Browse and discover Model Context Protocol compatible clients.
A large model-based chatbot builder that can quickly integrate AI models (including ChatGPT, Claude, Gemini) into various software applications (such as Telegram, Gmail, Slack, and websites).
Full guide on claude tips and tricks and how you can optimise your claude code the best & strive to find every command possible even hidden ones!
CISO Assistant is a one-stop-shop for GRC, covering Risk, AppSec, Compliance/Audit Management, Privacy and supporting +100 frameworks worldwide with auto-mapping: NIST CSF, ISO 27001, SOC2, CIS, PCI D
Every front-end GUI client for ChatGPT, Claude, and other LLMs
This repository provides guidelines for contributing to the Cursor and Windsurf Directories. It explains how to add new rules or prompts, emphasizing accuracy, clarity, and testing of contributions to help developers.
GOWA - WhatsApp REST API with support for UI, Webhooks, and MCP. Built with Golang for efficient memory use.
Stop juggling AI SDKs! RubyLLM offers one delightful Ruby interface for OpenAI, Anthropic, Gemini, Bedrock, OpenRouter, DeepSeek, Ollama & compatible APIs. Chat, Vision, Audio, PDF, Images, Embeddings
**Concise Description:** Self-hosted zero trust access platform. VPN, ZTNA, API gateway, PaaS, and secure remote access solution. #zerotrust #security #opensource
Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator
This repository provides a lightweight wrapper for using Anthropic Model Context Protocol (MCP) tools with LangChain and LangGraph, enabling the creation of agents that can access and utilize MCP-defined functionalities.
Kotlin Multiplatform sample with SwiftUI, Jetpack Compose, Compose for Wear, Compose for Desktop, and Compose for Web clients along with Ktor backend.
This repository provides a collection of Apple-native tools for the Model Context Protocol (MCP), enabling features like sending messages, managing notes, contacts, emails, and reminders directly from Apple apps.
This n8n community node enables interaction with Model Context Protocol (MCP) servers within n8n workflows, allowing access to resources, tool execution, and prompt utilization for AI model integrations.
Effortlessly run LLM backends, APIs, frontends, and services with one command.
Kagent is a Kubernetes-native framework simplifying the creation, deployment, and management of AI agents within Kubernetes, leveraging custom resources for agents and tools to ensure flexibility and extensibility.