Remote approvals, policy checks, and execution evidence for unattended AI agents.
An MCP server for academic paper search that integrates with AI assistants (e.g., Claude Code, Cursor), enabling them to search and retrieve academic paper metadata.
Skills, prompts, and instructions for building AI agents on top of Dynatrace production context
Exa MCP for web search and web crawling!
An MCP server that scales development into controllable agentic, recursive flows, and build a feature from bottom-up
Native Liquid Glass AI token tracker for macOS. Breakdown into sessions/models/tools.
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
Expose llms-txt to IDEs for development
Portable AI-agent skill: capture YouTube transcripts as Obsidian-ready Markdown with metadata, linked timestamps, language selection, and subtitle exports
MCP tool: let you point at DOM elements for your favorite agentic coding tool. Let AI see what you see.
Token-efficient, local-first CLI tools for coding agents - compact Maven, npm/Node, and Go test output plus reusable development helpers.
Agent skills for Alpaca's Trading API and Broker API: drop-in SKILL.md files for AI coding assistants
The official TypeScript SDK for Model Context Protocol servers and clients

GitOps on Autopilot Mode
Playwright MCP server
Cli & MCP server for msw (Mock Service Worker) for AI Agents with dynamic mocking
APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API.
A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK
Model Context Protocol server for ActivityWatch time tracking data
Open-source 3D architectural editor with a local CLI, MCP tools, and practical workflows for humans and AI agents.
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
Agent-assisted maintainership and development framework for Apache projects — Triage, Mentoring, Drafting (agent-authored fixes with human review), and Pairing (developer-side dev-cycle) skills shipping; Agentic Autonomous (auto-merge) on the roadmap.

BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.

Desktop kanban board for orchestrating agentic workflows