2 Repos
Mechanisms for providing structured data access for injection into AI models.
Distinguishing note: None of the candidates fit the protocol-specific resource exposure; this is a core data-sharing capability.
Explore 2 awesome GitHub repositories matching data & databases · Structured Resource Exposure. Refine with filters or upvote what's useful.
This project provides a TypeScript software development kit for the Model Context Protocol, a standard designed to facilitate bidirectional communication between AI applications and external data sources or tools. It serves as a foundational framework for building both clients and servers, enabling language models to interact with external systems through a unified, decoupled interface. The SDK distinguishes itself by implementing a transport-agnostic connection layer that supports both local standard input-output streams and remote HTTP endpoints. It utilizes a JSON-RPC message bus to manage
Exposes structured data resources via URI-based addressing to provide context for language model reasoning.
The inspector is a diagnostic and validation tool for the Model Context Protocol. It provides an interactive interface and a transport proxy to discover, inspect, and execute the tools, prompts, and resources provided by an MCP server. The project serves as a debugger and compliance tester to verify that server implementations adhere to the protocol specification and JSON-RPC standards. It allows for real-time monitoring of message exchanges and logs between clients and servers across various transport layers, such as standard input/output and Server-Sent Events. The tool covers a broad rang
Provides structured data and context that can be retrieved and used by AI models.