"Web resources for finding art-related opportunities" matching MCP servers:

Enables AI agents to search and retrieve opportunities from the Opportunities Circle catalog, including scholarships, fellowships, internships, grants, jobs, and more. Supports filtering by type, country, funding, and tags, with full details and official apply links.

MCP server for searching museum collections and viewing artwork images and metadata from multiple museums, including the Met, Art Institute of Chicago, Rijksmuseum, and more.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

Enables searching the Metropolitan Museum of Art collection by subject, artist, or keyword, retrieving detailed artwork information, and listing curatorial departments via natural language.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Art-tourism data for AI agents: biennales, art fairs, museum essentials with 2026 prices, opening hours, and sequenced routes.

Enables reading and sending messages in Google Messages for web through a paired Chrome tab using chromefile, with tools for status, listing conversations, reading message history, and sending texts.

An MCP server that provides tools for retrieving ASCII and Unicode art from a local database, including search, random selection, and category listing.

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

An MCP server that generates pixel-art PNGs from text prompts, using a free image backend, and saves them directly to your project directory.

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

Provides AI agents with tools to manage and enforce consistent pixel-art style for 2D RPG games, including style definitions, asset registry, art memory, QA checks, provider execution, and versioning.

Enables AI agents to discover and invoke native ArtCraft application capabilities over stdio MCP, creating and editing documents, saving editable projects, and exporting deliverables across supported apps.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Pixel art tools for local images: turn photos into pixel art with median-cut colours or palettes like PICO-8 and Game Boy, extract .gpl palettes, recolour sprites and upscale without blur.

Enables searching and retrieving details from the Harvard Art Museums collection.

Enables agents to generate local SDXL pixel art assets from text prompts, run batch manifests, list generated assets, create spritesheets, and export Phaser atlas JSON through MCP tools.

Enables Claude and other MCP clients to create and edit vector artwork inside a running Graphite editor, turning SVG into fully editable native layers and supporting export, styling, transforms, selection and layer management. Every operation is delivered as a regular editor message, so undo, selection and the Layers panel behave exactly as with manual edits.

Enables any MCP client to turn layered PSD artwork into game-ready Spine packages by inspecting and classifying layers, rigging with meshes, bones, weights, IK, physics and animation, applying procedural or After Effects-driven FX, and running runtime and mobile-budget validation with preview output. It finishes by exporting the final .spine, JSON and atlas assets so a model can drive a full art pipeline without hand-authoring rig data.

Provides coding agents with local tools to inspect project UI inventories, propose and compare visual direction boards, compile versioned design contracts and DTCG tokens, retrieve section-specific blueprints, and audit running interfaces with browser evidence including screenshots, accessibility findings, and overflow measurements.

Enables agents and Blender users to generate game-ready art through a set of Blender tools covering concept image generation, image-to-3D mesh creation, mesh cleanup, PBR material assignment, greybox level layout, camera pathing and still or sequence rendering. Every action runs headless Blender, returns machine-readable JSON with pass/fail self-checks such as triangle budget, scale, pivot and clearance, so agents can verify and fix each step unattended.

Ascii Art AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables AI coding agents to create, draw, and refine Aseprite documents through deterministic canvas, layer, frame, tag, and palette tools, with pixel analyzers, style validation, and preview/diff visual feedback. It also supports spritesheet and animated GIF export, producing multi-layer game-ready assets.

Enables creation of text-based visual elements including bordered boxes with shading, formatted tables, and diagrams using Unicode box drawing characters and ASCII art palettes for terminal output, documentation, and chat interfaces.

Enables Codex to send text tasks to ChatGPT web, await responses, continue conversations, choose reasoning effort, and manage projects through MCP tools on macOS.

MCP server that lets AI editors execute JavaScript, read console output, and simulate clicks/input on static web pages. Supports multiple browser pages and can be deployed remotely via HTTP transport.

MCP server providing free, IP-direct tools for web search, crawling, anti-detect browsing, and structured data from Wikipedia, Wikidata, GitHub, and YouTube.

Enables a locally-run LLM to search the web, fetch pages as markdown, make arbitrary HTTP requests, and optionally render pages with headless Chromium.

Gives AI agents local web search and page reading with no API keys, layering a SearXNG-backed search cache with browser-based fallbacks and returning clean page text from HTML, PDF, JSON, and archived snapshots. Fetches run in Docker alongside the search engine with SSRF protection, egress filtering, and untrusted-content marking so agents can safely retrieve live web data.