"An explanation or resources about vectors (mathematics, physics, programming, or graphics)" matching MCP servers:

Provides 55 specialized tools for precise physics calculations and rigid-body simulations, covering mechanics, fluid dynamics, and rotational motion. It enables LLMs to perform realistic motion analysis and trajectory modeling with support for real-world factors like drag, wind, and altitude.

Enables Claude to act as a physics research assistant: explains concepts with dimension-checked equations, runs live simulations, ingests arXiv papers with verbatim citation anchoring, and audits bibliographies for fabricated references.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.

Provides GPU-accelerated scientific computing capabilities including symbolic mathematics, quantum wave mechanics simulations, molecular dynamics, and neural network training through four specialized MCP servers.

Enables physicists to perform computer algebra calculations, create scientific plots, solve differential equations, work with tensor algebra and quantum mechanics, and parse natural language physics problems. Supports unit conversion, physical constants, and generates comprehensive reports with optional GPU acceleration.

Exposes a running Igor Pro instance to MCP clients, enabling command execution, wave data reading, compilation management, and launching/relaunching Igor Pro.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

MCP server providing data analytics tools for AI agents to load, clean, analyze data, generate charts and dashboards.

Tracks buying and momentum signals for companies, such as funding rounds, senior hires, office openings, customer wins, and partnerships, with each event carrying its date.

A read-only reference server for 303 curated generative art algorithms implemented in Python (py5), spanning physics, fractals, cellular automata, shaders, and more. Agents can search by keyword, visual mood (ethereal, chaotic, crystalline…), or multi-layer artistic intent to discover algorithms, read structured summaries, and fetch bounded source snippets.

An MCP server for Meertrack that enables users to ask their AI agent about competitors' recent activities, digests, and product changes via natural language.

Resolves scholarly identifiers — DOI, PubMed ID, PMCID, ISBN, ISSN, arXiv, ADS bibcode — into clean, formatted citations in any of 10,000+ CSL styles. Returns plain text, HTML, Markdown, RIS, BibTeX, CSL-JSON, or EndNote XML for direct paste or reference manager import.

Resolves any combination of company name, domain, or LinkedIn URL into the canonical company identity (name, domain, LinkedIn URL) with confidence scores and match method.

Enables building targeted company lists from live job boards or SEC filings via the Apify actor, supporting role keywords, locations, and filing phrases.

An MCP server for executable mathematics that enables agents to construct objects, compute invariants, search for witnesses, and verify results with independently checkable evidence.

Search and harvest Korean academic literature and book bibliography metadata from the National Library of Korea Seoji OpenAPI via MCP or CLI.

Extracts people (names and titles) from a company's team, leadership, or about page given a domain. Uses Apify to crawl and return structured data, with optional filters for seniority and email inclusion.

Enables AI agents to hire real human operators for tasks requiring physical presence, human perception, or judgment, such as verification, testing, data collection, and physical-world tasks.

An MCP-native research assistant — search backend, intent-routing, and writing pipeline that carries a question through search, verification, and writing, delivering whatever research you need: quick answers, verified sources, or a finished document.

An MCP server implementing the ROBINS-I V2 framework for risk-of-bias assessment in non-randomized studies, with deterministic algorithms and full provenance. It enables users to parse study documents, specify target trial results, answer signalling questions with evidence-bound quotes, and compute or override domain judgements.