A Python implementation of the MCP server that enables AI models to connect with external tools and data sources through a standardized protocol, supporting tool invocation and resource access via JSON-RPC.
A minimal demonstration server showcasing MCP protocol capabilities including tools, resources, and prompts with basic examples like hello world functionality.
A demo MCP server showcasing every MCP capability with fake logic, including tools, resources, prompts, progress, cancellation, elicitation, sampling, roots, and subscriptions, over Streamable HTTP, HTTP+SSE, and stdio transports.
A minimal learning-focused MCP server that demonstrates core primitives like tools and resources through simple greeting functions. It provides a foundational example for connecting AI models to external data using both Streamable HTTP and stdio transports.