saptadey/adaptive-graph-of-thoughts-mcp-server
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LLM Reasoning Framework for Scientific Research
개요
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 |
설치
docker run -p 8000:8000 -v $(pwd)/config:/app/config adaptive-graph-of-thoughts:latest설정
{
"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"
}
}
}
}