"General information or resources about art" matching MCP servers:

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Enables time series analysis following Box-Jenkins-Treadway methodology, supporting guided or autonomous modes for model identification, estimation, and diagnosis via an LLM.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Provides access to Canadian federal parliamentary data (debates, bills, MPs, votes, Hansard transcripts) and legal information (case law and legislation through CanLII) for research and analysis.

Self-hosted MCP toolkit providing web search, Wikipedia, and arXiv access without mandatory API keys, delivered as a Docker Compose bundle.

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.

Track how your brand appears in AI-generated answers across ChatGPT, Perplexity, and other AI models. Analyze visibility, sentiment, citations, and domain rankings with 31 tools — including analytics reports, chat inspection, query analysis, and full CRUD for brands, prompts, tags, and topics.

Enables AI assistants to work with the Kaggle API locally over stdio, covering competitions, datasets, kernels, models, benchmarks, and discussions — including discussion search, solution write-ups, and trending topics missing from the official remote server.

Enables AI assistants to inspect and extract data from local CSV, TSV, JSONL and log files far larger than available RAM, using bounded memory, crash-resilient resumable runs, and streamed progress. All file access is confined to user-approved directories, keeping the data private to the machine.

Enables agents to build, validate, calibrate, and export versioned scientific models with mandatory units, dimensional and numerical checks, and uncertainty analysis over stdio. Models can be simulated and exported to portable formats such as SBML, CellML, and Modelica.

Orchestrates sequential debates between multiple AI models across four phases (constructive, challenge, closing, synthesis) with host intervention and anti-sycophancy enforcement.

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.

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.

MCP server that answers questions about creator marketing, influencer pricing, and app growth using a curated corpus of operator quotes with links, and explicitly flags when evidence is thin or absent.

MCP server to ask research questions about real-world datasets and get actual database records back, with auto-registration and trial credit.

Provides AI assistants with access to University of Alabama at Birmingham's Research Computing documentation, enabling users to search and retrieve information about the Cheaha HPC cluster, SLURM job scheduling, storage systems, and available software tools.

Vedic astrology MCP server providing 6 tools: horoscope predictions (200+ life aspects), compatibility match reports with Kuta scoring, Chaldean numerology, raw planet and house chart data, 24 general astro properties, and Ashtakvarga charts. Free tier included with no API key required, premium unlimited tier also available

LinkedIn prospect intelligence inside Claude. It automates the research behind outreach, not the sending: scrapes posts, profiles and comment threads into a local SQLite database, classifies what a person or company actually posts about, mines comment threads for people already describing your problem, and surfaces uncommon commonalities worth opening with.

Lets an AI agent ask real humans a question when the web genuinely has no answer, and get verbatim replies back with a respondent count. Built for the moment an agent is about to say "you should validate this with real users". Remote MCP, plain POST, or a single GET. No signup, no API key.