Browse and discover Model Context Protocol compatible clients.
Flock is a flexible low-code platform for orchestrating collaborative agents, offering features like MCP tools support, parameter extraction, subgraph nodes, human-in-the-loop interactions, and multimodal chat capabilities. Flock is a flexible
Chatmcp is a cross-platform AI chat client for MacOS, Windows, Linux, iOS, and Android, allowing users to chat with an MCP server after configuring their LLM API key and endpoint
Just a Better Chatbot. Powered by MCP Client & Workflows.
Minima is an open-source RAG platform offering on-premises containerized solutions, integrating with ChatGPT and MCP, or operating fully locally. It enables secure querying of local documents using various LLMs.
This repository provides an Arduino library for interfacing with the MCP2515 CAN controller, enabling CAN-BUS communication for Arduino projects. It supports standard and extended frames, along with sending, receiving, and
An MCP adapter that bridges the Abilities API to the Model Context Protocol, enabling MCP clients to discover and invoke WordPress plugin, theme, and core abilities programmatically.
CLI MCP package manager & registry for all platforms and all clients. Search & configure MCP servers. Advanced Router & Profile features.
QGISMCP integrates QGIS with Claude AI via the Model Context Protocol, enabling Claude to control QGIS for tasks like project creation, layer manipulation, and code execution. It uses a QGIS
MCP-Bridge bridges the OpenAI API and MCP tools, enabling developers to use MCP tools through the OpenAI API interface. It supports chat completions, MCP tools, and offers an SSE Bridge
A library for communication with a Minecraft client/server.
Arcade Python SDK, CLI, and toolkits
VectorCode is a tool that indexes code repositories to help users write better prompts for coding LLMs by providing project context. It includes a neovim plugin and uses Chromadb as
AgentKit enables building multi-agent networks with deterministic routing and rich tooling via MCP, supporting TypeScript AI developers with fault-tolerant cloud deployment. It offers flexible routing, multiple model providers, and built-in tracing.
A minimalistic MCP client with a good feature set.
Simple, modular, and observable Go framework for backend applications.