saptadey/adaptive-graph-of-thoughts-mcp-server

Deployment & DevOps

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Repository Install

LLM Reasoning Framework for Scientific Research

Обзор

Leveraging graph structures to transform how AI systems approach scientific reasoning Adaptive Graph of Thoughts (AGoT) is a that implements the framework. It uses a as a dynamic knowledge store and exposes reasoning capabilities through the , enabling seamless integration with AI assistants like Claude Desktop. The 8-stage reasoning pipeline transforms a raw question into a comprehensive, evidence-backed answer stored in the knowledge graph: The Neo4j knowledge graph captures the reasoning structure as a rich connectome — nodes represent concepts, hypotheses, and evidence, while edges represent semantic and logical relationships: Visit http://localhost:8000/docs for the interactive API documentation. Before running Adaptive Graph of Thoughts (either locally or via Docker if not using the provided docker-compose.prod.yml which includes Neo4j), ensure you have: - : Adaptive Graph of Thoughts requires a connection to a Neo4j graph database.

README

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🧠 Adaptive Graph of Thoughts

🔍 Overview

Adaptive Graph of Thoughts (AGoT) is a high-performance MCP server that implements the Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) framework. It uses a Neo4j graph database as a dynamic knowledge store and exposes reasoning capabilities through the Model Context Protocol (MCP), enabling seamless integration with AI assistants like Claude Desktop.

Key Highlights

Feature	Description
🧠 Graph-Based Reasoning	Multi-stage pipeline with 8 specialized reasoning stages
📊 Dynamic Confidence Scoring	Multi-dimensional evaluation with uncertainty quantification
🔬 Evidence Integration	Real-time connection to PubMed, Google Scholar & Exa Search
⚡ High Performance	Async FastAPI with Neo4j graph operations
🔌 MCP Protocol	Native Claude Desktop & VS Code integration

Открыть полный README на GitHub

Установка

docker run -p 8000:8000 -v $(pwd)/config:/app/config adaptive-graph-of-thoughts:latest

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Конфигурация

{
  "mcpServers": {
    "adaptive-graph-of-thoughts": {
      "command": "python",
      "args": ["-m", "adaptive_graph_of_thoughts.main"],
      "cwd": "/path/to/Adaptive-Graph-of-Thoughts-MCP-server",
      "env": {
        "NEO4J_URI": "bolt://localhost:7687",
        "NEO4J_USER": "neo4j",
        "NEO4J_PASSWORD": "your_password",
        "MCP_TRANSPORT_TYPE": "stdio"
      }
    }
  }
}