MCP Clients

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.

FLUJO is an open-source platform that unifies workflow orchestration, Model-Context-Protocol, and AI tool integration, providing a local interface for managing AI models, MCP servers, and complex workflows. It is powered by PocketFlowFramework.

Dolphin MCP is a Python library and CLI tool for interacting with Model Context Protocol servers using natural language. It supports multiple LLMs and provides a conversational interface for accessing

This repository provides MCP.el, an Emacs client for the Model Context Protocol, enabling structured communication with MCP servers and offering features like resource management and integration with other Emacs packages.

This repository provides tools for using the Model Context Protocol (MCP), a standardized way for AI agents to discover and utilize various capabilities like web search, file system access, and database interactions.

AWorld facilitates building, evaluating, and running General Multi-Agent Assistance, bridging the gap between theoretical MAS capabilities and real-world applications. It allows users to create agentic prototypes and extend them for practical needs.

UE5-MCP integrates AI-driven automation into Blender and Unreal Engine 5 workflows, enhancing level design, asset management, and gameplay programming through automated scene generation, asset creation, and debugging utilities.

This repository offers a voice-controlled AI interface using Google Gemini and Anthropic MCP, enabling natural speech and multimodal inputs for interacting with AI systems. It supports both custom and Systemprompt MCP servers.

Y-cli is a command-line chat application that brings AI conversations to your terminal, offering flexible storage, interactive chat, multiple bot configurations, reasoning model support, and MCP integration for deep research.

This repository showcases a Model Context Protocol (MCP) client built with Gradio, demonstrating interaction with MCP servers via STDIO and SSE for seamless tool integration within a user-friendly interface.

This repository provides a basic MCP client implementation that leverages the Ollama API to retrieve MCP data, replacing the original Claude-specific code and currently supporting only stdio transport for communication.

This repository provides two MCP client implementations that connect to an MCP server and send queries to Google Gemini AI. It enables Gemini to call external tools and maintains conversation

This repository demonstrates using the Model Context Protocol with OpenAI to build a chat-based agent. It provides a starting point for projects, but users should be aware of potential token usage costs.

This repository provides a REST API and CLI client for interacting with Model Context Protocol (MCP) servers, leveraging LangChain for LLM prompts and supporting various LLM providers. It enables collaboration

This repository provides a minimal MCP client library, enabling LLM UIs to support the Model Context Protocol through an OpenAI-compatible API. It facilitates integration with locally runnable inference engines.