Cc Connect Ai Bridge

作者 reason-machines2384a003145a无许可证83 个星标收录于 2026年10月8日更新于 2026年10月8日仓库3个月前更新

Bridge local AI coding agents (Claude Code, Cursor, Gemini CLI, Codex) to messaging platforms (Feishu, Telegram, Slack, Discord, DingTalk, WeChat Work, LINE) without a public IP.

仅含说明DevOps & CloudAI & Agents
AI 生成的概览

将本地 AI 编程代理桥接到 Telegram、Slack、飞书等消息平台，让你可以远程与其对话。

功能
该技能说明如何安装、配置和运行 cc-connect，这是一个把本地运行的 AI 编程代理（Claude Code、Codex、Cursor、Gemini CLI 等）连接到 Telegram、飞书、Slack、Discord、钉钉、企业微信、LINE、QQ 等消息平台的工具。内容包含配置文件示例、平台与代理类型对照表、聊天命令、定时任务、语音与多模态设置以及故障排查指引。产出是配置与使用说明，而非代码或脚本。
适用场景
当你希望通过消息应用控制或与本地 AI 编程代理对话、搭建团队共享机器人，或在聊天中安排周期性代理任务时使用。为特定平台配置 cc-connect，或排查机器人无响应问题时也适用。
运行要求
需要 cc-connect 工具（可通过 npm、预编译二进制文件安装，或用 Go 1.22+ 从源码构建）、本地已安装受支持的 AI 编程代理，以及机器人令牌或应用 ID 与密钥等平台凭据。部分平台和语音功能还需要额外的 API 密钥和网络访问。该技能本身不附带脚本，仅为说明文档。

CC-Connect AI Bridge

Skill by ara.so — Daily 2026 Skills collection.

CC-Connect bridges locally running AI coding agents (Claude Code, Codex, Cursor Agent, Gemini CLI, Qoder CLI, OpenCode, iFlow CLI) to messaging platforms you already use. You can chat with your local agent from Telegram, Feishu, Slack, Discord, DingTalk, WeChat Work, LINE, or QQ — no public IP required for most platforms.

Installation

Via npm (recommended)

bash
# Stablenpm install -g cc-connect
# Beta (includes personal WeChat / Weixin ilink and other beta features)npm install -g cc-connect@beta

Via binary

bash
# Linux amd64curl -L -o cc-connect https://github.com/chenhg5/cc-connect/releases/latest/download/cc-connect-linux-amd64chmod +x cc-connectsudo mv cc-connect /usr/local/bin/
# macOS arm64curl -L -o cc-connect https://github.com/chenhg5/cc-connect/releases/latest/download/cc-connect-darwin-arm64chmod +x cc-connectsudo mv cc-connect /usr/local/bin/

Build from source (Go 1.22+)

bash
git clone https://github.com/chenhg5/cc-connect.gitcd cc-connectmake build# binary appears at ./bin/cc-connect

Self-update

bash
cc-connect update          # stablecc-connect update --pre    # beta / pre-release

Quick AI-assisted Setup

Send this prompt to Claude Code or any AI coding agent — it will install and configure cc-connect automatically:

Follow https://raw.githubusercontent.com/chenhg5/cc-connect/refs/heads/main/INSTALL.md to install and configure cc-connect.

Configuration

bash
mkdir -p ~/.cc-connectcp config.example.toml ~/.cc-connect/config.toml

Minimal config.toml — Claude Code + Telegram

toml
[project.my-project]name        = "my-project"work_dir    = "/home/user/myproject"data_dir    = "/home/user/.cc-connect/data"admin_from  = "123456789"          # Your Telegram user ID
[project.my-project.agent]type = "claude-code"               # claude-code | codex | cursor | gemini | qoder | opencode | iflow
[project.my-project.platform]type  = "telegram"token = "$TELEGRAM_BOT_TOKEN"      # set via env or paste value

Multi-project config

toml
# Project 1: Claude on Telegram[project.dev]name     = "dev"work_dir = "/home/user/project-a"data_dir = "/home/user/.cc-connect/data/dev"
[project.dev.agent]type = "claude-code"
[project.dev.platform]type  = "telegram"token = "$TELEGRAM_BOT_TOKEN"
# Project 2: Gemini on Feishu[project.research]name     = "research"work_dir = "/home/user/project-b"data_dir = "/home/user/.cc-connect/data/research"
[project.research.agent]type = "gemini"
[project.research.platform]type           = "feishu"app_id         = "$FEISHU_APP_ID"app_secret     = "$FEISHU_APP_SECRET"verification_token = "$FEISHU_VERIFICATION_TOKEN"

