Graph-of-Thought-MCP

Graph-of-Thought-MCP

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ai_chatbotdeveloper_tools

The ASR Graph of Thoughts (GoT) Model Context Protocol (MCP) server enhances AI reasoning capabilities by utilizing graph-based reasoning. Designed for advanced integrations, it suits applications like Claude desktop and API-based AI models.

ASR Graph of Thoughts (GoT) Model Context Protocol (MCP) Server

The Advanced Scientific Research (ASR) Graph of Thoughts (GoT) MCP server is a highly efficient implementation of the Model Context Protocol (MCP) that allows for sophisticated reasoning workflows using graph-based representations.

Project Overview

This project implements a Model Context Protocol (MCP) server architecture that leverages a Graph of Thoughts approach to enhance AI reasoning capabilities. It can be connected to AI models or applications like Claude desktop app or API-based integrations.

Running the Project with Docker

This project provides a multi-container Docker setup for both the Python backend (FastAPI) and the static JavaScript client. The setup uses Docker Compose for orchestration.

Exposed Ports

  • Backend (python-app): Host: 8082 → Container: 8082 (FastAPI server)
  • Client (js-client): Host: 80 → Container: 80 (nginx static server)

Build and Run Instructions

  1. Build and start all services: Run docker compose up --build to build and start the containers.
  2. Access the services:

Integration with AI Models

This MCP server can be integrated with Claude desktop application, API-based integrations with AI models, and other MCP-compatible clients.