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# MCP (Model Context Protocol)

All MCP features: connectors, plugins, and examples

## 📄️ MCP (Model Context Protocol)

MCP is a set of rules that helps AI models communicate and understand context better when working with different apps, tools, or systems.

## 📄️ MCP Connectors

MCP connectors are tools to connect to MCP servers. They provide full MCP protocol support including tools, resources, resource templates, and prompts.

## 📄️ MCP server exposition

Otoroshi can expose tool functions and MCP connectors as MCP servers using three different transport protocols: HTTP, SSE, and WebSocket. This allows external MCP clients to connect to your Otoroshi-managed tools.

## 📄️ Tutorial: OAuth-protected MCP server with geocoding tools

In this tutorial, you will build a complete, production-ready MCP server that exposes geocoding tools from the French national geocoding API (Géoplateforme IGN). The server will be protected with OAuth 2.0 using the built-in enforceOAuth option of the MCP plugin and will expose the standard .well-known/oauth-protected-resource discovery document via the dedicated McpProtectedResourceMetadata plugin.

## 🗃️ MCP Connectors examples

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