Agent Construct
A multi-tool MCP server implementation for agent tool management.
What is Agent Construct?
What is Agent Construct? Agent Construct is a multi-tool Model Context Protocol (MCP) server implementation designed for managing agent tools and providing a standardized interface for AI applications to access tools and context. How to use Agent Construct? To use Agent Construct, clone the repository, install the dependencies, set up the environment variables, and run the server using Python. Key features of Agent Construct? Full compliance with the Model Context Protocol (MCP) specification. Dynamic tool registration and discovery mechanism. High-performance asynchronous server built with FastAPI. Real-time updates via Server-Sent Events (SSE). Extensible request handler architecture for various MCP operations. Use cases of Agent Construct? Managing AI tools for various applications. Facilitating communication between AI models and external tools. Providing a centralized hub for tool discovery and execution. FAQ from Agent Construct? What programming language is Agent Construct built with? Agent Construct is built using Python. Is there a license for Agent Construct? Yes, it is licensed under the MIT License. How can I contribute to Agent Construct? Contributions are welcome! You can submit a Pull Request or open an issue to discuss changes.
As an MCP (Model Context Protocol) server, Agent Construct enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Agent Construct
To use Agent Construct, clone the repository, install the dependencies, set up the environment variables, and run the server using Python. Key features of Agent Construct? Full compliance with the Model Context Protocol (MCP) specification. Dynamic tool registration and discovery mechanism. High-performance asynchronous server built with FastAPI. Real-time updates via Server-Sent Events (SSE). Extensible request handler architecture for various MCP operations. Use cases of Agent Construct? Managing AI tools for various applications. Facilitating communication between AI models and external tools. Providing a centralized hub for tool discovery and execution. FAQ from Agent Construct? What programming language is Agent Construct built with? Agent Construct is built using Python. Is there a license for Agent Construct? Yes, it is licensed under the MIT License. How can I contribute to Agent Construct? Contributions are welcome! You can submit a Pull Request or open an issue to discuss changes.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Agent Construct can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Agent Construct provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.