archflow-hub 0.2.4

Context Hub MCP Server - Jira + GitHub + Draw.io unified intelligence

ArchFlow

Jira + GitHub + Draw.io — one MCP server, one question

Install · What You Can Do · Commands · Configuration · Architecture · Contributing · 한국어

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What is ArchFlow?

ArchFlow is an MCP (Model Context Protocol) server that connects Jira, GitHub, and Draw.io diagrams to your AI coding assistant. Ask about sprint progress, trace issues to code, or explore system architecture — all in one conversation, without switching tabs.

You: "Where's the code for KAN-42?"

ArchFlow:
  Jira   → KAN-42: "Add OAuth2 login" (In Progress, @alice)
  GitHub → PR #87 "feat: oauth2 login flow" (src/auth/oauth.ts)
  Draw.io → Auth Service → connected to API Gateway, User DB

Who is this for?

Role	Example
CEO / PM	"What's the sprint progress?" · "Weekly team report"
New team member	"Explain our system architecture" · "What should I look at first?"
Developer	"Where's the code for KAN-123?" · "Which PRs are related to auth?"

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Install

Prerequisites

• Python 3.11+ — download
• Claude Code — must be installed and working
• Jira Cloud account (required) — GitHub and Google Drive are optional

Quick Start (2 commands)

# 1. Install the package (pick one)
pip install archflow-hub        # classic
# or
uv pip install archflow-hub    # faster alternative
# or
pipx install archflow-hub      # isolated global install

# 2. Interactive setup — validates tokens, generates config, registers MCP, installs slash commands
archflow init

archflow init walks you through everything interactively:

Jira URL           → https://your-team.atlassian.net
Jira email         → [e-mail]
Jira API token     → ********  (validated automatically)
Jira project key   → KAN
Jira board ID      → 1
GitHub token       → ********  (optional, Enter to skip)
Google Drive       → (optional, Enter to skip)

After completion, restart Claude Code and try /archflow-status or /archflow-onboard.

Health Check

archflow doctor    # verify all connections

Install Methods

Method	Description	When to use
pip install archflow-hub	Classic pip install	Default option if you don't use uv
uv pip install archflow-hub	Install via uv (10-100x faster)	If you have uv installed
pipx install archflow-hub	Isolated global install	CLI tools without polluting global env
uvx archflow-hub	Run without installing (like npx)	Used internally by Claude Code to start the MCP server

After archflow init, Claude Code automatically runs the MCP server via uvx — no additional setup needed.

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What You Can Do

For everyone

Ask this	ArchFlow does this
"How's the sprint going?"	Pulls active sprint from Jira, groups by status, shows % done
"Find everything about Redis"	Searches Jira issues + GitHub code + diagram nodes at once
"What connects to Auth Service?"	Parses Draw.io diagram, shows inbound/outbound connections

For developers

Ask this	ArchFlow does this
"Where's the code for KAN-42?"	Traces Jira issue → GitHub PRs → code files → architecture nodes
"Show me open PRs for auth"	Searches GitHub PRs by keyword, branch, or linked Jira key
"What did the team ship this week?"	Aggregates commits, PRs, and Jira transitions into one report

For managers / new members

Ask this	ArchFlow does this
"Weekly team report"	Cross-source activity: who did what, what moved, what's blocked
"I just joined — give me context"	Sprint overview + architecture + repo structure + key issues
"How far is the auth epic?"	Epic children with completion %, broken down by status

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Slash Commands

These work in Claude Code after install:

Command	What it does
/archflow-status	Sprint progress, issue status, component completion
/archflow-trace	Issue → PR → code → architecture tracing
/archflow-arch	Architecture diagram queries and connections
/archflow-onboard	Full project context for new team members
/archflow-report	Weekly team activity report
/archflow-search	Unified search across all sources

You can also ask naturally without slash commands — ArchFlow's 23 MCP tools are available to Claude directly.

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MCP Tools (23)

Under the hood, ArchFlow exposes 23 tools via the Model Context Protocol:

Group	Count	Tools
Jira	7	get_issue, sprint_status, search, user_workload, component_status, recent_activity, epic_progress
GitHub	6	get_pr, list_prs, pr_for_issue, recent_commits, search_code, repo_overview
Draw.io	4	list_diagrams, get_diagram, search_nodes, node_connections
Cross-Source	5	trace_issue, trace_component, project_overview, team_activity, onboarding_context
Search	1	search (unified across all sources)

All tools are prefixed with archflow_ (e.g., archflow_jira_get_issue).

