Browse and discover Model Context Protocol compatible clients.
This repository provides a Python-based Model Context Protocol (MCP) client using LangChain, enabling interaction with MCP servers through LangChain ReAct Agent and supporting LLMs from Anthropic, OpenAI, and Groq.
Trebuchet Tk is a TCL/Tk 8 MUD client designed to provide a user-friendly interface for connecting to and interacting with MUDs, MUCKs, and MUSHes, offering features like color highlighting and script triggering.
A command-line tool to convert client modpacks into ready-to-run Minecraft servers
This repository showcases a simple Model Context Protocol (MCP) client using LangChain and TypeScript, demonstrating how to convert MCP server tools into LangChain-compatible tools for use with LLMs like Anthropic's Claude.
This repository provides a template for developing desktop applications using Tauri, Vue 3, and TypeScript with Vite, offering a modern development experience with Vue's `<script setup>` SFCs and recommended IDE support.
KSeF SDK for TypeScript/Node.js — invoice reconciliation with bank statements (MT940, mBank, ING, PKO, Santander), production KSeF 2.0 HTTP client, MCP server for Claude and Cursor. Open-source, MIT.
This repository provides a sample FastAPI application that demonstrates the implementation of an MCP (presumably Message Consumer Protocol) client, showcasing how to integrate and utilize MCP functionality within a FastAPI-based service.
Agsync is a repo-native control plane for managing skills, MCP servers, secrets, and agent configs across AI clients like Claude Code and Cursor.
This repository provides a LangChain client for the Model Context Protocol, enabling seamless connection to MCP servers. It converts MCP tools for use with LangChain, facilitating dynamic conversations.
This repository provides a Blightmud plugin that implements the MUD Client Protocol v2.1, supporting packages like client reporting, external MOO editing, and status bar updates. It also supports the early
Witsy is a desktop AI assistant that supports various LLM providers like OpenAI, Ollama, Anthropic, and more, allowing users to utilize chat completion, vision models, and text-to-image/video generation with their
MCP server for Telegram Client API (MTProto)
Plux: AI-powered filetree that lets you grab files with one click and save insights in a built-in notepad. Reduce copy-paste friction, boost productivity. 🐙
This Rust crate provides a client implementation for the Model Context Protocol, enabling structured communication between language models and external tools with async/await support and capability negotiation. This Rust crate
This repository provides an example client implementation using the Vercel AI SDK and Model Context Protocol SDK to streamline LLM chat interactions within a browser environment, including tool discovery and usage.