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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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    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.
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    Provides programmatic access to Material Web documentation and components for AI agents, enabling documentation search, template generation, and HTML validation.
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    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.
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    Enables AI assistants to search and retrieve structured video material, including dialogue, jokes, story structure, and video details through natural language queries.
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    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.
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    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.
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    Enables product search functionality via MCP, allowing Claude to search products by keyword with filters, list categories, and retrieve product details.
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    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.
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    Enables AI hosts to validate, write to disk, hot-reload, preview, and export single-file HTML prototypes built to the Spark OP design spec, serving them locally at 127.0.0.1:5179 by slug. Also bundles the triggering skill, spec references, templates, and CSS tokens so agents can create, revise, and hand off development-ready prototype HTML through one controlled output path.
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    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.
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    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.
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