Commonkite: Free Image Search API, Creative Commons & CC0
Server Details
Commonkite: free-to-use CC/public-domain images with license + credit line.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- shawmena-dotcom/product-factory
- GitHub Stars
- 0
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap. The search_images tool has a single, unambiguous purpose of searching openly licensed images.
The single tool name search_images follows a clear verb_noun convention and accurately describes its function. There are no other names to conflict or create inconsistencies.
One tool is slightly thin but entirely appropriate for a focused image search API. The tool covers the core search operation without unnecessary extras, though a server with only one tool inevitably feels minimal.
The tool provides thorough coverage for its domain: keyword search across multiple sources, direct and thumbnail URLs, licensing details, commercial/edit flags, attribution text, and HTML. No obvious gap exists for an image search use case.
Available Tools
1 toolsearch_imagesSearch free-to-use images (Creative Commons, CC0, public domain)ARead-onlyIdempotentInspect
Search openly licensed images by keyword across Openverse, NASA, The Met, Art Institute of Chicago and Cleveland Museum of Art. Each result has the image and thumbnail URL, size, license name and URL, yes/no flags for commercial use, editing and required credit, and a ready attributionText/attributionHtml. Use when you need an image you are allowed to reuse. Up to 12 results.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | What the image should show, e.g. "lighthouse at night" | |
| license | No | commercial = commercial use allowed (default); commercial-modify = commercial use and editing; no-attribution = CC0/public domain only; any = include non-commercial licenses | commercial |
| max_results | No | ||
| orientation | No | any |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds valuable behavioral details: the exact sources searched, the shape of each result (URLs, size, license info, flags, attribution), and the result limit. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Four tight sentences, each carrying useful information. The main purpose is front-loaded, followed by result contents, use case, and limit. No filler or repetition of schema details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a read-only search tool with strong annotations, the description is complete: it names sources, describes return fields, states the reuse-oriented use case, and caps results. No output schema exists, but the result structure is described well enough for an agent to invoke and interpret the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 50%, so the description needs to compensate. It adds meaning for 'query' ('by keyword') and 'max_results' ('Up to 12 results'), but it does not explain the 'orientation' parameter and only indirectly hints at license filtering. This is partial compensation, not full.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('Search'), a resource ('openly licensed images'), and a defined scope across named sources (Openverse, NASA, The Met, etc.). The title and description together clearly convey the tool's function and distinguish it from general image search.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides an explicit use case: 'Use when you need an image you are allowed to reuse.' There are no sibling tools to contrast with, so no alternatives are needed, but it does not state when not to use the tool (e.g., for non-reusable images).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
search_images
Related MCP Connectors
Commonkite: free-to-use CC/public-domain images with license + credit line.
11Search images with text, reference images, or both via Voyage, with source licenses and attribution.
1Castles, fortresses, palaces and ruins worldwide: search, nearby, fame ranking, statistics. CC0.
Openverse MCP — Creative-Commons-licensed image + audio search.
Related MCP Servers
- AlicenseBqualityDmaintenanceEnables searching and retrieving images from Wikipedia Commons with detailed metadata including licenses and authors.214 npm10MIT
- AlicenseAqualityAmaintenanceFederated, license-verified search across open-access museum collections — currently The Met, Cleveland, AIC, Wikimedia Commons, and Europeana, with more being added. Strict-default-deny rights gate accepts only CC0 / Public Domain Mark, returning reuse-safe artwork with citations in three styles.5117 npm13MIT
- AlicenseAqualityBmaintenanceEnables keyless search and retrieval of millions of openly-licensed Creative Commons images and audio, with ready-to-paste attribution and license-awareness built into every result.5MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to search for images on Wikimedia Commons, returning structured metadata and a composite thumbnail grid for visual comparison.115 npm3MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.