Description

A quick easy way to look up dog breed information and compare breeds. e.g. - "@A-Z Dog Breeds, tell me about Golden retrievers" - "@A-Z Dog Breeds, show me photos of 3 popular breeds" - "@A-Z Dog Breeds, I want to get a low-energy, low-shedding, small breed of dog. Show me photos and details"

Website Preview

Screenshot of A-Z Dog Breeds website

App Screenshots

Capabilities

Works in Conversation

Publisher Intelligence

Insights and recommendations for app publishers. See how your app performs and how to improve discoverability.

Server Status dog-breeds-mcp-server v0.1.0

2
Tools
1
Resources
0
Prompts
https://dog-breeds.widgets.widget.olutely.com/mcp

Last checked: 9h ago

Server Instructions

Use the tools as a pair: call `search-for-breeds` to resolve one or more dog breed ids from breed names or structured filters, then call `display-breeds` with the returned ids to render the widget.

Technical Details
Connection Latency 774ms
30-Day Uptime 100.0%

Tools(2)

Showing 2 of 2 tools

Sorted by toolName
ToolDescriptionFlagsTestLast Tested
display-breeds
Use to render the dog breed information widget for one or more specific breed ids that were already resolved from the local dataset. This tool should usually be called after `search-for-breeds`, because search returns the canonical ids required here. The input is one or more breed ids, and the output opens the `display-breeds` widget so the user can browse photos and structured details for each selected breed inside the conversation. It is appropriate for direct breed lookups, follow-up requests to compare several matching breeds, or any case where the assistant has already decided which concrete breeds should be shown. The tool returns full breed records from the dataset, preserving input order and gracefully ignoring ids that are unknown. The widget then presents available images, breed description, group, temperaments, popularity summary, size, expectancy, grooming frequency, shedding, energy level, trainability, and demeanor. Because the widget is designed for visual presentation, prefer this tool over long textual dumps whenever the user wants to see the breeds directly. Do not call this tool with guessed ids. Resolve ids first with `search-for-breeds` unless the id is already known from earlier tool output in the same conversation.
read-only
100%Latency 475ms
4d ago
search-for-breeds
Use to search the local dog breed dataset for breeds that match one or more structured criteria before showing details in the display widget. This tool is the first step whenever the conversation needs breed ids. Call it when the user mentions a specific breed name that must be resolved to an id, such as 'Show me information about the Yorkshire Terrier', and also call it for broader discovery prompts like 'What dog breeds are easy to train?', 'Tell me some friendly small dogs', or 'Show me working breeds with high energy'. The tool supports a fuzzy `name` filter for breed names, exact matching for `group`, inclusion matching for `temperament`, and relative `high`, `medium`, or `low` filters for popularity, height, weight, expectancy, grooming frequency, shedding, energy level, trainability, and demeanor. All provided filters are combined with strict AND semantics, so every returned breed satisfies every supplied criterion. Results are deterministic, capped, and intended to guide the next tool call rather than fully answer the user on their own. Do not use this tool when the user explicitly asks for plain text only and no tool usage. Do not use it for generic dog ownership advice, medical advice, or questions that do not require breed ids. After this tool returns, choose the most appropriate returned id or ids and call `display-breeds` to render the breed information widget for the user. After calling this tool, you should usually call display-breeds to display the returned breed ids
read-only
100%Latency 498ms
4d ago

Discoverability Score

52

Fair

52 of 100 — how easily AI agents find your app

  • Description quality
    20/20
  • Example prompts
    0/20
  • Keyword coverage
    0/15
  • Tool metadata
    16/20
  • Visual assets
    5/20
  • Endpoint health
    10/10
  • Data freshness
    11/15

How to Improve

Add at least 2 example prompts. Prompt examples strongly improve app matching and click-through intent.

Increase keyword coverage (discovery + trigger) to improve retrieval for long-tail queries.

Provide a stable HTTPS logo URL (avoid connectors://) so cards render consistently across clients.

Add at least 2 screenshots that show real workflows to increase confidence and conversion.

Read the full discoverability guide →

Technical Details

Status
ENABLED
Type
AI-Powered App
Auth
Open Access
Listed on
ChatGPT
Added
April 3, 2026
Last synced
May 3, 2026
Last checked
9h ago
Version
0.1.0
Distribution
Ecosystem Directory

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