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MCP Servers

Welcome to the Essential MCP workspace! This is where Hue and Aye collaborate to create amazing MCP implementations.

MCP is an in-image Model Context Protocol server for Pharo. It lets MCP clients inspect and change the running image through Pharo-aware tools for packages, classes, methods, tests, repositories,...

This project provides a Model Context Protocol (MCP) server for interacting with the Google Slides API. It allows you to create, read, and modify Google Slides presentations programmatically.

A collection of MCP server examples developed with Java SDKs

The core functionality has been integrated into all IntelliJ-based IDEs since version 2025.2.

The Weaviate Model Context Protocol (MCP) server is now built into Weaviate itself — there is nothing to install or run separately.

Minimal API & React framework, fully type safe, OpenAPI, RSC, MCP, type safe client, streaming with SSE

Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents.

This Quarkus extension provides both declarative and programmatic APIs that enable developers to easily implement MCP[^1] server features.

The Render MCP Server is a Model Context Protocol (MCP) server that allows you to interact with your Render resources via LLMs.

This repository demonstrates how to secure a Model Context Protocol (MCP) server using OAuth 2.1 authorization flows, implemented entirely with Node.js and Express.js.

Generation of Secure MCP (Model Context Protocol) Servers from API source code at Scale
Agent Skills

This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).

The main branch is under active development for . The stable releases are maintained in the v0.x branch. The documentation for Rslib v1 is available at v1.rslib.rs.

https://github.com/user-attachments/assets/023c0a9c-194a-45a9-bb88-ac8f16f5ffd5

NeMo Gym is a library for evaluating and improving models and agents using environments. NeMo Gym provides infrastructure to develop environments, scalably run evaluation and training, and a...

Fast, AI-ready, and zero-config. Free and open source, forever.

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ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...

🌩️ Be like a god to a town of agents. Pause time. Whisper to a soul. Bend the next step. Reset the world — all from a single click.

Built by DeepSeek, for DeepSeek. An AI coding agent that flows through your codebase like a tide. The name: DeepSeek + tide (terminal IDE).

Screenshot testing is key to validate your app's appearance and functionality. It efficiently detects visual issues and tests the app as users would use it, making it easier to spot problems.

A collection of Codex/agent skills for planning, documentation access, frontend development, and browser automation.