An agent foundry for creating specialized agents that collaborate over a shared context and memory to complete a set of DAG steps designed by a planner agent
Model Context Protocol (MCP) server for Odoo integration, allowing AI agents to access and manipulate Odoo data through a standardized interface.
Practical patterns, architectures, and hands-on examples for building agentic systems. Explore agent workflows, coordination strategies, and real-world implementations with frameworks like CrewAI, LangGraph, MCP and beyond.
Validates the LLM-generated MCP components against official schema definitions from the MCP TypeScript/Python SDKs to ensure compliance.
JHipster blueprint for generating MCP (Model Context Protocol) compatible applications with AI tool integration support
A Model Context Protocol (MCP) server that coordinates AI agents to transform database tables into Wikipedia-style data dictionaries.
Local MCP Client is a cross-platform web and API interface for interacting with configurable MCP servers using natural language, powered by Ollama and any local LLM of choice, enabling structured tool execution and dynamic agent behavior.
A developer-focused infra automation framework for rapid local Kubernetes development, CI/CD environment simulation and validation, with the ability to save and share your development environments anywhere.
A library for indexing code repositories using Tree-sitter Stack Graphs, designed to be used in MCP servers and other tools.
Xcode MCP Server xcf is a 100% Swift based allowing you to integrate Xcode with your favorite AI IDE or MCP Client
A simple, easy-to-use library for developing and debugging MCP (Model Context Protocol) based systems. Supports effortless deployment of tools from MCP repositories with clear visibility into the calling process.
An intelligent bug tracking CLI tool leveraging LLMs and decentralized storage for efficient bug reporting and management




























































































