Browse and discover Model Context Protocol compatible clients.
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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
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.
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
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
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
Build Your Agent Team for Real-World AI Development - Workspace-first multi-agent coordination platform for AI development, with shared Specs, Kanban orchestration, and MCP/ACP/ A2A support across web and desktop.
Arcade Python SDK, CLI, and toolkits
A library for communication with a Minecraft client/server.
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.
Simple, modular, and observable Go framework for backend applications.