| name | microsoft-teams-mcp-connector |
| description | MCP connector for Microsoft Teams – enables AI-powered team collaboration, channel management, and meeting coordination through Claude |
| license | Proprietary/API |
| tags | ["product","communication","mcp","teams","microsoft"] |
| difficulty | intermediate |
| time_to_master | 4-8 weeks |
| version | 1.0.0 |
Microsoft Teams MCP Connector
Overview
This skill enables Claude to interact with Microsoft Teams through the Model Context Protocol (MCP). It provides a bridge between Claude's AI capabilities and Microsoft Teams's Microsoft Graph API, allowing natural language control of Microsoft Teams operations, intelligent automation, and AI-powered assistance for Microsoft Teams workflows.
When to Use This Skill
- Channel creation and message posting
- Meeting scheduling and agenda creation
- Message summarization across channels
- Adaptive card and bot message creation
- Team membership and permission management
Architecture
┌─────────────┐ ┌─────────────────┐ ┌──────────────────┐
│ Claude │────▶│ MCP Server │────▶│ Microsoft Teams │
│ (Client) │◀────│ (TypeScript) │◀────│ (Microsoft Grap)│
└─────────────┘ └─────────────────┘ └──────────────────┘
Core Concepts
MCP Server Setup
The connector implements an MCP server that exposes Microsoft Teams operations as tools Claude can invoke. The server translates natural language intentions into Microsoft Graph API calls.
Key Endpoints/Interfaces
/v1.0/teams, /v1.0/teams/:id/channels, /v1.0/me/chats, /v1.0/me/onlineMeetings
Implementation
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";
const server = new McpServer({
name: "microsoft-teams-mcp-connector",
version: "1.0.0",
});
server.tool(
"list_resources",
"List and query Microsoft Teams resources with optional filters",
{
query: z.string().optional().describe("Search query or filter"),
limit: z.number().optional().describe("Max results to return"),
},
async ({ query, limit }) => {
const response = await fetch(`${BASE_URL}/v1.0/teams`, {
headers: { "Authorization": `Bearer ${API_KEY}` },
});
const data = await response.json();
{
: [{ : , : .(data, , ) }],
};
}
);
server.(
,
,
{
: z.().(),
: z.({}).().().(),
},
({ name, config }) => {
response = (, {
: ,
: {
: ,
: ,
},
: .({ name, ...config }),
});
data = response.();
{
: [{ : , : }],
};
}
);
server.(
,
,
{
: z.().(),
: z.().().(),
},
({ , timeframe }) => {
response = (, {
: { : },
});
data = response.();
{
: [{ : , : .(data, , ) }],
};
}
);
transport = ();
server.(transport);
Claude Desktop Configuration
{
"mcpServers": {
"microsoft-teams-mcp-connector": {
"command": "node",
"args": ["path/to/microsoft-teams-mcp-connector/index.js"],
"env": {
"MICROSOFT_TEAMS_API_KEY": "your-api-key",
"MICROSOFT_TEAMS_BASE_URL": "https://your-instance-url"
}
}
}
}
Best Practices
- Authentication: Store API keys securely using environment variables; never hardcode credentials
- Rate Limiting: Implement request throttling to respect Microsoft Teams API rate limits
- Error Handling: Provide clear, actionable error messages for common failure scenarios
- Pagination: Handle paginated responses for large datasets efficiently
- Caching: Cache frequently accessed read-only data to reduce API calls
- Security: Validate all inputs before passing to the Microsoft Teams API; sanitize outputs
- Logging: Log all API interactions for debugging and audit purposes
Example Prompts
"Schedule a team standup for every weekday at 9am and post an agenda template to the channel"
Security Considerations
- All API credentials must be stored as environment variables
- Implement input validation and sanitization for all tool parameters
- Use HTTPS for all API communications
- Follow the principle of least privilege for API token permissions
- Audit log all write operations for compliance tracking
Resources
Changelog
| Version | Date | Changes |
|---|
| 1.0.0 | 2026-04-01 | Initial MCP connector skill |
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