agentic-msteams-mcp
A self-hosted Microsoft Teams MCP server that serves as an agnostic human-in-the-loop gateway for AI agents.
README
agentic-msteams-mcp
A self-hosted Microsoft Teams MCP server that serves as an agnostic human-in-the-loop gateway for AI agents.
Overview
This project implements a dual-surface architecture to allow AI agents to interact with humans via Microsoft Teams without requiring the agent to have direct Graph API access or complex bot logic.
v0.3.0 Feature: Ask/Reply Workflow
v0.3.0 introduces the ability for agents to pose structured questions to users and track responses asynchronously.
msteams_ask_user: Poses a question to an allowlisted user. Returns arequest_id.msteams_get_user_reply: Checks if a user has replied to a specific request.
Core Architecture
1. The MCP Surface (Stdio)
The primary interface for AI agents. It exposes a strictly limited toolset:
msteams_health_check: Verifies server connectivity.msteams_send_notification: Sends one-way alerts to allowlisted users/channels.msteams_ask_user: Requests information from an allowlisted user (v0.3.0+).msteams_get_user_reply: Checks the state of a requested reply (v0.3.0+).
2. The Teams Surface (HTTP)
A lightweight FastAPI app that acts as the webhook receiver for Microsoft Teams. It is designed to be hosted behind a proxy/gateway.
Security Model (Secure-by-Design)
Closed-World Toolset
The server explicitly denies any arbitrary Graph API operations. All interactions are gated through specific, high-level tools.
Fail-Closed Allowlist
Notifications and Asks are only delivered to IDs defined in the MSTEAMS_ALLOWED_USER_IDS or MSTEAMS_ALLOWED_CHANNEL_IDS environment variables. If an ID is not listed, the request is rejected immediately.
Audit Logging
Every attempt to notify or ask a user is logged to a local audit file (MSTEAMS_AUDIT_LOG_PATH).
- Privacy: Log entries contain metadata and fingerprints but NEVER include the actual message or question body.
- Stability: Uses SHA-256 deterministic fingerprinting for audit evidence.
Dry-Run Mode
By default, MSTEAMS_NOTIFICATION_DRY_RUN=True. In this mode, the server validates all requests and logs them to audit but does not actually call the Microsoft Graph API.
Installation & Configuration
Environment Variables
| Variable | Default | Description |
|---|---|---|
SERVER_HOST |
127.0.0.1 |
Bind address for the HTTP surface. |
SERVER_PORT |
8000 |
Port for the HTTP surface. |
MSTEAMS_ALLOWED_USER_IDS |
"" |
Comma-separated list of allowlisted User IDs (Required). |
MSTEAMS_ALLOWED_CHANNEL_IDS |
"" |
Comma-separated list of allowlisted Channel IDs. |
MSTEAMS_NOTIFICATION_DRY_RUN |
True |
If true, no real Graph API calls are made. |
MSTEAMS_AUDIT_LOG_PATH |
data/audit.log |
Path to the append-only audit log file. |
Running the Server
The server provides two distinct modes:
1. MCP Stdio Mode (for AI Agents)
python -m agentic_msteams_mcp.main --mcp
2. HTTP Surface Mode (for Teams Webhooks)
python -m agentic_msteams_mcp.main --http
Deployment
The server is provided as a Docker image for consistent runtime environments.
docker build -t agentic-msteams-mcp .
docker run -p 8000:8000 -e MSTEAMS_ALLOWED_USER_IDS="user1,user2" agentic-msteams-mcp --http
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。