MCP Clients

Build and manage Claude agent workflows with a TypeScript and SvelteKit app for structured AI automation and local SQLite storage

Manage and install MCP servers across multiple AI clients from a single CLI for seamless Model Context Protocol integration.

Enable AI agents to process webhooks and RSS feeds using native MCP tools for streamlined, event-driven automation and data handling.

Enable headless Binary Ninja reverse engineering via MCP for AI agents to perform deep analysis, patching, and type management without a GUI.

ADP MCP Server — Model Context Protocol server for AI assistant integration (read-only split from app-dev-panel/app-dev-panel)

Extend Apache Superset with Model Context Protocol to integrate and manage machine learning models efficiently within data dashboards.

Build Claude Code content workflows with 8 skills, persistent memory, and a quality gate for cleaner drafts and better SEO.

Provide a server for RequestRepo enabling request handling, sharing, DNS, files, and ping with secure, configurable transport and mutation control.

Manage and debug local Model Context Protocol servers with an easy desktop app that auto-discovers and monitors MCP instances.

Generate configuration files for AI coding agents by detecting your stack and applying community rules for better session context.

Manage and coordinate multiple AI CLI instances with real-time monitoring, hierarchical control, and multi-agent verification for large-scale automation.

Turn PRDs into Linear issues and Trello boards with AI, then export tasks, phases, and checklists in one click

Deliver a local, Windows-based execution layer for MCP-capable agents with zero cloud dependency and broad agent support.

🤖 Enhance customer support with an AI chat platform that delivers intelligent, context-aware responses through a seamless full-stack solution.

Orchestrate multi-agent workflows with LangGraph for Python 3.11+, with a lightweight, tested framework for routing tasks and agents