MCP server

Quotes

io.github.pipeworx-io/quotes

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Quotes MCP — citation-grade quote API for public-domain authors.

Website Source

At a glance

Type

MCP server

Publisher

pipeworx.io (verified by the MCP Registry)

Status

Working at last check

Tools

51

Token cost

About 28,300 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http quotes https://gateway.pipeworx.io/quotes/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.quotes]
url = "https://gateway.pipeworx.io/quotes/mcp"

Gemini CLI

{"mcpServers":{"quotes":{"httpUrl":"https://gateway.pipeworx.io/quotes/mcp"}}}

Cursor

{"mcpServers":{"quotes":{"url":"https://gateway.pipeworx.io/quotes/mcp"}}}

VS Code

{"servers":{"quotes":{"type":"http","url":"https://gateway.pipeworx.io/quotes/mcp"}}}

Antigravity

agy mcp add quotes https://gateway.pipeworx.io/quotes/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"quotes","server_url":"https://gateway.pipeworx.io/quotes/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"quotes","server_url":"https://gateway.pipeworx.io/quotes/mcp"}

Tools

• check_attribution ~314 tokens
  Given a quote and (optionally) the author it is claimed to be by, return one of four verdicts: "verified" (genuine, with citation), "misattributed" (no primary source — popular but fake), "paraphrase_of_verified" (popular corruption of a real quote, returns the actual text), or "no_match" (not in co
• get_act ~191 tokens
  Return the full text of an entire act (all scenes within it). Use this to read a full structural unit at once. Returned object contains nested scenes with their speeches and lines.
• get_chapter ~265 tokens
  Return the full text of a chapter from a novel/prose work (all paragraphs in order). Example: author_id="oscar-wilde", work_slug="the-picture-of-dorian-gray", chapter=2 returns the entire chapter where Lord Henry tempts Dorian. Use list_full_text_works to discover which works are chapter-based.
• get_scene ~289 tokens
  Return the full text of a specific scene from a play (every speech, every line, in order). Example: author_id="william-shakespeare", work_slug="hamlet", act=3, scene=1 returns the entire "To be, or not to be" scene including all of Hamlet's soliloquy and the subsequent dialogue with Ophelia. Useful
• list_authors ~78 tokens
  Return all authors available in the corpus — each entry includes author id (used as input to other tools), display name, birth/death dates, and public-domain status.
• list_full_text_works ~93 tokens
  List works for which the full text (every scene, speech, and line) is loaded — beyond just the famous-quote excerpts. Use this to discover what is available for deep structural lookup via get_scene and get_act.
• quote_by_location ~268 tokens
  Look up quotes by structural address within a work — act/scene for plays, chapter for novels. Example: author_id="william-shakespeare", work_title="Hamlet", act=3, scene=1 returns the "To be, or not to be" line.
• random_quote ~259 tokens
  Return a random quote from the corpus, optionally filtered by author, fame, verification status, or tag. Each result includes citation: work, year, speaker (for plays/fiction), and source URL.
• search_quotes ~240 tokens
  Search quotes by substring. Matches both canonical text and known popular paraphrases — searching for 'protest' finds Hamlet's 'The lady doth protest too much, methinks' even though the popular form 'Methinks the lady doth protest too much' is what most people remember.

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