MCP Clients

No description provided

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 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.

An MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). This server is built with the FastMCP framework and the imessagedb library, enabling LLMs to que

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.

FastAPI server implementing MCP protocol Browser automation via browser-use library.

OmniMCP uses Microsoft OmniParser and Model Context Protocol (MCP) to provide AI models with rich UI context and powerful interaction capabilities.

No description provided

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.

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.

description: "An MCP server that enables LLMs to 'see' what's happening in browser-based games and applications through vectorized canvas visualization and debug information.

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.

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

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.