3. Data, Science & AI

Graph-RAG knowledge system enabling semantic search, task management, and persistent knowledge capture across sessions.

Provides a bridge for advanced multi-step reasoning via DeepSeek's model, delivering structured Chain-of-Thought outputs for complex problem-solving.

Executes geospatial analysis, coordinate transformations, and geoprocessing operations via QGIS for spatial data tasks.

Generates AI images and videos via ComfyUI's node-based workflow using Stable Diffusion and FLUX models on local or distributed GPU compute.

Simulates electronic circuits and performs SPICE analysis using the ngspice MCP tool for electrical engineering design validation.

Enables creation, execution, and analysis of Jupyter notebooks with full cell manipulation for data science and AI workflows.

Automates intelligent parsing and migration of markdown content into structured ontologies with validation, enrichment, and web integration.

Enables comprehensive spreadsheet creation, editing, and data analysis with formula handling and visualization capabilities.

AI orchestration server enabling multi-model collaboration for code reviews, debugging, planning, and advanced reasoning across providers like OpenAI and Gemini.

Validates, enriches, and maintains ontology files for OWL2 compliance using Perplexity API for AI-enhanced semantic data processing.

Validates SQL query operations on JSON data, ensuring correct execution and output formatting for web search results.

Flattens a nested collection of notes into a single note for simplified data organization and quick access.

Executes actions in ScienceWorld simulation, returning observation, reward, and completion status using the active session.

Performs frontier-directed exploration in robotics by selecting the farthest reachable position and navigating to it using basic movement primitives.

Extracts complete text content from URLs or base64 PDFs, auto-detecting formats (PDF, HTML, MD, TXT) and handling collections.

Tests the ORDER BY sorting primitive for JSON data within SQL contexts.

Converts individual note structures into organized collections for efficient data management and retrieval.

Extracts named entities, topics, and relationships from text or structured content for data analysis and knowledge extraction.

Validates the INNER JOIN SQL primitive for correct data integration in database operations.

Tests JSON-formatted filter structures used in SQL WHERE clauses for data query validation.

Filters data collections using SQL WHERE clause syntax for precise field-based data extraction and manipulation.

Compares two notes or collections to identify semantic relationships, similarities, and differences through natural language processing.

Tests SQL primitives on JSON data extracted from Semantic Scholar API outputs for academic research data validation.

Extracts structured metadata (title, authors, year) from academic paper text using LLM, converting unstructured search results to JSON.