Flickr Alternative MCP. Search photos and extract metadata from Flickr.
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…and any MCP-compatible client
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Flickr Alternative. Search, discover, and get deep metadata from the Flickr photo community. Use the `search_photos` tool to find images via tags or text.
Pull detailed info (titles, camera specs) using `get_photo_info`. It also lets you list entire photo albums (`list_photosets`) or pull user profiles (`get_person_info`).
What your AI agents can do
Get person info
Gets basic profile information for a specified Flickr user.
Get photo info
Retrieves detailed metadata, including camera specs and description, for a single photo.
List photosets
Lists all public photo albums (photosets) belonging to a specific user.
You can find photos by passing tags, text strings, or date ranges to the search_photos tool.
The get_photo_info tool pulls the title, description, and technical specs for any public photo ID.
Use list_photosets to retrieve a list of all public albums associated with a given user.
The get_person_info tool fetches core statistics and location data for a specific Flickr user.
The test_echo tool validates connectivity by returning all parameters you passed to it.
Ask AI about this MCP
Supported MCP Clients
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Flickr Alternative MCP Server: 5 Tools for Photo Discovery
These five tools allow your AI client to search, list, and extract deep metadata from the Flickr photo community.
019e5d1aget person info
Gets basic profile information for a specified Flickr user.
019e5d1aget photo info
Retrieves detailed metadata, including camera specs and description, for a single photo.
019e5d1alist photosets
Lists all public photo albums (photosets) belonging to a specific user.
019e5d1asearch photos
Searches the Flickr library for photos using keywords, tags, or location data.
019e5d1atest echo
Returns all parameters you send to the tool, useful for verifying API calls.
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What you can do with this MCP connector
Yo, this's the deal with the Flickr Alternative MCP Server. You connect your AI client, and suddenly you're pulling deep metadata and photos from the whole Flickr community. You can find images by tossing tags, text, or even date ranges into the search_photos tool. You wanna know the scoop on a specific photo? Just run get_photo_info; it'll yank the title, description, and technical camera specs for any public photo ID.
Wanna check out a user's work? You can use list_photosets to get a list of all their public albums. You can also grab core stats and location data for a specific user by running get_person_info. Need to test the connection first? Just use test_echo and it'll spit back all the parameters you sent it, so you know the API calls are legit.
You're always in control of what your agent does here.
How Flickr Alternative MCP Works
- 1 Subscribe to the server and enter your Flickr API Key.
- 2 Your AI client sends a request specifying the required action (e.g., 'Search photos of mountains').
- 3 The agent executes the tool (e.g.,
search_photos) and passes the parameters, returning structured photo data.
The bottom line is, your AI client connects to Flickr using your API key to run specific photo operations.
Who Is Flickr Alternative MCP For?
Anyone who needs to build applications around visual media data. This is for researchers gathering geographic visual data, content creators looking for visual inspiration, and developers building image-centric tools. If your app needs to know what's in a photo or who took it, you need this.
Uses the search_photos tool to gather visual evidence and metadata for specific geographical coordinates or time periods.
Employs search_photos with specific tags to build mood boards and find reference images for client campaigns.
Tests API connectivity and data flow by using test_echo or by pulling structured data using get_photo_info.
What Changes When You Connect
- Find specific visual content: Use
search_photosto locate images based on tags, free text, or date ranges, instead of browsing manually. - Get deep image context:
get_photo_infodoesn't just give you a photo; it delivers the title, user, camera model, and view count. - Map user content:
list_photosetslets you pull a full roster of public albums for a user, giving a quick overview of their collection. - Understand the source:
get_person_infoprovides user stats and locations, giving context to the content found viasearch_photos. - Validate connectivity: Use
test_echoto quickly check if your agent can communicate with the API before running complex queries.
Real-World Use Cases
Finding historical visual data for a region
A researcher needs photos of the Brooklyn Bridge from 1998. They ask their agent to run search_photos using the location bounding box and the year 1998. The agent returns a list of photo IDs, which they then feed into get_photo_info to collect the full metadata record for analysis.
Gathering inspiration for a client campaign
A content strategist wants images of 'industrial architecture' in the Pacific Northwest. They instruct their agent to use search_photos with the tag 'industrial' and the location 'PNW'. The agent pulls results and provides the top 10 photo IDs, ready for review.
Analyzing a user's entire portfolio
A developer wants to know everything a user has published. They first run list_photosets on the user ID to get all album names, then use search_photos to pull the most recent image from each album for a summary.
