"Tools or methods for generating 3D assets" matching MCP servers:

Enforces consistent, governed asset selection for Claude by providing tools for search, retrieval, transformation, and governance of icons and brand assets.

An MCP server that enables interaction with Adobe Experience Manager (AEM) Assets through the Author API. It allows users to browse folders, search for assets, retrieve detailed asset information, and perform bulk metadata updates using natural language.

An MCP server that provides utility tools for markdown processing, including ADF-to-markdown conversion, table formatting, and table of contents management.

Provides MCP-compatible AI clients with full access to a Flarum forum's API, enabling reading, searching, creating discussions, replying, moderation, and management of users, tags, and groups.

Provides AI-powered tools to apply UX/UI best practices, Nielsen's heuristics, cognitive biases, and Material-UI patterns to React components. Enables automated application of responsive design, Apple design patterns, and complete UX guidelines through natural language commands.

A collection of simple, practical MCP servers that require zero configuration, enabling web search via DuckDuckGo (no API key needed) and management of Hexo blogs through AI.

An MCP server that provides tools for analyzing, linting, formatting, and generating Markdown content. It enables users to programmatically manage Markdown files through features like table of contents generation, statistics calculation, and JSON-to-table conversion.

Provides MCP servers to interact with WordPress sites via REST API, supporting multiple sites and aggregated tools.

Helps design, validate, and generate Adobe Experience Manager Assets API request plans for integration work, including upload, folder management, and metadata sync.

mcp using PyPDF2 to: • merge-pdfs • extract-pages • search-pdfs • merge-pdfs-ordered (merge in user spec. order) • find-related-pdfs (regex extracted text for related PDF files)

A TypeScript implementation of a Model Context Protocol server that provides marketing tools based on Open Strategy Partners' methodologies, enabling content creation, optimization, and product positioning through tools like value map generation, meta information creation, and content editing.

Word document reading and writing MCP implemented in Node.js

Provides AI agents with ground-truth knowledge of Strapi projects by reading real schema files, enabling accurate queries and safe refactoring operations.

A free WordPress plugin that turns your site into a governed MCP server, exposing 153 curated WordPress abilities (posts, media, users, WooCommerce, ACF, SEO) as tools for AI agents like Claude and Cursor. Every ability is off by default, scoped to a least-privilege user, capability-gated, and logged.

A local MCP server that bridges Claude Desktop to your WordPress site via the WordPress MCP Adapter. It dynamically discovers and proxies all tools, resources, and prompts registered through the WordPress Abilities API.

A Model Context Protocol server for accessing NovaCV resume services API, enabling users to generate PDF resumes, analyze resume content, convert resume text to JSON format, and get available resume templates.

MCP server for AI-assisted WordPress editing across 12 page builders. 172 tools for content management, page builder editing, WooCommerce, SEO analysis, accessibility scanning, and site intelligence. Edits native builder formats (Elementor, Bricks, Divi, Gutenberg, Beaver Builder, and 7 more) with duplicate-before-edit safety, optimistic locking, and surgical element-level operations

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.

Enables Claude to interact with a document processing backend, providing tools for listing, retrieving, uploading, and processing documents, as well as resources for pending documents and statistics.

An MCP server that provides integration with Jira and Confluence for managing issues, boards, sprints, and documentation pages. It is specifically designed for native deployment on Heroku to enable AI models to interact with Atlassian resources using standardized tools.