Source requirements

Tool group	Jira	GitHub	Draw.io
Jira tools	Required	—	—
GitHub tools	—	Required	—
Draw.io tools	—	—	Required
Cross-Source	Required	Optional	Optional
Unified Search	Optional	Optional	Optional

If a source is not configured, those tools return a "not configured" message instead of crashing.

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Configuration

Config file

Generated by archflow init at ~/.archflow/config.yml. Edit anytime:

jira:
  url: "https://your-team.atlassian.net"
  projects: ["KAN"]
  board_id: "1"

github:
  repos: ["your-org/your-repo"]
  default_branch: "main"

gdrive:
  folder_id: "1AbCdEfG..."
  cache_ttl_minutes: 30

API Tokens

archflow init prompts for these interactively. For reference:

Jira API Token (2 min)

1. Go to https://id.atlassian.com/manage-profile/security/api-tokens
2. Click "Create API token" → enter label (e.g., archflow)
3. Copy token → paste into archflow init

GitHub Personal Access Token (2 min, optional)

1. Go to https://github.com/settings/tokens?type=beta
2. Generate new token → name it archflow
3. Permissions → Repository: Contents, Pull requests, Metadata (all Read-only)
4. Copy token → paste into archflow init

Google Drive OAuth (10 min, optional — only for Draw.io)

1. Google Cloud Console → create/select project
2. APIs & Services > Library → enable Google Drive API
3. Credentials → Create OAuth client ID (Desktop app)
4. Copy Client ID and Client Secret
5. Get Refresh Token via OAuth Playground:
   • Settings → "Use your own OAuth credentials" → enter Client ID/Secret
   • Step 1: Select drive.readonly scope → Authorize
   • Step 2: Exchange → copy Refresh token

How to find board_id / folder_id

Jira board_id — open your board, look at the URL:

https://your-team.atlassian.net/jira/software/projects/KAN/boards/1
                                                                  ^

Google Drive folder_id — open the folder, look at the URL:

https://drive.google.com/drive/folders/1AbCdEfGhIjKlMnOpQrStUvWxYz
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Manual install (without archflow init)

pip install archflow-hub   # or: uv pip install archflow-hub

claude mcp add-json --scope user archflow '{
  "type": "stdio",
  "command": "uvx",
  "args": ["archflow-hub"],
  "env": {
    "PYTHONUNBUFFERED": "1",
    "ARCHFLOW_CONFIG_PATH": "~/.archflow/config.yml",
    "JIRA_URL": "https://your-domain.atlassian.net",
    "JIRA_EMAIL": "[e-mail]",
    "JIRA_API_TOKEN": "your-jira-api-token",
    "GITHUB_PERSONAL_ACCESS_TOKEN": "ghp_xxxxxxxxxxxx"
  }
}'

claude mcp add (without -json) does not pass environment variables.

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Architecture

graph TB
    User["Your Question"] --> Server

    subgraph Server["ArchFlow MCP Server"]
        Cache["Cache (TTL)"]
        Matcher["Cross-Source Matcher"]
        JP["Jira Provider"]
        GP["GitHub Provider"]
        DP["Draw.io Provider"]
    end

    JP --> Jira["Jira Cloud API"]
    GP --> GitHub["GitHub API"]
    DP --> GDrive["Google Drive"]

All API responses are cached (default 30 min TTL). Repeated questions cost zero API calls.

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Troubleshooting

archflow doctor    # checks Python, config, APIs, MCP registration

Problem	Solution
Server not showing in Claude Code	Run archflow init again, then restart Claude Code
"Jira not configured"	Check Jira env vars — run archflow init again
"GitHub not configured"	Add GITHUB_PERSONAL_ACCESS_TOKEN — run archflow init again
Draw.io files not found	Check folder_id in config + all 3 Google env vars
Stale data	Restart Claude Code (clears 30 min cache)
GitHub rate limit	Wait a minute — results are cached automatically

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Contributing

Project Structure

src/archflow/
├── server.py              # MCP server + tool registration
├── cli.py                 # CLI: init, doctor, serve
├── cli_init.py            # Setup wizard (tokens + MCP + slash commands)
├── cli_doctor.py          # Connection diagnostics
├── clients/               # API clients (Jira, GitHub, Google Drive)
├── providers/             # Business logic per source
├── core/                  # Config, cache, matcher, models
├── tools/                 # 23 MCP tools
└── skills/                # 6 slash command definitions

Dev Setup

git clone https://github.com/Juhwan01/ArchFlow.git
cd ArchFlow
uv sync --dev
uv run python -m pytest tests/ -v
uv run ruff check src/

Commit Convention

<type>: <description>
Types: feat | fix | refactor | docs | test | chore | perf | ci

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License

MIT — see LICENSE for details.