Awwwards-mcp
★ 290
vs
stashbase
★ 1.1k
Awwwards-mcp vs stashbase
Awwwards-mcp: Awwwards-mcp is a free, open-source MCP server providing AI agents with design inspiration from Awwwards, acting as a Mobbin-style visual reference loop. Agents can search award-winning websites, pull design DNA, and analyze live site structures to generate design briefs and build new projects.; stashbase: StashBase enables AI agents to search and utilize content from your local files, including PDFs, DOCX, images, audio, and video. It creates a searchable index from your folders, allowing agents to find relevant context by meaning rather than just keywords.
01
TL;DR
Awwwards-mcpRAG / Knowledge Base · ★ 290
Generate design inspiration and detailed references for new website builds
stashbaseRAG / Knowledge Base · ★ 1.1k
When to choose:
- You want a desktop app that indexes folders of PDFs, DOCX, images, audio and video and shares them with Claude, Codex and other MCP clients.
- Your files must stay the source of truth: the index can be rebuilt, and removing a folder never deletes files.
- You want exact text search with no key, and semantic search only if you opt in.
When to skip:
- Your documents cannot leave the machine and you need semantic search: it sends content to OpenAI or OpenRouter.
- You are on Linux and need official support: Linux builds are community-supported.
- You only need one file converted now and then: an MCP converter is lighter.
02
Side-by-Side Comparison
Field
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 290
★ 1.1k
License
MIT
Apache-2.0
Install Command
npm install awwwards-mcp && npm install -g playwright && npx playwright install chromium
brew install --cask liliu-z/stashbase/stashbase
Updated
2d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agents, Design Inspiration, Web Scraping
Local Files, RAG, AI Agents
03
Features
01Search award-winning websites by various filters or free-text queries
02Extract full design DNA of a site, including color palette, tech stack, and awards
03Generate cited design briefs from selected reference sites and project goals
04Analyze the section band map and structure of any live or local web page
05Record short motion videos of live URLs to capture animations and interactions
01Extracts searchable text from various formats including PDFs, DOCX, images (OCR), audio, and video (transcription).
02Semantic search capabilities to find relevant context by meaning, supported by an AI Index.
03Connects and shares searchable context across Claude, Codex, and other MCP clients and built-in agents.
04Maintains local files as the source of truth, with indexes and derived data stored separately.
04
Use Cases
↳Generate design inspiration and detailed references for new website builds
↳Create comprehensive design briefs based on shortlisted award-winning sites
↳Analyze and compare the page structure and motion of live websites for design verification
↳Recreate existing websites with pixel-perfect accuracy using detailed analysis tools
↳Providing AI agents with searchable access to research papers and contracts stored locally.
↳Enabling chatbots to answer questions based on internal documentation, scanned documents, and recordings.
↳Developers wanting to query project design documents and architecture notes using a built-in AI agent.
↳Organizing and searching personal knowledge bases that primarily consist of diverse local file types.
05
Best For
—
Trending
FAQ
FAQ
What is the difference between Awwwards-mcp and stashbase?
Both Awwwards-mcp and stashbase are in the RAG / Knowledge Base category. Awwwards-mcp has 290 stars, while stashbase has 1.1k stars.
Which is better, Awwwards-mcp or stashbase?
The best choice depends on your use case. Choose Awwwards-mcp if Generate design inspiration and detailed references for new website builds, and stashbase if Providing AI agents with searchable access to research papers and contracts stored locally..
Is Awwwards-mcp free or open source?
Yes, Awwwards-mcp is open source on GitHub (MIT).
Is stashbase free or open source?
Yes, stashbase is open source on GitHub (Apache-2.0).
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