Summary
Wraps the free Quotable API to search inspirational quotes by keyword or phrase. Exposes a single search_quotes tool that returns matching quotes with author attribution and topic tags. No authentication needed. Part of the Pipeworx gateway ecosystem, which means you can either use this standalone or access it alongside 250+ other data sources through their unified gateway. The ask_pipeworx interface lets you query in natural language instead of calling tools directly. Useful when you need to pull quotes programmatically for content generation, chatbots, or any app that benefits from curated wisdom without managing API keys or rate limits.
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one prompt install →mcp-quotable
Quotable MCP — wraps the Quotable dataset (free, no auth)
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Tools
| Tool | Description |
|---|---|
random_quote | Get a random quote, optionally filtered by tag (e.g., "Wisdom", "Motivational") or author slug. Returns quote text, author, and tags. Tags come from a fixed list — call list_tags to see it. |
search_quotes | Search quotes by keyword or phrase. Returns matching quotes with author names and topic tags. |
get_authors | Look up an author by slug (e.g., "albert-einstein"). Returns bio, description, and total quote count. Without a slug, returns a page of the author list — the upstream list is unordered and cannot be searched, so prefer passing a slug. |
list_tags | Browse all available quote tags sorted by popularity. Use returned tags with random_quote to filter by topic. |
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"quotable": {
"url": "https://gateway.pipeworx.io/quotable/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/quotable/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1476+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Quotable data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →