Browse and discover Model Context Protocol compatible clients.
MCP servers and integrations for Vaquill - CourtListener, CanLII, chatbots, Slack, Discord, WordPress bots, and more.
🚀 Streamline build and dev output by feeding logs directly into AI coding sessions using Model Context Protocol for seamless automation.
HTTP client, CLI, and MCP for modular, git-tracked request sequencing
MCP client for use by picoclaw and other crustaceans
Aggregate multiple Ollama instances into a unified OpenAI-compatible API with load balancing, health checks, auto discovery, and web management.
Route semantic tool requests through one MCP router to simplify AI access to 1,000+ tools in n2-qln
Control your Mac with Gemini voice commands to manage apps, files, web, Gmail, Calendar, and Google Workspace tools
Enable self-hosted APIs to accept USDC micropayments via the x402 protocol using HTTP 402 status for seamless crypto payment integration.
Provide a clear, practical security checklist for teams building and deploying Model Context Protocol servers and AI agent infrastructure.
an mcp server for a valtown wrapper (terrible description)
Provide LLM clients with tools to fully manage Remnawave VPN panels using MCP Server for user, node, and system control.
🤖 Orchestrate AI across apps with a universal API that simplifies integration and automates tasks using Model Context Protocol (MCP) compatibility.
Extend Apache Superset with Model Context Protocol to integrate and manage machine learning models efficiently within data dashboards.
Provide AI assistants access to Reddit data using a Model Context Protocol server without requiring API keys.
OmniXy is a universal Model Context Protocol client in Python, enabling seamless integration with any LLM. It supports structured reasoning, robust prompt management, and adheres to the MCP specification for consistency.