MCP Clients

The http4k MCP Desktop Client is a command-line tool that acts as a proxy for desktop applications to communicate with MCP servers via StdIO. It supports various remote transport and

This repository provides a React application for interacting with Model Context Protocol (MCP) servers via Server-Sent Events, featuring a user-friendly interface, real-time communication, and screenshot previews. This repository provides a

Universal MCP server for AI agents to interact with any* blockchain via natural language and plugins. Supports swaps, bridges, gas, staking, lending, and more across Ethereum, Arbitrum, Base, Polygon, BSC, and testnets.

Self-hosted AI technical workbench. Visual, persistent, multi-stream. Development, architecture, and operational analytics without losing context.

MCPSwiftWrapper is a lightweight wrapper for mcp-swift-sdk, designed to integrate with LLM Swift libraries like SwiftOpenAI and SwiftAnthropic. It simplifies the creation of MCP Clients within macOS applications.

The mcp-langchain-ts-client repository provides a LangChain.js client for the Model Context Protocol, porting the original Python implementation to JavaScript/TypeScript, enabling the use of MCP tools within LangChain.js applications.

Universal Contract AI Interface (UCAI) 🔗 ABI to MCP | The open standard for connecting AI agents to blockchain. MCP server generator for smart contracts. Claude + Uniswap, Aave, ERC20, NFTs, DeFi. Python CLI, Web3 integration, transaction simulation. Polygon, Arbitrum, Base, Ethereum EVM chains. Claude, GPT, LLM tooling, Solidity, OpenAI.

This repository provides an MCP server that integrates Ollama with Claude Desktop, enabling users to list models, get model information, and ask questions to specified models using the Model Context Protocol.

This repository provides a TypeScript implementation of a Model Context Protocol (MCP) client, enabling LLM agents to interact with MCP servers through stdio or HTTP+SSE transports, supporting resources, tools, prompts, and sampling.

Laravel MCP is a package that implements the Model Context Protocol, enabling communication between AI models and Laravel applications through standardized interfaces with features like tool registration and resource management.

MCPX4J is a Java client library for MCP.RUN, enabling developers to easily integrate and invoke installed tools using a simple API with features like installation caching and customizable JSON decoding.

practical patterns for agentic coding: hooks, agents, automation. built from hundreds of claude code sessions

This repository hosts a web-based MCP client for creating and managing advanced chatbot applications, integrating with backend MCP servers via SSE for real-time interaction and Dify for chatbot management.

mcpx-py is a Python library that enables interaction with various Large Language Models (LLMs) using mcp.run tools, supporting models from PydanticAI, OpenAI, Ollama, and Gemini. mcpx-py is a Python library

Desktop4mistral is a Python-based desktop application offering a user-friendly interface for interacting with Mistral AI models, featuring model selection, chat history, command support, and Markdown support. Desktop4mistral is a Python-based