EasyMCP is a TypeScript library that simplifies the development of Model Context Protocol (MCP) servers. It provides a concise API and experimental decorator support, automatically handling type inference and template configuration.

The Subconscious AI MCP Server is a tool based on the Model Context Protocol that allows users to run AI - driven conjoint experiments through AI assistants such as Claude and Cursor. It uses causal inference and synthetic population data for decision - making analysis and provides REST API and real - time update functions.

A FastMCP server implementation based on the Replicate API, focusing on providing resource-based access to AI model inference, especially good at image generation functions.

The RLM MCP Server is a large-scale context processing tool based on the Recursive Language Model pattern. It allows Claude Code to process text of over 10 million tokens through external variables, avoiding directly inputting massive content into the prompt. Through the processes of loading, chunking, sub-querying, and aggregation, it supports automatic analysis and programmatic execution, and can connect to the Claude API or the local Ollama for free inference.

AI00 RWKV Server is an efficient inference API server based on the RWKV language model, supporting Vulkan acceleration and OpenAI-compatible interfaces.