A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
0 ★ · Pexafy/pexafy-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository Pexafy/pexafy-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals
Ask for a photo the way you would describe it to a person. Get real, free-to-use
Ask. Choose together. Put them to work. 🗣️ Ask, in your own words Tell your assistant what you are working on, the way you would tell a colleague: *“I'm writing a short article about Kyoto in autumn. Find photos of a temple garden with red maple leaves.”* It writes the search; Pexafy matches the scene, not tags. 🤝 Choose together Sixteen photographs come back. Open one large, swipe, heart the keepers, press **≈** for more like it: your picks go back to the assistant, **in your order**. Or simply answer in words: *“the third one, but wider”*. 🚀 Put them to work The assistant carries on with them: the article with its photos in place, the slide, the landing page, the post. Each photograph keeps its licence and the credit line to display, and comes as an **image file** when the work needs one. With the grid, or without it | In a chat that draws it | In an agent, a terminal or a script | |---|---| | **ChatGPT, Claude, VS Code, Cursor.** The photographs appear as a grid in the conversation. You see them, open them, like them; the assistant works from what you picked. | **Claude Code, Codex, any MCP client.** Each result arrives as a link with its licence and credit line. The assistant chooses, fetches the file and places it in your Markdown, HTML, slides or CMS. | Add it in 30 seconds | Where | How | |---|---| | **VS Code** | Install in VS Code, or code --add-mcp '{"name":"pexafy","type":"http","url":"https://mcp.pexafy.com/mcp"}' | | **ChatGPT** | Add Pexafy from ChatGPT's plugin directory | | **Claude** | *Customize → Connectors → Add custom connector*, then https://mcp.pexafy.com/mcp | | **Claude Code** | claude mcp add --transport http pexafy https://mcp.pexafy.com/mcp | | **Cursor** | Add to Cursor | | **Any MCP client** | Streamable HTTP at https://mcp.pexafy.com/mcp | **Nothing to install, no API key to paste.** In VS Code, Cursor and other editors you can search right away, without an account. ChatGPT and Claude ask you to sign in to Pexafy once; a free account is enough. Five tools, all read-only | Tool | What it does | |---|---| | search_photos | Photographs described in one sentence, in any language, optionally only landscape, portrait or square. | | search_photos_by_image | Photographs that look like a picture (a link, an upload) or like a Pexafy photo: *“like this, but at night”*. | | get_photo_file_by_photo_id | One photograph as an image file, up to 1280 px wide, with its credit line. | | get_grid_selected_photos | The photographs you liked in the grid, in the order you chose. |