business-card-watchdog
Business Card Watchdog is an installable, user-scoped service for processing large batches of business card images from watched folders. It exposes CLI, API, MCP, and watched-folder surfaces for deterministic orchestration and routing to Google Contacts or Odoo.
README
Business Card Watchdog
Business Card Watchdog is an installable, user-scoped service for processing large batches of business card images from watched folders, including SyncThing phone-camera directories.
The design builds on the local business-card-to-contact skill:
- OCR and normalize each card into reviewed contact JSON.
- Generate candidate contact photos.
- Route processed card data and image artifacts to Google Contacts and/or Odoo/Odollo tenants.
- Use deterministic App Intelligence style orchestration for large batches: host-owned state, ledgers, approvals, replay logs, and explicit sink policies.
- Expose CLI, API, MCP, and watched-folder surfaces from one shared core.
Install
From this repo, use uv:
uv venv .venv
uv pip install --python .venv/bin/python -e ".[api,watch,vision,dev]"
Run commands through the venv:
.venv/bin/bcw status --json
For deterministic rectangle/contour hints in the image prefilter, include the vision extra:
uv pip install --python .venv/bin/python -e ".[vision]"
User Config
Config lives under the user scope:
~/.config/business-card-watchdog/config.toml
~/.local/share/business-card-watchdog/
~/.cache/business-card-watchdog/
Create an editable starter config:
.venv/bin/bcw init-config
The SyncThing source can be configured as a normal path or an alias such as:
[paths]
sync_phone = "/mnt/e/SyncThing/Phone Camera"
[watch]
inputs = ["$fsr:sync_phone"]
First Commands
Dry-run a batch:
.venv/bin/bcw process "/mnt/e/SyncThing/Phone Camera" --dry-run
Start polling watch mode:
.venv/bin/bcw watch --once
Serve the API, if fastapi and uvicorn are installed:
.venv/bin/bcw api --host 127.0.0.1 --port 8787
Print the MCP tool manifest:
.venv/bin/bcw mcp-manifest
Inspect runs, jobs, review queue, sinks, and watcher state:
.venv/bin/bcw runs list
.venv/bin/bcw runs summary <run-id>
.venv/bin/bcw runs phase-report <run-id>
.venv/bin/bcw sinks lookup-readiness <job-id> --run-id <run-id> --sink google_contacts --json
.venv/bin/bcw jobs list --run-id <run-id>
.venv/bin/bcw jobs show <job-id> --run-id <run-id>
.venv/bin/bcw reviews list --run-id <run-id>
.venv/bin/bcw sinks check --json
.venv/bin/bcw watch-status --json
Add --json to run, job, and review commands when consuming them from automation.
Operator-Selected Live Pilots
Live lookup, write, and readback are not part of generic continuation or broad batch automation. Use one explicit run_id, job_id, sink, operator, and scope at a time, starting with non-sensitive test card data.
Review the selected target gates before any non-simulated sink call:
.venv/bin/bcw live-selection-requirements --run-id <run-id> --sink google_contacts --no-write
.venv/bin/bcw sinks live-selection-packet <job-id> --run-id <run-id> --sink google_contacts --operator <operator> --scope lookup
.venv/bin/bcw sinks select-live-target <job-id> --run-id <run-id> --sink google_contacts --operator <operator> --scope lookup --safety-confirmation "<operator confirms intended tenant/profile>" --json
.venv/bin/bcw sinks selected-target-audit <job-id> --run-id <run-id> --scope lookup --no-write
.venv/bin/bcw runs live-pilot-status <run-id> --no-write
Use --sink odoo for Odollo/Odoo targets. Start with live-selection-requirements when you need the exact candidate-specific packet and approval commands. If the selection packet reports that replacement requires abandonment, run sinks abandon-live-pilot for the current target before selecting a replacement. Use docs/operations/live-pilot-checklists.md for the full lookup, write, readback, and closeout procedure.
Install a user-scope systemd unit file without enabling or starting it:
.venv/bin/bcw service install --json
systemctl --user daemon-reload
systemctl --user enable business-card-watchdog.service
systemctl --user start business-card-watchdog.service
Remove the generated unit file:
.venv/bin/bcw service uninstall --json
systemctl --user daemon-reload
The service commands write only under the user config directory, normally:
~/.config/systemd/user/business-card-watchdog.service
Current State
This is an initial scaffold. It has deterministic run ledgers, config loading, routing decisions, CLI/API/MCP surfaces, and a subprocess adapter for the existing business-card-to-contact skill. External writes are intentionally explicit and dry-run first.
Operational details live in:
docs/operations/user-scope-install-and-service.mddocs/operations/review-workflow.mddocs/operations/review-workflow-sample-output.mddocs/operations/public-upstream-validation.mddocs/operations/live-pilot-checklists.mddocs/operations/release-readiness.md
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。