Hook-based token compressor for 5 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI). Up to 95% bash compression, signature-mode for code reads, cross-call dedup, MCP server, self-teaching protocol. Zero runtime deps.
Wassette: A security-oriented runtime that runs WebAssembly Components via MCP
Model Context Protocol for WinDbg.
Persistent Intelligence Infrastructure for AI Agents
Give AI agents safe access to your database.
🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).
A suite of MCP tools for AIs to analyze and modify C# solutions with high signal, Roslyn powered context.
From text & real sources to maintainable .drawio architecture models: Diagram IR with source-kind profiles, incremental sync preserving manual layout, multi-view projection, architecture-as-test with a CI action, query/review, what-if, accessible Story Mode, and a built-in MCP server
🪄 Flint is a visualization language that lets AI agents reliably create expressive, good-looking charts from simple, human-editable chart specs.
A persistent local memory for AI, LLMs, or Copilot in VS Code.
rtfmbro provides always-up-to-date, version-specific package documentation as context for coding agents. An alternative to context7
Helping coding agents never make mistakes working with public or private libraries without wasting the context window.
Save or export your private and public Slack messages, threads, files, and users locally without admin privileges.
Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.
Searchable football data provider documentation for AI coding agents. Like Context7 for football data.
Project Management for the agent era
Turn your data into interactive dashboards inside any AI client - MCP Apps powered
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
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.
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 plugin-based gateway that orchestrates other MCPs and allows developers to build upon it enterprise-grade agents.
✨ 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.
A VSCode extension that lets you find and install Agent Skills and MCP Apps to use with GitHub Copilot, Claude Code, and Codex CLI.