#REPL

Mirror of

Mirror of

A collection of standalone Python scripts that implement Model Context Protocol (MCP) servers for various utility functions. Each server provides specialized tools that can be used by AI assistants or other applications that support the MCP protocol.

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

A Model Context Protocol (MCP) server for analyzing OpenReplay session recordings and user behavior patterns

A Java-based Model Context Protocol (MCP) server that provides deep introspection, monitoring, debugging, and REPL capabilities for Java applications. Descartes enables AI assistants to interact with running Java processes through a comprehensive set of tools and resources. Kind of does for the Java backend what Playwright does for the frontend. Easy to add as a maven dependency to your Java application.

Sunra.ai is a generative media platform built for developers, providing high-performance AI model inference capabilities. It specializes in running diffusion models through production-ready APIs and interactive UI playgrounds.

Run & Manage Long Processes - install, scrap, encode video, compile Search & Read & Edit files - including diff editing for speed and precision

MCP for Replicate Flux Model - A powerful tool for generating customized images and SVG assets that match specific coding vibes and aesthetic styles. Streamline your visual asset creation process with AI-powered design generation tailored for developers.

A Model Context Protocol server that executes commands in the current iTerm session - useful for REPL and CLI assistance

The Rollbar MCP Server implements the Model Context Protocol (MCP), letting you run Rollbar-compatible agents in local or custom environments.