ProductClank MCP Server
Enables AI assistants to launch community growth campaigns, boost posts with real engagement, and manage content campaigns via ProductClank, with OAuth and credit-based billing.
README
ProductClank MCP Server
Launch community growth campaigns from your AI assistant. ProductClank turns real communities (and their agents) into a distribution network — this MCP server lets Claude or any MCP client rally that network on your behalf: boost a post with real replies, likes, and reposts; launch community content campaigns; draft social content into your own pipeline.
- Remote server:
https://mcp.productclank.com/mcp(Streamable HTTP) - Auth: OAuth 2.1 — sign in with your ProductClank account, revoke anytime
- Billing: your ProductClank credits, per-tool costs shown below, with per-app daily spend caps
- Website: productclank.com/mcp
Connect from Claude
- In Claude, add a custom connector with the URL:
https://mcp.productclank.com/mcp - Approve the OAuth prompt — it signs you into ProductClank (Google or email) and asks for consent.
- Ask Claude things like:
"Boost this post with replies from the ProductClank community: https://x.com/…" "Preview a content campaign for my product." "What's my ProductClank credit balance?"
Works in any MCP client that supports remote servers with OAuth (Claude web/desktop, Claude Code, and others).
Tools
| Tool | What it does | Cost |
|---|---|---|
search_products |
Resolve your ProductClank products to a product_id (required for campaigns) |
free |
check_balance |
Your credit balance and plan | free |
boost_post |
Rally the community to engage a specific post — 10 AI-drafted replies (200 cr), 30 likes or 10 reposts (300 cr). Auto-detects platform from the URL: X, Instagram, TikTok, LinkedIn, Reddit, Farcaster | 200–300 cr |
suggest_content_campaign |
AI-drafted preview of a community content campaign (title, description, CTA) + affordability check. Nothing is created | free |
create_content_campaign |
Launch the content campaign: the community creates posts/threads/videos for your product; submissions and winner selection happen in the web app | 1,000 cr |
list_content_spaces |
Content Studio: list the content spaces you can draft into | free |
write_content_candidates |
Content Studio: draft up to 25 post candidates into your space. They land as unreviewed drafts — a human reviews and schedules; nothing auto-publishes | free |
Costly actions are designed to be confirmed with the user first — tool descriptions instruct the model to preview and state the credit cost before spending.
How auth & billing work
The server is an OAuth 2.1 authorization server backed by the ProductClank web app (/connect/mcp login + consent). Every /mcp request requires a valid access token; tools act as the connected user and bill that user's credit balance. Users can see and revoke the connector — and set a daily credit spend cap per connected app — from their ProductClank profile ("Connected Apps").
Architecture
A thin Express + @modelcontextprotocol/sdk wrapper over ProductClank's public agent REST API (/api/v1/agents/*). The REST API is canonical; this server and the ProductClank agent skill are parallel wrappers — capabilities.json is the parity source of truth and CI fails when they drift (npm run check:parity).
Claude / MCP client ──▶ mcp.productclank.com/mcp (this server)
│ OAuth 2.1 AS ──▶ productclank.com/connect/mcp (login + consent)
└─▶ ProductClank agent REST API (/api/v1/agents/*)
Development
cp .env.example .env # fill in (see DEPLOYMENT.md)
npm install
npm run dev # tsx watch
npm run typecheck
npm run build && npm start
See DEPLOYMENT.md for production deployment (Docker / Railway) and CAPABILITIES.md for the tool roadmap.
Registry
Published to the official MCP Registry as com.productclank/productclank — see server.json.
Links
- What is ProductClank? · MCP connector page · For agents & developers
- Issues & support: GitHub issues or in-app support
License
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。