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What is MCP?

MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.
MCP integrations in Langdock reuse the existing integration architecture with MCP-specific extensions, allowing the same action execution system to work for both traditional integrations and MCP servers.

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Langdock MCP Key Features

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Transport Types

  • STREAMABLE_HTTP: HTTP-based transport with optional streaming support
  • SSE (Server-Sent Events): Real-time communication transport for streaming data

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Authentication Methods

  • No Authentication: For public MCP servers that don’t require identification
  • API Key Authentication: Simplified key-based authentication with automatic header formatting
  • OAuth Authentication: Full OAuth 2.0 with PKCE support for secure authorization flows

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Tool Integration

Automatic Discovery: MCP tools are automatically converted to Langdock actions, meaning confirmation mechanisims and input / output previews are the same.

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Getting Started

For public or API Key MCP Servers you only need to enter the Server URL to connect to the server.

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Additional Resources