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Muhammad Adnan’s AIMarketly is a searchable directory for discovering AI and developer resources, including tools, skills, MCP servers and prompts. Adnan’s September 29, 2026, article frames the project around a common problem: finding the right resource has become harder as products and categories multiply, while directories can be difficult to navigate too.
What AIMarketly is designed to do
Adnan describes AIMarketly as an independent directory intended to help people discover and compare resources without searching across dozens of websites. In his words, the goal is to “Make it easier to discover and compare useful AI resources without searching through dozens of different websites.” That is the project’s stated aim, not a measured outcome or an independently tested comparison.
The underlying problem, as Adnan puts it, is that “the problem isn’t finding an AI tool anymore — it’s finding the right one.” A searchable catalog can give developers and marketers a starting point for exploring options across several related areas.
What kinds of resources it covers
Adnan says the directory spans AI tools, AI skills, MCP servers, prompts, developer tools, and automation and productivity resources. The article describes browsing by category and gives examples of the kinds of resources relevant to different users.
| Audience or task | Examples named by Adnan |
|---|---|
| Developers | AI coding tools, MCP servers, developer assistants, APIs, AI frameworks and code-review tools |
| Marketing | Content generation, SEO, social media, image generation, video generation and marketing automation |
These are categories and use cases described in the article; it does not independently establish that every example is currently listed or provide ranked recommendations.
How to use a directory without treating it as a verdict
A listing can help narrow a broad search, but the article does not report head-to-head testing or user research. Use the directory as a discovery aid, then check details that matter to your decision on the provider’s own site.
- Start with the task. Define what you need to accomplish—for example, code review, an MCP connection, or social content creation—rather than choosing from a broad label such as “AI tool.”
- Browse the relevant category. Look for resources aimed at the task and audience you identified.
- Compare fit. Consider the task addressed, required integrations, and how much current detail the listing supplies. The article does not describe a standardized comparison method.
- Verify consequential claims. Confirm current capabilities, compatibility, terms and other decision-critical details on the provider’s own page before adopting a resource.
What the 40K+ headline means—and does not establish
The article’s headline uses “40K+” as a scale claim. The search-result listing associated with it displayed project-reported figures of 21,000+ AI tools, 11,000+ AI skills, 12,000+ MCP servers and 2,000+ prompts, alongside a total of 40,000+ AI resources. Those counts are attributed to the project listing; the article body does not show them, and no counting method or independent audit is provided. Treat them as catalog claims, not verified live inventory.
What is described as current and what remains a goal
The article describes a searchable directory and category browsing as part of the current concept. Adnan also identifies better search and filtering, richer listing details, AI-powered recommendations, improved comparisons, expanded MCP resources, community submissions, curated collections and workflows as improvements he wants to make. Natural-language recommendations based on a user’s goal are presented as a possible future direction, not an existing feature.
Why keeping the catalog useful is difficult
Adnan points to an ongoing maintenance problem: products appear, change their positioning, and create new categories. He describes the work as “Discovery → Categorization → Organization → Search → Updating” and says he is improving catalog organization.
The article does not state an update schedule, listing verification standard, ranking or deduplication method, pricing coverage, review process or independent audit. A reader should therefore check time-sensitive or consequential information directly with the provider rather than assume a directory entry is complete or current.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Who may find it useful
Developers exploring AI coding resources, MCP servers, APIs or frameworks may use AIMarketly to start a search across categories. Marketers looking for content, SEO, social, image or video generation, and marketing automation tools are another audience described by Adnan. His article also invites feedback from people working with LLMs, AI agents, MCP, RAG, AI APIs, automation and developer tools, and asks, “How do you currently discover new tools?”
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