"3D content, models, or technology" matching MCP servers:

Provides content agents with structured search over editorial guidelines, visual templates, and past post outcomes, enabling auditable proposals that cite rule IDs.

Read-only MCP server for Ghost sites that enables AI assistants to search, summarize, and read content via hybrid lexical and semantic ranking.

Stores Organizations content

Provides AI assistants with access to 102 curated UK Government technology standards, enabling context-aware recommendations for accessibility, APIs, security, cloud strategy, and more.

Read-only MCP server for a content contract layer: protocol, modules, pipelines, assets, library. 一句话 / One-liner（ZH）：给任何 AI agent 一个可校验的内容规范与资产底座——先查契约，再落笔。 描述 / Description：只读 MCP 服务器：把长内容的验收标准（协议 / 模块 / 管线 / 资产 / 馆藏）变成 agent 可调用的检索与取件工具面。10 个只读工具 + 1 个 prompt（assemble_guide）；支持 modern 2026-07-28 与 legacy 2025-11-25 双协议；零第三方依赖（Python 标准库）；无写路径。 仓库 / Repo：https://github.com/Monyeah777/NinFenz 站点

A server that leverages Cloudflare Browser Rendering to extract and process web content for use as context in LLMs, offering tools for fetching pages, searching documentation, extracting structured content, and summarizing content.

Exposes publisher journalism to LLMs and agent frameworks via search, retrieval, source grounding, and consistent citation, enabling accurate content retrieval with attribution and policy enforcement.

An MCP server implementation that enables generation of Google Ads content through Claude Code, Claude Desktop, and other MCP-compatible clients.

Enables scoped project discovery, deterministic rule and profile management, and durable automation with trigger/pause/resume/cancel and audit history for approved project contexts.

DocPull v6 is a local-first MCP server that turns public web sources into cited, versioned context packs for AI agents, RAG systems, and developer workflows. It can fetch and sync public static and server-rendered sources such as changelogs, standards, API references, OpenAPI specs, feeds, repo/package metadata, papers, filings, pricing pages, blogs, and other web sources.

MCP server for Scrapiq, providing a tool to extract clean content from URLs. It returns title, content, links, and metadata in text, markdown, or JSON formats.

Enables AI agents to ingest documentation from websites or local files and perform semantic search over the indexed content using pgvector-backed embeddings.

MCP server that fetches web pages and uses local Qwen models to answer questions about their content, with site-scoped search and map-reduce chunking for long pages.

An AI-powered documentation navigator that enables intelligent search, summarization, and exploration of SUSE, Rancher, and related open-source documentation using local or cloud AI models.

A dedicated server that wraps Google's Gemini AI models in a Model Context Protocol (MCP) interface, allowing other LLMs and MCP-compatible systems to access Gemini's capabilities like content generation, function calling, chat, and file handling through standardized tools.

Enables web search and deep research using Perplexity Sonar models through MCP clients like Cursor or Claude Desktop.

Enables language models to verify claims against a local document corpus by returning a literal supporting quote, a contradiction, or an explicit refusal when evidence is insufficient. Runs deterministically offline over local sources without network access or LLM calls.

A server that enables LLMs to interact with web pages through structured accessibility snapshots without needing screenshots or visually-tuned models.

A Model Context Protocol server that provides browser automation capabilities using Playwright, enabling LLMs to interact with web pages through structured accessibility snapshots without requiring screenshots or visually-tuned models.

Enables semantic search and contextual conversations with your Calibre ebook library using vector-based RAG technology. Supports project-based organization, multi-format book processing, and OCR capabilities for enhanced content extraction and retrieval.