广告合作
MCP.so
登录

Speaking Bots MCP Server

@Meeting-Baas

代码仓库主页

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

Meeting-Baas

关于 Speaking Bots MCP Server

An MCP server that can send speaking bots inside meetings

#speaking-bots#meeting-bots#ai-assistant

Speaking Bots MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "seo-review-tools": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "SEO_REVIEW_TOOLS_API_KEY",
        "mcp/seo-review-tools"
      ],
      "env": {
        "SEO_REVIEW_TOOLS_API_KEY": "<YOUR_SEO_REVIEW_TOOLS_API_KEY>"
      }
    }
  }
}

Speaking Bots MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Speaking Bots MCP Server?

Deploy AI-powered speaking agents in video meetings using the MeetingBaas API. This open-source MCP server connects LLM-powered voice bots to Google Meet, Zoom, and Microsoft Teams, with customizable personas and real-time audio streaming.

How to use Speaking Bots MCP Server?

Clone the repository, install dependencies, set the required environment variables (BAAS_API_KEY, BAAS_URL), then run locally or deploy to a platform like Docker or fly.io. Use the API endpoints (e.g., POST /bots) via curl or any HTTP client to join meetings as a speaking bot.

Key features of Speaking Bots MCP Server

  • Join meetings as an AI speaking bot
  • Customizable personas and voices
  • Real-time bidirectional audio streaming
  • Minimalist, extensible API design
  • Open source and easy to customize
  • Integrates with MeetingBaas and Pipecat

Use cases of Speaking Bots MCP Server

  • Automate onboarding in virtual meetings with the baas_onboarder persona
  • Add creative role-play characters (e.g., pirate_queen) to team calls
  • Deploy a quantum physicist persona for educational demonstrations
  • Build custom AI assistants for recurring meeting workflows

常见问题

1

What frameworks does Speaking Bots MCP Server use?

It uses Pipecat for building voice and multimodal conversational agents, and the MeetingBaas API for video meeting integration.

2

How do I set up the server?

Clone the repo, install dependencies, set `BAAS_API_KEY` and `BAAS_URL` in your environment, then run locally or deploy (e.g., Docker, fly.io, Vercel).

3

What meeting platforms are supported?

Google Meet, Zoom, and Microsoft Teams are explicitly supported.

4

How do I authenticate API requests?

Include your MeetingBaas API key in the `x-meeting-baas-api-key` header on each request.

5

What are the main API endpoints?

The key endpoints are `POST /bots` (join a meeting), `DELETE /bots/{bot_id}` (remove a bot), and `POST /personas/generate-image` (generate a persona image).

评论

其他 分类下的更多 MCP 服务器

Hindsight

vectorize-io

Hindsight: Agent Memory That Learns

50.4K

MaxKB

1Panel-dev

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

22.0K

DeepMark

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

Glasswarp

Glasswarp

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.

Handl

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

广告合作