All supported platform types

type valuePlatformPublic IP needed?
telegramTelegramNo (long polling)
feishuFeishu / LarkNo (WebSocket)
dingtalkDingTalkNo (Stream)
slackSlackNo (Socket Mode)
discordDiscordNo (Gateway)
wecomWeChat WorkNo (WS) / Yes (Webhook)
lineLINEYes (Webhook)
qqQQ via NapCat/OneBotNo
qqbotQQ Bot OfficialNo
weixinPersonal WeChat (beta)No (ilink long polling)

All supported agent types

type valueAgent
claude-codeClaude Code (Anthropic)
codexCodex (OpenAI)
cursorCursor Agent
geminiGemini CLI (Google)
qoderQoder CLI
opencodeOpenCode / Crush
iflowiFlow CLI

Platform-specific configuration

Telegram

toml
[project.mybot.platform]type  = "telegram"token = "$TELEGRAM_BOT_TOKEN"# Get token from @BotFather on Telegram# No public IP required — uses long polling

Feishu / Lark

toml
[project.mybot.platform]type               = "feishu"app_id             = "$FEISHU_APP_ID"app_secret         = "$FEISHU_APP_SECRET"verification_token = "$FEISHU_VERIFICATION_TOKEN"# Uses WebSocket — no public IP needed# Set up at https://open.feishu.cn/

Slack

toml
[project.mybot.platform]type              = "slack"bot_token         = "$SLACK_BOT_TOKEN"app_token         = "$SLACK_APP_TOKEN"# app_token must start with xapp- (Socket Mode)# Enable Socket Mode in your Slack app settings

Discord

toml
[project.mybot.platform]type  = "discord"token = "$DISCORD_BOT_TOKEN"# Uses Discord Gateway — no public IP needed

DingTalk

toml
[project.mybot.platform]type       = "dingtalk"client_id  = "$DINGTALK_CLIENT_ID"client_secret = "$DINGTALK_CLIENT_SECRET"# Uses DingTalk Stream — no public IP needed

WeChat Work (WeCom)

toml
[project.mybot.platform]type           = "wecom"corp_id        = "$WECOM_CORP_ID"agent_id       = "$WECOM_AGENT_ID"secret         = "$WECOM_SECRET"connection_type = "websocket"   # websocket (no public IP) or webhook

Personal WeChat (beta only)

bash
# Install beta build firstnpm install -g cc-connect@beta
# Scan QR code to log incc-connect weixin setup
toml
[project.mybot.platform]type = "weixin"# Auth state is stored after QR scan — no public IP needed

Running cc-connect

bash
# Default config location: ~/.cc-connect/config.tomlcc-connect
# Custom config pathcc-connect --config /path/to/config.toml
# Run specific project onlycc-connect --project my-project

Chat Commands (sent in the messaging platform)

CommandDescription
/helpShow all available commands
/model <name>Switch AI model (e.g. /model claude-opus-4-5)
/mode <mode>Change permission mode (e.g. /mode auto)
/reasoning <level>Tune reasoning intensity
/dir <path>Switch working directory for next session
/dir <number>Jump to a directory from history
/dir -Toggle to previous directory
/dir resetRestore configured work_dir
/cd <path>Alias for /dir
/memoryRead or write the agent's memory/instruction file
/shell <cmd>Run a shell command (admin only)
/sessionManage sessions (list, continue, new)
/continueContinue from last session (forks to avoid inheriting broken state)
/cron <spec> <task>Schedule a recurring task
/stopStop the currently running agent

Slash command examples (in chat)

# Ask the agent to review a PRReview the changes in branch feature/auth and summarize the risks.
# Switch to a different model/model gemini-2.0-flash
# Change working directory/dir /home/user/other-project
# Schedule a daily summary/cron 0 6 * * * Summarize GitHub trending Go repos and post here
# Read agent memory/memory
# Update agent memory/memory Always prefer table-driven tests in Go. Use context.Context for cancellation.

Multi-Agent Relay (group chat orchestration)

Bind multiple bots in one group chat so they communicate with each other:

toml
# Bot 1: Claude[project.claude-bot]name     = "claude-bot"work_dir = "/home/user/project"data_dir = "/home/user/.cc-connect/data/claude"
[project.claude-bot.agent]type = "claude-code"
[project.claude-bot.platform]type  = "telegram"token = "$TELEGRAM_CLAUDE_BOT_TOKEN"
# Bot 2: Gemini (same group)[project.gemini-bot]name     = "gemini-bot"work_dir = "/home/user/project"data_dir = "/home/user/.cc-connect/data/gemini"
[project.gemini-bot.agent]type = "gemini"
[project.gemini-bot.platform]type  = "telegram"token = "$TELEGRAM_GEMINI_BOT_TOKEN"

Add both bots to the same Telegram group. Mention them by name and they will pick up and respond to each other's output.

