4 dépôts
Awesome GitHub RepositoriesTool Registration
The process of registering callable tools that AI models can invoke on a server.
Distinct from Model Context Protocol Servers: Focuses on the registration of the tool on the server side, not the overall server implementation.
Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Tool Registration. Refine with filters or upvote what's useful.
Awesome Tool Registration GitHub Repositories
Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
- modelcontextprotocol/inspector
modelcontextprotocol/inspector
8,721Voir sur 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
Registers callable tools that a model can trigger to perform specific actions.
TypeScript - modelcontextprotocol/modelcontextprotocol
modelcontextprotocol/modelcontextprotocol
8,458Voir sur 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
Registers server-side tools that automatically trigger the rendering of specific UI resources when invoked.
TypeScript - lastmile-ai/mcp-agent
lastmile-ai/mcp-agent
8,037Voir sur GitHubmcp-agent is a framework for building AI agents that integrate with Model Context Protocol servers to execute tools and access data. It functions as a multi-agent orchestrator and protocol-compliant server, enabling the creation of agents that can discover and invoke tools from connected external servers. The project distinguishes itself through a durable workflow engine that supports long-running tasks capable of pausing, resuming, and surviving restarts. It implements complex orchestration patterns, including iterative evaluator-optimizer loops, hierarchical workflow nesting, and specialist
Registers functions as callable tools for language models with required metadata and structured schemas.
Pythonagentsaiai-agents - atmosphere/atmosphere
Atmosphere/atmosphere
3,780Voir sur GitHubAtmosphere is a Java-based framework for building and coordinating AI agents. It provides a real-time transport layer for streaming data via WebSockets, SSE, gRPC, and WebTransport, alongside a multi-agent orchestration framework for managing agent fleets through sequential, parallel, and graph-based execution workflows. The project features a durable workflow engine that persists agent state as snapshots, allowing long-running tasks to survive system restarts and incorporate human-in-the-loop approvals. It also implements Model Context Protocol servers to expose tools, resources, and prompt
Provides an API for programmatically adding callable tools to the server registry at runtime.
Javaacpagentic-aiembabel
