A dynamic server that automatically discovers and executes scripts from a tools directory as isolated processes using the MCP protocol. It enables users to easily extend server capabilities by adding new tool scripts that communicate via JSON.
A modular platform that enables LLM agents to discover, register, and execute both local tools and tools from external MCP servers, with REST APIs for server management and Streamable HTTP support.
A configurable MCP server extension for Jupyter Server that enables dynamic registration of Python functions as tools accessible to MCP clients from a running Jupyter Server.
An MCP server framework enabling standardized tool registration, discovery, and invocation over JSON-RPC 2.0, with support for InProcess, SSE, and WebSocket transports, plus built-in tools such as calculator, text processor, and JSON formatter.
A lightweight Node.js-based MCP server that exposes custom tools via HTTP and Server-Sent Events (SSE) for clients like Postman. It allows users to register tools with type-safe validation to establish bidirectional communication with MCP clients.