The AI Operating System for Delphi. 100% native framework with RAG 2.0, autonomous agents, MCP protocol, and universal LLM connector. Supports OpenAI, Claude, Gemini, Ollama, and more. Delphi 10.4+ (limited), full support from Delphi 12 Athens.
MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models.
🔬 A Researcher&Agent-Friendly Framework for Time Series Analysis. Train Any Model on Any Dataset!
Transform any Cobra CLI into an MCP server
Rails Engine with MCP compliant Spec.
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).