A tool for querying and analyzing materials data from the Materials Project database using natural language prompts, enabling materials scientists to explore properties, structures, and compositions of materials through conversational interfaces.
Enables geospatial analysis by chaining MCP tools that resolve areas, select datasets, pull statistics, and generate insights, with session state passing data between tools.
A hosted Model Context Protocol server that connects AI agents to a project-scoped growth workspace, exposing tools for project knowledge, analytics, research, planning, media generation, drama intelligence, and skill sync.
Enables MCP clients to query the Open Science Framework for public research project metadata, abstracts, and component listings using OSF project IDs or URLs.
Enables project-based auto-research by tracking evidence across a Problem × Evidence Matrix, grading evidence quality, and honestly reporting insufficient evidence rather than hallucinating.
The Materials Project MCP Server is server that provides programmatic access to the Materials Project database. It enables LLMs, to search, analyze, and retrieve up to date materials science data.
An MCP server that detects duplicated research directions and probes blind spots before committing to a project, helping researchers avoid wasted effort.
An MCP chatbot server that answers questions about a Reinforcement Learning graduate project by dynamically selecting and calling structured tool functions to retrieve precise project data, including training rounds, hyperparameters, and infrastructure details.
A demo MCP server for research project management that enables document ingestion, information extraction, project tracking, and report generation through MCP tools.
AI-powered MCP server for analyzing pinuy-binuy (urban renewal) real estate projects in Israel. Provides tools to evaluate building demolition/reconstruction projects, tenant rights, compensation calculations, and project feasibility.
Provides AI assistants with access to Taiwan's PCCES database for querying construction project items, standard resource codes, and decoding work item codes.
An educational MCP server that wraps the Materials Project API, exposing tools to search chemical systems, get material summaries, find semiconductors by band gap, and retrieve crystal structure facts.