Perplexity
Perplexity AIAn answer engine that cites what it used.
Searches Hugging Face models and datasets and returns metadata: task, licence, downloads, and the card text. The useful workflow is the decision before the download — does this model have the licence and the…
Looking up model cards and dataset metadata before choosing a model
Downloading weights — that is a deployment step, not a lookup
Searches Hugging Face models and datasets and returns metadata: task, licence, downloads, and the card text. The useful workflow is the decision before the download — does this model have the licence and the size you can run. It is a research tool, not a model server.
uvx huggingface-mcpPaste this into your MCP client config, then restart the client.
{
"mcpServers": {
"avbbc": {
"command": "npx",
"args": ["-y", "uvx huggingface-mcp"]
}
}
}Reads channels and groups through the Bot API: recent messages, search, and posting. The distinction that matters is bot token versus user session — a bot sees what …
Wraps the YouTube Data API for search, channel and video metadata, and captions where available. The transcript path is the useful one for research; anything that re…
Searches subreddits and reads threads with comments through the Reddit API. It is a reasonable research input and a poor automation target: the platform's rules and …
An answer engine that cites what it used.
Paid, ad-free search with an API and no engagement optimisations.
A search assistant that lets you pick the model behind the answer.
Turns a target query into a brief someone can write from.
Record what a competitor's pricing page says today, and what changed.
One note per source, with what it claims and what it does not.