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Basic information
Next-Generation AI Reasoning Framework for Scientific Research
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"NexusMind-2.0": {
"command": "python",
"args": [
"src/asr_got_reimagined/main.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
NexusMind is an intelligent scientific reasoning framework that leverages a Neo4j graph database and the Graph-of-Thoughts approach to perform complex research tasks. It implements the Model Context Protocol (MCP) to integrate with AI applications such as Claude Desktop, providing an Advanced Scientific Reasoning Graph-of-Thoughts (ASR-GoT) engine for researchers and developers.
Clone the repository, install dependencies with poetry install, configure config/settings.yaml, then run the development server via uvicorn asr_got_reimagined.main:app --reload at localhost:8000. For Docker deployment, use docker-compose up --build. The MCP endpoint is POST /mcp and health check is GET /health.
NexusMind is an MCP server that uses a Neo4j graph database and Graph-of-Thoughts for scientific reasoning, unlike standard LLM-based tools. It implements the Model Context Protocol for integration with Claude Desktop and other MCP clients.
Python 3.11+, Poetry, Docker and Docker Compose (optional), and a running Neo4j instance with the APOC library installed. The provided Docker Compose files include Neo4j with APOC pre-configured.
Run `docker-compose up --build` for development or `docker-compose -f docker-compose.prod.yml up --build -d` for production. The API will be available at `http://localhost:8000`, with Swagger docs at `/docs`.
Currently, each query is processed independently; the `session_id` identifies a single query-response cycle but does not persist graph state between calls. Persistent sessions are a planned future enhancement.
Transport is HTTP via FastAPI. The MCP endpoint is `POST /mcp`. Authentication details are not specified in the README; configuration is handled through `settings.yaml` or environment variables.
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