9 skills found
punkpeye / awesome-mcp-clientsA collection of MCP clients.
adhikasp / mcp-client-cliA simple CLI to run LLM prompt and implement MCP client.
jonigl / mcp-client-for-ollamaA text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include agent mode, multi-server, model switching, streaming responses, tool management, human-in-the-loop, thinking mode, model params config, MCP prompts, custom system prompt and saved preferences. Built for developers working with local LLMs.
Ejb503 / multimodal-mcp-clientA Multi-modal MCP client for voice powered agentic workflows
Linzo99 / browser-use-mcp-clientA MCP client for browser-use
peakmojo / agentic-mcp-clientA standalone agent runner that executes tasks using MCP (Model Context Protocol) tools via Anthropic Claude, AWS BedRock and OpenAI APIs. It enables AI agents to run autonomously in cloud environments and interact with various systems securely.
artemnovichkov / mcp-client-exampleLearn how to implement MCP client with SwiftUI and Anthropic API
datalayer / langchain-mcp-client🦜🔗 LangChain Model Context Protocol (MCP) Client
dyneth02 / MCP-Client-Server-Project-using-NodeJSA minimal Model Context Protocol (MCP) implementation built with Node.js and TypeScript. This project demonstrates client–server communication over stdio, structured message handling, and local data access, developed with VS Code and GitHub Copilot to explore modern AI tool integration workflows.
