广告合作
MCP.so
登录

Multi-server MCP AI Agent

@IsaacDsouza

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

IsaacDsouza

关于 Multi-server MCP AI Agent

Agentic AI platform that automates personal tasks by integrating with services such as Gmail, Notion, Slack, Zoom, and Google Drive via a modular tool marketplace. MCP, LangChain, MongoDB, Python

Multi-server MCP AI Agent 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-with-multiple-servers": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

Multi-server MCP AI Agent 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 Multi-server MCP AI Agent?

An MCP server that automates meetings, emails, and documents via natural language prompts. It integrates with the Google Gmail API and supports multiple MCP servers to orchestrate automation tasks.

How to use Multi-server MCP AI Agent?

Clone the repository, set up a Python virtual environment with uv, install dependencies, create a Google Cloud project and enable the Gmail API, generate OAuth 2.0 credentials, run the authentication process via npx, execute the token generator script, and finally run the application with uv run app.py.

Key features of Multi-server MCP AI Agent

  • Automates meetings, emails, and docs via prompts
  • Integrates multiple MCP servers for orchestration
  • Uses Google OAuth 2.0 for secure Gmail access
  • Local installation with Python virtual environment
  • Global credential storage in ~/.gmail-mcp/

Use cases of Multi-server MCP AI Agent

  • Automating email replies and summarization
  • Scheduling and managing meetings from prompts
  • Generating or updating documents via natural language
  • Chaining multiple MCP servers for complex workflows
  • Streamlining daily office tasks with AI agents

常见问题

1

What are the prerequisites for running this server?

You need Python (with uv installed), Node.js (for npx), and a Google Cloud project with the Gmail API enabled.

2

How do I obtain and set up OAuth credentials?

Create a Google Cloud project, enable the Gmail API, and generate an OAuth 2.0 client ID (desktop or web app). Download the JSON key file and rename it to `gcp-oauth.keys.json`.

3

Where are authentication credentials stored?

After authentication, credentials are saved globally in `~/.gmail-mcp/credentials.json`. The OAuth key file can be placed in the current directory or `~/.gmail-mcp/`.

4

What authentication methods are supported?

Both Desktop app and Web application OAuth credentials are supported. For web apps, add `http://localhost:3000/oauth2callback` to the authorized redirect URIs.

5

What is the token generator for?

The `tokengen.py` script (run with `uv run tokengen.py`) processes the OAuth credentials and generates tokens needed for the main application.

评论

AI 与智能体 分类下的更多 MCP 服务器

Hostinger

hostinger

Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app

148

Ads Uploader — Meta Ads MCP

Ads Uploader

Launch Meta ads with your AI agent. Bulk-create Facebook and Instagram ads, import Google Drive creatives, launch partnership ads with authorized creators, and review saved builds before launch.

strac-mcp-dlp

strac-io

Detect and redact PII, PHI, PCI and secrets — SSNs, credit cards, passports, API keys and cloud credentials — in text and in local files, using the Strac DLP API. Five tools: redact_text, detect_sensitive_data, detect_fi

3

Gemina

Gemina Tech Ltd.

Extract, search and tag any document — invoices, receipts, contracts, forms, or your own templates. 13 tools, one sign-in (OAuth 2.1) or API key, free FileTag tier, data residency in the EU, US, Israel or Asia.

q-ring

I4cTime

Quantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation — CLI + 44 MCP tools.

3
广告合作