MCP Clients

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

Turn AI browser actions into polished demo GIFs and MP4s with click, keystroke, zoom, and pan capture

Provide a clear, practical security checklist for teams building and deploying Model Context Protocol servers and AI agent infrastructure.

Enable self-hosted APIs to accept USDC micropayments via the x402 protocol using HTTP 402 status for seamless crypto payment integration.

Build interactive charts, diagrams, mockups, and widgets with an MCP server for on-demand UI generation guidelines

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.

Explore and analyze your iMessage history locally with 26 tools powered by AI, fully compatible with the Model Context Protocol.

🛠️ Enhance search efficiency with Tool Search MCP, a client-side tool search service that dynamically loads relevant MCP tools for better performance.

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

Explore tips, prompt templates, and code snippets to improve your use of Claude AI with this community-curated resource.

Aggregate multiple Ollama instances into a unified OpenAI-compatible API with load balancing, health checks, auto discovery, and web management.

HTTP client, CLI, and MCP for modular, git-tracked request sequencing

MCP client for use by picoclaw and other crustaceans

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

🤖 Build engaging AI chat experiences with Ultralytics LLM, a lightweight JavaScript client for web applications, delivered via jsDelivr with zero dependencies.