MCP Clients

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.

Generate MCPB packages from MCP server projects using a Claude Code plugin and GitHub Actions workflow for streamlined server packaging.

Pragmatic Figma CLI for macOS — REST API + figma-mcp-go plugin + Hermes-Agent bridge. MIT.

MCP server to ensure code best practices for various programming languages and use cases

Organize many standalone repos on one machine with a local-first workspace structure, shared caches, and filesystem-based context

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

Description: Memory extension for MemberPress AI Assistant that adds enhanced semantic memory capabilities using the Model Context Protocol (MCP).

This repository provides a client implementation for the Model Context Protocol (MCP) using the OpenAI API, offering real-time communication with MCP servers through a simple interface. This repository provides a

A high-performance proxy middleware to fix Qwen3.5 tool calling issues and enable seamless MCP client compatibility.

No description provided

🔒 Access and manage encrypted SQLite databases effortlessly with this MCP server, designed for seamless integration with SQLCipher and various clients.

Provide Twitter data access with user profiles, tweet search, follower events, and influencer tracking through an easy-to-deploy MCP server.

Generate tool-calling models quickly and accurately from API definitions to streamline and improve your development workflow.

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

Manage and update n8n workflows programmatically using TypeScript and an MCP server workflow integrated with Claude Code.