Voice and Multimodal

For platforms that support voice (Telegram, Feishu, DingTalk), enable speech in config:

toml
[speech]provider = "openai"           # openai | azure | googleapi_key  = "$OPENAI_API_KEY"
[speech.stt]model = "whisper-1"
[speech.tts]model = "tts-1"voice = "alloy"

Send a voice message in Telegram → cc-connect transcribes it → forwards text to the agent → optionally speaks the response back.

For images/screenshots: just attach the image in chat. cc-connect forwards it to multimodal-capable agents.

Cron Scheduling

toml
# In config.toml, per-project cron settings[project.mybot.cron]timeout = "30m"          # max runtime per jobfresh_session = true     # start a new session for each run

From chat:

# Every weekday at 9am, run a standup summary/cron 0 9 * * 1-5 Summarize open PRs and blockers in this repo
# Every hour, check for new issues labeled "urgent"/cron 0 * * * * Check for new GitHub issues labeled urgent and notify me

Admin configuration

toml
[project.mybot]admin_from = "alice,123456789"   # comma-separated usernames or IDs

Admins can use /shell, /dir, and other privileged commands. Non-admins cannot.

Directory structure

~/.cc-connect/├── config.toml                          # main config└── data/    └── projects/        └── my-project.state.json        # persisted dir override, session state

Common patterns

Pattern 1: Mobile-first AI development

Install cc-connect on your dev machine, connect it to Telegram. From your phone:

  1. Send a task description as a message
  2. Agent runs on your machine
  3. Streamed response appears in chat
  4. Reply to continue the conversation

Pattern 2: Team shared AI bot (Slack/Feishu)

One cc-connect instance per project, shared in a team channel. Team members can ask questions, trigger code reviews, or run analyses — all without terminal access.

Pattern 3: Scheduled reports

/cron 0 8 * * 1 Generate a weekly summary of commits and open issues, format as markdown

Pattern 4: Multi-project routing

Run multiple projects in one cc-connect process, each bot handles a different repo or concern.

Troubleshooting

Bot not responding

  1. Check that cc-connect is running: ps aux | grep cc-connect
  2. Verify the platform token/credentials in config
  3. For Telegram: ensure the bot token is valid (/start in BotFather chat)
  4. For Feishu: check WebSocket connection in Feishu Open Platform console

Agent not found

bash
# Verify agent is installed and in PATHwhich claude     # for claude-codewhich gemini     # for geminiwhich codex      # for codex

Set explicit path in config if needed:

toml
[project.mybot.agent]type = "claude-code"bin  = "/usr/local/bin/claude"

Session inherits broken state

Use /continue which forks the session, or start fresh:

/session new

Personal WeChat not available

You need the beta build:

bash
npm install -g cc-connect@betacc-connect weixin setup   # scan QR in terminal

Context too long / auto-compress

Enable in config:

toml
[project.mybot.agent]auto_compress        = truecompress_threshold   = 80000   # tokens before compression kicks in

Config not found

Default path is ~/.cc-connect/config.toml. Pass explicitly:

bash
cc-connect --config /custom/path/config.toml

Check version

bash
cc-connect --version

Environment variables reference

VariableUsed for
TELEGRAM_BOT_TOKENTelegram bot token
FEISHU_APP_IDFeishu app ID
FEISHU_APP_SECRETFeishu app secret
FEISHU_VERIFICATION_TOKENFeishu verification token
SLACK_BOT_TOKENSlack bot OAuth token (xoxb-...)
SLACK_APP_TOKENSlack app-level token (xapp-...)
DISCORD_BOT_TOKENDiscord bot token
DINGTALK_CLIENT_IDDingTalk app client ID
DINGTALK_CLIENT_SECRETDingTalk app client secret
WECOM_CORP_IDWeChat Work corp ID
WECOM_AGENT_IDWeChat Work agent ID
WECOM_SECRETWeChat Work app secret
OPENAI_API_KEYOpenAI API key (for Codex agent or STT/TTS)

Values in config.toml can reference env vars using $VAR_NAME syntax.

Platform setup guides

  • Feishu/Lark: docs/feishu.md
  • DingTalk: docs/dingtalk.md
  • Telegram: docs/telegram.md
  • Slack: docs/slack.md
  • Discord: docs/discord.md
  • WeChat Work: docs/wecom.md
  • Personal WeChat (beta): docs/weixin.md
  • QQ / QQ Bot: docs/qq.md

来源与署名

来源：reason-machines/trending-skills位于skills/cc-connect-ai-bridge提交2384a00

许可证： 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

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