laborany
基于 Claude Code 的桌面 AI 工作力平台 — 支持飞书/QQ 远程调度、技能创建、定时任务。OpenClaw 的桌面实现,零代码养好你的 AI 🦞 Desktop AI workforce platform built on Claude Code. Feishu/QQ bot integration, skill c...
Access Telegram data via MCP using the telebiz-tt browser client. Lists chats, reads messages, searches, manages folders, and sends messages through an authenticated Telegram session.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install acastellana/telebiz-mcp-skillExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
MCP integration for Telegram via telebiz-tt browser client.
batchAddToFolder with multiple chatIds (known bug). Loop addChatToFolder sequentially.linkEntityToChat is unstable in our tests. We observed company failing with Validation error, and at one point organization succeeding — but later organization also failed. Treat linkEntityToChat as unreliable until upstream clarifies schema/feature flags.┌──────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Clawdbot │────▶│ MCP Server │────▶│ WebSocket Relay │
│ (mcporter) │ │ (stdio) │ │ (port 9716) │
└──────────────┘ └──────────────────┘ └────────┬────────┘
│
▼
┌─────────────────┐
│ Browser │
│ (telebiz-tt) │
│ [executor] │
└─────────────────┘
npm install -g @telebiz/telebiz-mcp
Go to https://telebiz.io and login with your Telegram account.
cd ~/clawd/skills/telebiz-mcp
./start-http.sh
This starts a persistent server that:
In telebiz.io: **Settings → Agent...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# telebiz-mcp
MCP integration for Telegram via telebiz-tt browser client.
## Quick Rules (read this first)
- **Rate limits are strict**: max 20 calls/request, 30 calls/min, 500ms between calls, heavy ops 1s.
- For adding many chats to folders: **do NOT use `batchAddToFolder` with multiple chatIds** (known bug). Loop `addChatToFolder` sequentially.
- For CRM linking: `linkEntityToChat` is **unstable** in our tests. We observed `company` failing with Validation error, and at one point `organization` succeeding — but later `organization` also failed. Treat `linkEntityToChat` as unreliable until upstream clarifies schema/feature flags.
- Prefer reversible operations and clean up test artifacts (folders, groups) immediately.
## Architecture
```
┌──────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Clawdbot │────▶│ MCP Server │────▶│ WebSocket Relay │
│ (mcporter) │ │ (stdio) │ │ (port 9716) │
└──────────────┘ └──────────────────┘ └────────┬────────┘
│
▼
┌─────────────────┐
│ Browser │
│ (telebiz-tt) │
│ [executor] │
└─────────────────┘
```
## Quick Setup
### Prerequisites
- Node.js 18+
- Telegram account
### 1. Install telebiz-mcp
```bash
npm install -g @telebiz/telebiz-mcp
```
### 2. Open Telebiz in browser
Go to **https://telebiz.io** and login with your Telegram account.
### 3. Start the HTTP server
```bash
cd ~/clawd/skills/telebiz-mcp
./start-http.sh
```
This starts a persistent server that:
- Runs telebiz-mcp internally
- Keeps browser connection alive
- Exposes HTTP API on port 9718
### 4. Enable MCP in Telebiz
In telebiz.io: **Settings → Agent...基于 Claude Code 的桌面 AI 工作力平台 — 支持飞书/QQ 远程调度、技能创建、定时任务。OpenClaw 的桌面实现,零代码养好你的 AI 🦞 Desktop AI workforce platform built on Claude Code. Feishu/QQ bot integration, skill c...
Reusable OpenClaw skill for remote Linux deployment with MiniMax M2.1 and Telegram bot setup
Bots learn, human earns, curated open claw playbook list and skill list for life long learners at https://botlearn.ai
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