Browse and discover Model Context Protocol compatible clients.
Store persistent project memory for AI agents and MCP clients so they can resume work with context, decisions, and tasks intact
Explore 30+ AI agent frameworks to learn patterns, architectures, and source-backed implementation details for building better agents
MCP server for connecting to OmniFocus, a MacOS based GTD and task management application. Written with Cline+ClaudeAI, not polished yet, but works on my machine.
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.
Build UEFN Python tools for asset registry, device cataloging, and workflow automation with 355 utility functions
Route semantic tool requests through one MCP router to simplify AI access to 1,000+ tools in n2-qln
🤖 Enhance customer support with an AI chat platform that delivers intelligent, context-aware responses through a seamless full-stack solution.
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.
Access and edit your Obsidian vault remotely with a secure HTTPS MCP server, OAuth 2.0, and full-text search
an mcp server for a valtown wrapper (terrible description)
MCP servers and integrations for Vaquill - CourtListener, CanLII, chatbots, Slack, Discord, WordPress bots, and more.
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.
Control GitHub Actions workflows from your AI assistant to list runs, read logs, rerun jobs, cancel builds, and trigger deployments within your editor.