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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

Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded...

A statistically-sound agentic loop-engineering framework. You give it a task description, a pile of gold-standard input/output examples, and a set of checks; it runs agentic loops (a strategy agent...

AI-assisted tools for building, testing, and deploying Fivetran Connector SDK connectors. Distributed as a native plugin/extension for Claude Code, Codex CLI, Gemini CLI and GitHub Copilot CLI.

Lore injection: how fabricated memory becomes model trust

A portable Agent Skill for AI product engineering + open-source maintainer intelligence . Map the repo. Route the task. Review risk. Prepare releases. Harden automation. Prove the result.

Stop TODO leftovers, leaked secrets, sloppy commits and red CI from reaching main — with zero review bandwidth spent on the obvious stuff.

Draft Proposal (see CHANGELOG.md for version history)

它会根据角色参考图、服装参考图、场景参考图、人物关系、剧情想法和目标时长,生成更适合视频模型直接执行的完整提示词,重点处理人物一致性、情侣 POV、自然对白、微表情、手部互动、镜头连续性与真实生活感。

The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.

Write the feature. Do not build a bank around it. 写一个功能就写功能,不要在它外面修一座银行金库。

Self-organizing AI second brain for Obsidian + Claude Code. Drop any source and Claude reads, links, and files it into one connected knowledge graph of plain Markdown you own.

Built for Codex, Claude Code, Gemini CLI and other coding-agent workflows. v0.1 is local-first and deterministic: it creates inspectable placeholder scene assets and an FFmpeg video without an API...