Umbrella package for SciTeX — reproducible science from raw data to manuscript

Connect AI agents across any network — zero config, encrypted, skill-based routing

Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.

Unofficial Ruby SDK for Claude Agent

Playwright AI Agent POM MCP ServerPlaywright AI Agent using Page Object Model (POM) architecture with MCP Server integration for automated web and mobile testing

A chatbot implementation compatible with MCP (terminal / streamlit supported)

Multi-agent research automation framework for LLM agents, with adversarial lab meetings, paper-review rounds, auditable Markdown workflows, an autonomous runtime watchdog, and a pixel-art web dashboard.

A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data fetching, and an advanced RAG (Retrieval-Augmented Generation) system.

The agentic server framework.

A type-safe implementation of the official Model Context Protocol (MCP) schema in Rust.

A lightweight Ruby framework for building MCP servers with a Sinatra-like DSL

Go SDK for Anthropic Claude Code CLI – unofficial Claude Code Go agent SDK

A type-safe solution to remote MCP communication, enabling effortless integration for centralized management of Model Context.

A framework for discovering, compiling, and validating reusable skills for scientific agents.

A Model Context Protocol (MCP) client library and debugging toolkit in Rust. This foundation provides both a production-ready SDK for building MCP integrations and the core architecture for an interactive debugger.

Solid Tumor Associative Modeling in Pathology

Absurdly easy Model Context Protocol Servers in Typescript

API Framework heavily relying on the power of DuckDB and DuckDB extensions. Ready to build performant and cost-efficient APIs on top of BigQuery or Snowflake for AI Agents and Data Apps

A generic, modular server for implementing the Model Context Protocol (MCP).

A TypeScript SDK for implementing Model Context Protocol (MCP) over MQTT, supporting both browser and Node.js environments.

Java test automation framework for web, mobile, API, CLI, database, and desktop E2E testing with a fluent API and built-in reporting.

A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation. Claude Code plugin and MCP server integration.

Modex is a Clojure MCP Library to augment your AI models with Tools, Resources & Prompts using Clojure (Model Context Protocol). Implements MCP Server & Client.

Config-driven engine that turns JSON into production-grade AI agents. Multi-agent orchestration, 12+ LLM providers, MCP/A2A protocols, RAG, persistent memory, and enterprise compliance (EU AI Act, GDPR, HIPAA). Built on Quarkus.