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MCP server

  • Install the MCP server
  • Tools overview

MCP tools

  • search_products
  • get_product
  • search_founders
  • get_founder
  • get_launches
  • get_trending_products
  • search_categories

REST API

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  • Categories & taxonomy

AI discovery

  • llms.txt & llms-full.txt
  • Markdown mirrors & AI profile
  • Structured data
  • Get your product discovered

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Docs/MCP server/Tools overview

Tools overview

The seven read-only tools the Founder.best MCP server exposes, what each needs, what it returns, and the order an agent should call them in.

Every tool is a thin wrapper over the same query layer the REST API uses, so a result never depends on which transport asked for it. All seven are anonymous, read-only, idempotent and declared as such in their MCP annotations, which lets hosts run them without confirmation prompts.

Each tool returns two things: a text block written in Markdown for models that only read text, and a structuredContent object with the same data as typed JSON for clients that consume it programmatically. The JSON shapes are identical to the REST API and documented in the data model.

At a glance

ToolInputReturns
search_productsquery, category, use_case, audience, pricing[], platform[], founder, featured, launched_after, launched_before, sort, limit, pageRanked product summaries + pagination
get_productslugOne full product record
search_foundersquery, sort, limit, pageFounder summaries + pagination
get_founderusernameOne founder with launched products
get_launchesyear, week, limitRanked launches for an ISO week
get_trending_productsperiod, category, limitRanked recent launches
search_categoriesquery, limitCategories, use cases, audiences with counts

A sensible order to use them in

  1. Discover the vocabulary. If the user’s request mentions a domain (“fintech”, “for freelancers”), call search_categories once to turn it into a category, use-case or audience slug. Skip this for plain queries.
  2. Search. Call search_products with the natural-language query plus any filters. Ask for 10-20 results; the response says whether more pages exist.
  3. Enrich the shortlist. Call get_product for the few results you will actually recommend. It adds links, integrations, alternatives, screenshots, verified revenue and the ai_profile block.
  4. Answer with sources. Cite url (the Founder.best page) and website. Use metrics.upvotes or launch_date only when the user cares about traction or recency.

get_trending_products and get_launches answer “what is new / popular” questions without a search. search_founders and get_founder cover “who built this” and “what else has this person launched”.

Example conversation

What an agent does with the tools
User: Find me 10 SaaS products for generating social media content.

→ search_products({ query: "generate social media content", limit: 10 })
   ← 10 products, total 62, has_more: true

→ get_product({ slug: "postpilot" })        # top 3 for richer detail
→ get_product({ slug: "captionforge" })
→ get_product({ slug: "bidpage" })

Agent: Here are ten founder-built tools for social media content listed on Founder.best:

1. **Postpilot** - AI captions and scheduling for small teams (Freemium, Web)
   Ideal for: Marketers, Solopreneurs · 84 upvotes
   https://www.founder.best/products/postpilot · https://postpilot.example
2. …

Errors

  • Invalid arguments - the host receives a validation error naming the field and the accepted values, e.g. pricing.0: Invalid option: expected one of “free”|“freemium”|…. Fix the argument; do not retry unchanged.
  • Not found - get_product and get_founder return isError: true with a message suggesting the search tool to use.
  • Empty results - search_products returns a normal result with total: 0 and a hint to broaden the query or drop filters.
  • Rate limited - HTTP 429 with Retry-After; see Rate limits.
PreviousInstall the MCP serverNextsearch_products

Prefer plain text? Everything here is summarised in /llms.txt.

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