MCP Clients

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This repository demonstrates a simple cross-platform MCP client built with Avalonia/C#. It connects to MCP servers, enabling users to leverage AI for various tasks, showcasing integration with services like DuckDuckGo and SQLite.

ArifOS — Constitutional MCP kernel for governed AI execution. AAA architecture: Architect · Auditor · Agent. Built for the open-source agentic era.

A 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

Telegram MCP Server and HTTP-MTProto bridge | Multi-user, web setup, Docker and MTProto-Proxy ready

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

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.

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.

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.

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.

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

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