MCP Clients

remote-mcp-chat

AnyContext-ai5

Lightweight LLM chat client connecting to remote MCP servers for interactive conversations.

Connect to remote MCP servers for LLM-powered chat sessions

Test and debug MCP server responses interactively

genkit-mcp-client-blender

xprilion5

MCP client for real-time 3D scene creation and manipulation in Blender

Create and modify 3D scenes in Blender via MCP

Select and customize 3D shapes, colors, and textures

Godot-MCP

Dokujaa5

Modular client enabling external AI-driven control of Godot game engine.

Enable AI-driven NPC behavior scripting in Godot games

Automate game testing and debugging via AI commands

mcp-composer

htkuan5

Centralized client managing multiple MCP servers via dynamic SSE interfaces.

Consolidate multiple MCP servers into a single access point

Dynamically activate or deactivate MCP servers and tools

mcp-client-rs

tim-schultz5

Rust async client for Anthropic's Model Context Protocol enabling structured LLM-tool communication with capability negotiation and tool execution.

Integrate MCP protocol in Rust-based AI applications

Enable async tool execution in LLM workflows

mcp-client

CopilotKit5

Modular MCP client orchestrating context flow and tool interactions for LLMs.

Manage context flow between LLMs and external data sources

Coordinate tool calls for multi-step reasoning tasks

agentic-slackbot

John-Lin5

Agentic Slack bot integrating MCP with OpenAI Agents SDK for interactive workflows.

Automate Slack conversations with context-aware AI responses

Integrate MCP-powered agents into Slack workflows

jackal-mcp

JackalLabs5

Jackal's native agentic AI client built on Anthropic MCP protocol.

Coordinate multi-step AI reasoning workflows

Manage context flow between AI models and MCP servers

signal-mcp-client

piebro5

MCP client leveraging Signal for secure message sending and receiving.

Send and receive MCP messages via Signal's encrypted network

Integrate Signal messaging into AI-driven chat workflows

genpilot

yanmxa5

GenPilot is a powerful MCP client that simplifies building and managing multi-agent AI systems via an intuitive terminal and web interface.

Build and manage multi-agent AI systems

Integrate generative AI agents with MCP servers

py-mcp-sse

jayliangdl5

Python MCP client using SSE for real-time LLM tool interaction.

Connect to MCP servers using SSE for live tool data exchange

Interact with book search tools via MCP server integration

sauropod

sauropod-io5

Local AI agent UI and orchestrator for managing MCP servers and workflows

Run and manage local AI agents with a unified UI

Orchestrate multiple MCP servers and subprocesses

mcp-client-any-llm

rxyshww4

Next.js MCP client enabling seamless chat with multiple LLMs via a clean, markdown-supported interface.

Chat with multiple LLM providers in one interface

Maintain conversation context across sessions

demcp-browser-use-mcp

demcp4

No description available

openmas

openmas-ai4

Easily Build Smart Multi-Agent Systems