4 repository-uri
Awesome GitHub RepositoriesStructured Tool Outputs
Capabilities for returning complex, schema-defined data types from tool executions.
Distinct from Model Context Protocol Servers: Distinct from general server implementation by focusing specifically on the structured formatting of tool return values
Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Structured Tool Outputs. Refine with filters or upvote what's useful.
Awesome Structured Tool Outputs GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- mark3labs/mcp-go
mark3labs/mcp-go
8,806Vezi pe GitHubmcp-go is a Go implementation of the Model Context Protocol (MCP) providing an SDK and framework for building servers that connect large language model applications to external tools and data sources. It serves as a developer kit for implementing bidirectional communication and structured data exchange between AI clients and servers. The framework enables the creation of executable tools with structured output schemas, reusable prompt templates, and data resource exposure via URI templates. It supports multiple transport layers, including stdio, HTTP, and Server-Sent Events, using a transport
Returns complex data types using defined schemas to ensure precisely formatted output for language models.
Go - modelcontextprotocol/inspector
modelcontextprotocol/inspector
8,721Vezi pe GitHubThe 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
Returns tool outputs as any valid JSON value based on defined output schemas.
TypeScript - modelcontextprotocol/modelcontextprotocol
modelcontextprotocol/modelcontextprotocol
8,458Vezi pe GitHubModel Context Protocol is a standardized framework for connecting large language models to external data sources and executable tools. It enables the creation of a universal interface where servers expose tools, resources, and prompts that can be discovered and utilized by various AI clients. The protocol utilizes a JSON-RPC message system that is transport-agnostic, supporting both standard input/output for local processes and HTTP with server-sent events for remote connections. It emphasizes security and control by delegating model sampling to the client to keep API keys secure from servers
Provides tool outputs that conform to a predefined schema for strict validation and integration.
TypeScript - getsentry/xcodebuildmcp
getsentry/XcodeBuildMCP
4,367Vezi pe GitHubXcodeBuildMCP is a Model Context Protocol server and development tool bridge that provides AI agents with the ability to control xcodebuild, manage simulators, and automate the compilation and execution of Apple platform applications. It functions as a persistent daemon that proxies native IDE build and debug capabilities to external clients and agents. The project distinguishes itself by using the Model Context Protocol to expose build and device management tools through a standardized interface. It implements specialized skill priming and instruction configuration to ensure AI agents can in
Wraps tool results in a structured envelope with agent-focused fields and hints.
TypeScriptmcpmcp-servermodel-context-protocol
