"Understanding File Systems" matching MCP servers:

Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.

An MCP server that enables MCP clients to directly access and process arXiv papers by fetching the LaTeX source, improving mathematical content understanding.

Provides structured behavioral analysis grounded in Panksepp's affective neuroscience and pattern matching to understand human intent and behavior through primary emotional systems and transition dynamics.

Enables read-only analysis of local unstructured documents by scanning a folder, extracting text and structural metadata, and passing content with truncation and error-awareness to an LLM for summarization.

Enables reading and understanding NetCDF files, providing tools to inspect structure, variables, metadata, and data quality for scientific datasets.

An MCP server providing access to XRootD file systems, allowing LLMs to browse directories, read file metadata, and access contents via the root:// protocol. It supports advanced features like campaign discovery, file searching, and ROOT file analysis for scientific data management.

An MCP server that exposes numerical and mathematical methods (root finding, integration, differentiation, ODEs, Monte Carlo, dynamic systems) as tools for LLM agents to call directly from chat clients.

Model Context Protocol server for accessing Reactome pathway and systems biology data.

A comprehensive Model Context Protocol server for accessing Gene Ontology (GO) data, enabling AI systems to perform ontology-based analysis, gene annotation research, and functional enrichment studies.

Automates competitive research for startup ideas by executing a 7-step pipeline including idea understanding, competitor discovery, profile extraction, feature comparison, market gap analysis, innovation scoring, and report generation.

Enables natural language conversion of production and queueing systems into Petri net models, with simulation and PNML export via MCP tools.

An MCP server that provides a toolbox for interacting with EPA SWMM stormwater models, enabling users to analyze model data and interpret results through LLM-driven tools. It assists stormwater modelers in understanding hydraulic systems and modeling behavior using natural language interfaces.

A high-performance MCP server for the USPTO Patent File Wrapper API with context reduction, smart field mapping, and secure browser-accessible downloads.

An MCP server that provides AI assistants with advanced document perception capabilities including text extraction, structure analysis, and deep content understanding through multiple tools and providers.

Enables formal logical reasoning, mathematical problem-solving, and proof construction across 11 logic systems including propositional, predicate, modal, fuzzy, and probabilistic logic. Integrates external solvers (Z3, ProbLog, Clingo) for advanced reasoning, with support for proof storage, argument scoring, and cross-system translation.

Enables AI agents to screen and filter stock universe, compute custom quality scores, inspect score history, manage scoring systems, and generate shareable screen links, acting as the signed-in user.

A production-quality multi-agent research system with an arXiv MCP server and LangGraph-based research agents, providing search, details, and cached summaries via SQLite.

Provides access to 73 CDC public health datasets covering disease surveillance, vaccination tracking, behavioral risk factors, environmental health, and outbreak detection across 18 surveillance systems through the Socrata Open Data API.

Chomps through any document, parsing 36+ file formats for AI systems like Claude.

Enables AI hosts to design and simulate complex adaptive systems, including managing agent types, running simulations, and analyzing emergent behavior, feedback loops, and sensitivities.