"Information about Poliglon (material or product)" matching MCP servers:

Exposes procedural material and isometric terrain generation as MCP tools, allowing agents to create deterministic PBR textures and 2:1 isometric tiles from JSON recipes.

Enables an AI agent to discover Material Maker nodes, validate and build procedural material graphs through an undoable batch, and compare real 3D previews and labeled PBR maps returned as images. It also runs bounded parameter sweeps that restore the source state, and exports maps with manifests listing filenames, channels, sizes, hashes and changed-file state.

Enables AI assistants to search and retrieve structured video material, including dialogue, jokes, story structure, and video details through natural language queries.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

Provides a memory server for coding agents over MCP, capturing and retrieving the meaning and rationale behind code decisions down to the function level. It enables agents to search product memory, get task context, and propose new memories to avoid re-deriving or re-breaking past decisions.

Enables managing software delivery from intake through stabilization via an evidence-gated hierarchical state machine, with tools for transitions, work items, blocking, resuming, and status rendering.

An MCP server that automates importing products from AliExpress, Alibaba, and Accio into DSers and pushing them to Shopify or Wix stores, with features like bulk import, pricing rules, and title cleanup.

Enables triaging product feedback over a local dataset, including search, theme clustering, severity tagging, and drafting PRD-ready problem statements.

Enables product search functionality via MCP, allowing Claude to search products by keyword with filters, list categories, and retrieve product details.

Provides a governed analytics layer over synthetic product data, exposing MCP tools for investigating product metrics, slicing by dimensions, and comparing periods while preventing unrestricted SQL access.

Klarna-style product discovery for AI shopping agents. Makes product catalogs machine-readable so AI agents can search, compare, and purchase products programmatically.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables searching and retrieving documentation from MkDocs Material-powered sites.

Automate AliExpress/Alibaba dropshipping product import to Shopify or Wix via DSers. 7 tools for bulk import, variant editing, pricing rules, and multi-store push.

Enables AI agents to discover, request access to, and query data products in Data Mesh Manager, enforcing governance policies while retrieving business data from platforms like Snowflake and Databricks.

A basic MCP server setup guide demonstrating how to configure and run Python-based MCP servers with integration examples for Bright Data web scraping and Apify Actors for product data collection.

Enables querying the Health Canada Drug Product Database for information on approximately 47,000 approved drugs, including human pharmaceuticals, biologics, veterinary drugs, radiopharmaceuticals, and disinfectants.

Enables users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

Enables beginner Amazon India sellers to research product opportunities, estimate demand, analyze competition, calculate profitability, find suppliers, mine reviews, research keywords, and generate listings through Claude Desktop.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.