MCP Clients

Provide LLM clients with tools to fully manage Remnawave VPN panels using MCP Server for user, node, and system control.

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

Route semantic tool requests through one MCP router to simplify AI access to 1,000+ tools in n2-qln

🤖 Orchestrate AI across apps with a universal API that simplifies integration and automates tasks using Model Context Protocol (MCP) compatibility.

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

Manage MCP server configs and behavioral rules across AI coding platforms with automatic detection and version control, requiring no dependencies.

Provide AI assistants access to Reddit data using a Model Context Protocol server without requiring API keys.

Simple MCP server that returns "Hello World!" message. Easy to set up with any MCP-compatible AI client. 🌍💻

Access and edit your Obsidian vault remotely with a secure HTTPS MCP server, OAuth 2.0, and full-text search

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

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

Provide a TypeScript client that reverse-engineers QClaw's WeChat OAuth2 login and jprx gateway protocol for seamless Tencent API access.

Control GitHub Actions workflows from your AI assistant to list runs, read logs, rerun jobs, cancel builds, and trigger deployments within your editor.

Analyze FPL data for captain picks, transfers, chip timing, and league insights with real-time Python MCP tools

A production-grade semantic search server for food recipes — built for AI agents using the Model Context Protocol (MCP). Search across 50,000+ recipes with hybrid dense + sparse retrieval and cross-encoder reranking.