The Video Signal

Topic

MCP Inspector

All digests tagged MCP Inspector

JSON Schema 2020-12 and the Contract for Context | ​Ola Hungerford | MCP Release Party - Seattle thumbnail

· 16:08

JSON Schema 2020-12 and the Contract for Context | ​Ola Hungerford | MCP Release Party - Seattle

This talk details the critical evolution of the Model Context Protocol (MCP), emphasizing that the schema acts as the 'contract for context' between tools and LLMs. The major update is the adoption of JSON Schema 2020-12 for tool definitions, replacing previous limited subsets. This upgrade significantly enhances expressiveness in both input and output schemas, allowing developers to use advanced keywords (like `allOf` and conditional constraints) and enabling better pre-LLM validation.

Key takeaways

  1. Schema as Contract

    In MCP, the schema defines the contract for context—how a tool specifies what data it accepts and returns. This is crucial for reliable LLM interaction.

  2. Adoption of JSON Schema 2020-12 2:34

    MCP now conforms to JSON Schema 2020-12, aligning with the default dialect used by OpenAPI 3.1. This was achieved via SEP 2106 and expands support beyond previous limited subsets.

  3. Enhanced Input/Output Schemas 3:55

    Input schemas gain full JSON Schema 2020-12 support, allowing for complex conditional keywords (e.g., `allOf`). Output schemas no longer face the same restrictive limitations as before.

Watch on YouTube Full article

Tour of Agent Protocols: MCP, A2A, AG-UI, A2UI - Mete Atamel - NDC Copenhagen 2026 thumbnail

· 53:45

Tour of Agent Protocols: MCP, A2A, AG-UI, A2UI - Mete Atamel - NDC Copenhagen 2026

The talk provides a deep technical overview of four emerging protocols designed to standardize communication and interaction within complex AI agent systems: Model Context Protocol (MCP), Agent-to-Agent Protocol (A2A), Agent-User Interface Protocol (AG-UI), and Agent-to-UI Protocol (A2UI). These standards address the challenges of building interoperable agents that can access external tools, communicate with other agents across diverse frameworks, and generate rich user interfaces.

Key takeaways

  1. MCP Standardizes Tool/Context Access 18:03

    MCP standardizes how Large Language Models (LLMs) access external functions (tools) and data (resources). Instead of one-to-one integrations, tools are wrapped into MCP servers, which can be accessed by an AI application via an MCP client. This architecture supports local (Standard IO) or remote (streamable HTTP transport) deployments.

  2. A2A Enables Inter-Agent Communication 23:50

    A2A is an open protocol defining how agents running on different frameworks communicate. Agents expose their capabilities via a JSON metadata file called the 'agent card,' which details skills (functions), contact methods, and authentication schemes.

  3. AG-UI Standardizes Agent State Streaming 29:40

    AG-UI is an event-based protocol designed to standardize how agent backends stream state updates to frontends, connecting the AI logic layer to the user interface.

  4. A2UI Standardizes Generative UI Output 32:30

    A2UI is a generative protocol that standardizes how agents generate functional User Interface (UI) components (using JSON structures), moving beyond simple text or data output. It defines core messages like `create surface`, `update components`, and `update data model`.

Watch on YouTube Full article