AI Skills Buddy, A desktop workspace for managing, installing, and synchronizing Skills and MCP Servers across AI agents.
📊 Browse your AI coding spend in the terminal — OpenCode, Claude Code, Codex & friends
Model Context Protocol (MCP) Server to connect your AI with any MediaWiki
An MCP server for Keycloak, designed to work with Keycloak for identity and access management, covering, Users, Realms, Clients, Roles, Groups, IDPs, Authentication. Searching keycloak discourse, Native builds available.
DeepBot is a system-level AI assistant built for both personal productivity and enterprise workflows — one-click setup, seamless experience, and native Feishu integration.
Project Management for the agent era
Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microsoft docs & code samples.
Every past session, subagent, and workflow -- queryable by your agent, browsable by you
lnwjud — local AI-agent runtime & MCP gateway
🌼 A token-friendly local MCP server for DaisyUI component documentation using their public llms.txt.
Instant SECURE Full Stack Apps and AI Agents
An agent skill focused entirely on Swift Testing, helping you write better tests, migrate from XCTest, improve test architecture, and adopt modern Swift testing patterns with confidence.
A JupyterLab extension supporting Claude Code, Copilot, Ollama, and OpenAI-compatible LLMs, with MCP, skills, plugins, and notebook agents.
Dext - Modern Full Stack Framework for Delphi
mission control for agent skills
Shared standards and reusable skills for Claude Code, Codex CLI, and other AI coding agents.
Model router for agentic systems. Routes every prompt to the right model in <50ms. Cut costs 40-70% with just an endpoint change.
MCP server for full Godot 4.x engine control: 157 tools for AI-driven game development (GDScript and C#/.NET). Tested with Godot 4.7.

Durable MCP control plane for long-running Codex Desktop tasks
Model Context Protocol (MCP) server that lets AI assistants read Overleaf projects, parse LaTeX document structure, and push section-level edits back via Git. Compatible with Claude Desktop, Cursor, Windsurf, and any MCP client.

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

Deterministic safety solutions for probabilistic AI 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.
Remote approvals, policy checks, and execution evidence for unattended AI agents.