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Your AI Coding Assistant's Long-Term Memory

Index of all Model Context Protocol (MCP) clients and their capabilities

📦 Discover, deploy, and test MCPs in isolated sandboxes

The Bank API is a design reference project suitable to bootstrap development for a compliant and modern API.

MCP server for Fantastical calendar app - create events, view calendar, and manage schedules

Context7 MCP Server for Zed

The MCP server that will help you trade smarter (or at least try)

Convert LangChain tools to FastMCP tools

Vibe-Coder-MCP server extends AI assistants with specialized software development tools.

Canvas MCP Client is an open-source, self-hostable dashboard application built around an infinite, zoomable, and pannable canvas. It provides a unified interface for interacting with multiple MCP (Model Context Protocol) servers through a flexible, widget-based system.

A Model Context Protocol implementation for FHIR

The Gemini CLI confirmed that the MCP server built with Google Apps Script (GAS), a low-code platform, offers immense possibilities. If you've created snippets for GAS, these could be revitalized and/or leveraged in new ways by using them as the MCP server. The Gemini CLI and other MCP clients will be useful in achieving this.

MCP server for searching and surfacing Claude Code conversation history

Rust + WASM sublinear-time solver for asymmetric diagonally dominant systems. Exposes Neumann series, push, and hybrid random-walk algorithms with npm/npx CLI and Flow-Nexus HTTP streaming for swarm cost propagation and verification.

Universal MCP Server Configuration Manager

A Cli, a webUI, and a MCP server for the Z-Image-Turbo text-to-image generation model (Tongyi-MAI/Z-Image-Turbo base model as well as quantized models)

Grapheteria: A structured framework bringing uniformity to agent orchestration!

🔐 SSH MCP Tool - AI-powered SSH management through MCP protocol | 基于MCP协议的SSH工具，为AI提供SSH远程操作能力

Spring AI Playground is a self-hosted web UI for low-code AI tool development with live MCP server registration. It includes MCP server inspection, agentic chat, and integrated LLM and RAG workflows, enabling real-time experimentation and evolution of tool-enabled AI systems without redeployment.