unread, read, dismissed. Stale PRs, unassigned issues, and configurable thresholds so you see what matters.

Auth

Secure team access

GitHub OAuth with role-based access. Roles come from your GitHub org: owners get admin, members get developer, everyone else gets viewer. Admins can allowlist logins and change a role from Settings.

Plus everything you'd expect

Export: CSV and HTML report exports for stakeholder updates.
Badges: README badges for open issues, PRs, and merged PRs.
Activity Log: In-app log of syncs, project changes, and AI actions.
Dark Mode: Full dark mode matching the app theme.
Fast Setup: Connect your GitHub org and get a live dashboard in under five minutes.
DORA Metrics: Deployment frequency, lead time, change failure rate, and MTTR, derived from Actions runs and PR data.
Multi-Org: Monitor multiple GitHub orgs from one instance.
MCP Integration: Claude Code and AI agents can query your dashboard data directly.

See it in action

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