Building a photo-metadata database
A data scientist needs to build a structured database of image data. They run get_person_info to identify key users, then iterate through list_photosets and use get_photo_info on the resulting IDs to build out the full dataset.
The Tradeoffs
Treating it like a simple search bar
Just asking the agent to 'find photos of mountains' and expecting a single, neat result. You'll get hundreds of IDs and no structure.
→
Use search_photos with specific parameters (tags, location, date) to narrow the results. If you need deep data, follow up by passing the IDs to get_photo_info.
Assuming data is always public
Trying to get details on a private photo ID. The API will reject the request, and your workflow stops cold.
→
Always verify the user's profile status first using get_person_info. If the user is private, you can't proceed with get_photo_info.
Chaining tools manually in code
Writing a complex Python loop that calls list_photosets and then manually calls search_photos for each album. This is brittle and hard to maintain.
→
Let your AI agent orchestrate the calls. The agent handles the sequence: first list_photosets, then search_photos using the retrieved data, keeping your code clean and focused on the goal.
When It Fits, When It Doesn't
Use this server if your primary goal is reading and analyzing existing visual data. If you need to query photos based on complex criteria (tags, location, date), search_photos is your starting point. If you need to know who created the content, use get_person_info or list_photosets. If you need the technical details—the camera model, the title, the description—you must call get_photo_info. Don't use this if you need to modify photos (e.g., apply a filter, crop, or save them to a different storage bucket); this server only reads data.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Flickr. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 5 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Sifting through years of photos shouldn't require manual keyword searching.
Right now, if you're researching an event, you have to manually go to the photo site, guess the right tags, and click through endless results. You'll spend time filtering by date, then by location, and then trying to remember if the user uploaded a 'caption' or 'details' field.
With the Flickr Alternative MCP Server, you tell your agent what you need—'Show me photos of the city center in 2022'. The agent runs `search_photos` and returns a clean, structured list of IDs and metadata, letting you skip the clicking and jump straight to the data.
Use `get_photo_info` to pull full photo details.
Without this server, getting the camera model or the exact description for a photo meant clicking into the photo's detail page, often losing the context of the search you originally ran.
Now, you ask for the metadata, and the agent executes `get_photo_info`. It pulls the title, the camera type, and the description, all in one shot. It's just better.
Common Questions About Flickr Alternative MCP
How do I search for photos using the `search_photos` tool? +
The search_photos tool accepts tags, free text, or date ranges. For example, you can search for photos of 'mountains' with the tag 'landscape'. The agent will process these parameters and return matching photo IDs.
What does `get_photo_info` retrieve for a photo? +
It retrieves detailed metadata, including the photo's title, description, and technical details (like the camera used). This is better than just getting the image preview.
Can I list all the albums for a user using `list_photosets`? +
Yes, list_photosets takes a user ID and returns a list of all public photosets (albums) that user created. It's a quick way to map out a user's full collection.
How do I find out more about a Flickr user using `get_person_info`? +
Use get_person_info and provide the user ID. This tool returns basic profile information, including location data and user statistics.
Is `test_echo` useful for checking the server? +
Yes, test_echo is a testing tool. It simply sends back all the parameters you pass to it, letting you verify that your agent is sending the data correctly.
How do I search for photos by location using the `search_photos` tool? +
The search_photos tool accepts geographic coordinates (latitude, longitude, or bounding boxes) so you can find photos tied to a specific area. You simply pass the required coordinates into the search parameters.
What information does `list_photosets` return about the albums? +
It returns a list of public photosets (albums) belonging to the specified user. Each entry provides the album name and a unique identifier so you know exactly what you're looking at.
Does `get_photo_info` provide technical camera details? +
Yes, get_photo_info retrieves rich technical metadata, including the camera model, lens type, and exposure settings used when the photo was taken. This is useful for photographers and researchers.
Can I search for photos within a specific geographic area? +
Yes. Use the search_photos tool with the lat and lon parameters for radial queries, or the bbox parameter to define a specific rectangular bounding box.
How do I get the username and location of a Flickr member? +
You can use the get_person_info tool by providing the user's NSID (user_id). It will return their profile details, including username, real name, and location if public.
Is there a way to verify my API key is working correctly? +
Yes, you can use the test_echo tool. It simply echoes back any parameters you send, allowing you to confirm that the connection to the Flickr API is active.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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