A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | https://misakanet.org

Shared context, memory, and task coordination across AI coding agents. Single Go binary, local SQLite, hybrid keyword and semantic search.

Conversion from Excel to structured JSON (tables, shapes, charts) for LLM/RAG pipelines, and autonomous Excel reading/writing by AI agents via CLI and MCP integration.

Kappa Graph — κ(G). A semantic knowledge graph where knowledge has weight. Extracts concepts, measures grounding strength, preserves disagreement, traces everything to source.

Durable MCP control plane for long-running Codex Desktop tasks

Define task-specific AI sub-agents in Markdown for any MCP-compatible tool.

🏛 [UNDER CONSTRUCTION] A (roman) claude plugin marketplace

vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm

Local persistent memory store for LLM applications including continue.dev, cursor, claude desktop, github copilot, codex, antigravity, etc.

Give your AI assistant eyes and hands in the Godot editor: scene editing, input injection, deterministic playtesting, and live game state for agents

Instant, accurate Unreal Engine API lookups instead of expensive source file reads, saving your agent tokens, context, and hallucinations.

🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support

LeanKG: Stop Burning Tokens. Start Coding Lean.

The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.

Open Source A2A Protocol Adapter SDK for Different Agent Frameworks and Harnesses

Two-mode MCP music studio: scored composition (ABC notation) and live performance (Strudel). Interactive ext-apps UI with sheet music rendering, 30+ instruments, style presets, and live coding REPL.

GUI for the Windows Subsystem for Linux — and native Linux/macOS VMs on Mac. Install, back up, move and configure distros without CLI flags; AI assistant with tools, MCP server for agents, remote WSL over SSH.

Node-based terminal manager for AI coding agents — tmux-backed terminals and parallel agent sessions as draggable nodes on an infinite pan/zoom canvas. macOS, Linux, and a browser Server Edition.

A blazing fast AI Gateway with integrated guardrails. Route to 1,600+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.

A plugin-based gateway that orchestrates other MCPs and allows developers to build upon it enterprise-grade agents.

Fast, interruptible verification browser for AI coding agents: 35 ms checks, pixel diffs, live human hand-off

Record any browser page as GIF or video via MCP — powered by Playwright + ffmpeg

✨ A customizable copilot-instructions.md ruleset & prompts to guide GitHub Copilot toward secure coding defaults in Java, Node.js, C# and Python. Blocks risky patterns, teaches safe habits.