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quotecheck

MCP✓ SPEC VERIFIED

Enables agents to verify whether a quoted passage appears word for word in a cited URL, DOI, or PubMed source, returning a verdict, similarity score, and character span so quotations can be validated before use.

@feenmile · v0.1.1 · MIT License · updated today

SECURITY

A

SCORE

80

STARS

▲ 0

PLUG IN

git clone https://github.com/feenmile/quotecheck.git

See the README to configure this MCP server

README

quotecheck

Does the quoted passage actually appear in the source?

AI agents (and people) often cite real sources but misstate what those sources say: real references, wrong claims. quotecheck fetches the cited source and checks that the quoted text is really there, word for word, and tells you where.

$ quotecheck "Mulberry trees" "https://en.wikipedia.org/wiki/Morus_(plant)"
{
  "status": "EXACT",
  "char_start": 9271,
  "char_end": 9285,
  "similarity": 1.0,
  "snippet": "Mulberry trees",
  "source_final_url": "https://en.wikipedia.org/wiki/Morus_(plant)",
  "reason": null
}

Built by Feenmile.

Verdicts

status meaning
EXACT The quote appears in the source text after normalizing whitespace, curly quotes and dash styles. Matching is case-sensitive.
NEAR No exact match, but a passage with similarity >= 0.90 exists (difflib SequenceMatcher ratio). snippet holds the source's actual wording.
NOT_FOUND Nothing in the retrievable text is close enough. similarity shows the best score found.
SOURCE_UNAVAILABLE The source could not be fetched or read; reason says why.

char_start / char_end are Python string indices (end exclusive) into the plain text quotecheck extracted from the source, which you can get with quotecheck.fetch_source(source).text.

Read NEAR carefully. A NEAR result means the wording differs. A changed number ("43,548" vs "43,549") or a dropped "not" can still score above 0.90. Use the returned snippet as the quotation, or rephrase as a paraphrase.

Sources

  • https://... or http://... URLs
  • doi:10.xxxx/... (resolved through https://doi.org, following the publisher redirect)
  • pmid:12345 (the PubMed abstract, via NCBI E-utilities efetch, plain text)

Install

The PyPI distribution is named quotecheck-mcp; the import package and the command are still quotecheck.

pip install quotecheck-mcp            # library + CLI, no dependencies
pip install "quotecheck-mcp[mcp]"     # also the MCP server (needs the official mcp SDK)

Python 3.10 or newer.

Quick start: CLI

quotecheck "<quote>" <source>
quotecheck "the exact words" doi:10.1371/journal.pone.0000308
quotecheck --strict "the exact words" pmid:33301246   # exit 1 unless EXACT
echo "a long passage" | quotecheck - https://example.org/article
python -m quotecheck --help

Output is always JSON on stdout. Exit status is 0 when a verdict was printed (1 with --strict unless EXACT) and 2 for usage errors such as an empty quote.

Quick start: library

import quotecheck

result = quotecheck.check("pmid:33301246", "A total of 43,548 participants underwent randomization")
print(result.status, result.char_start, result.char_end, result.similarity)
print(result.to_dict())

# Already have the text? Skip the fetch.
quotecheck.check_text(text, quote, near_threshold=0.90)

The core library uses only the Python standard library.

Quick start: MCP server

The server speaks MCP over stdio and exposes one tool, check_quote(quote, source).

{
  "mcpServers": {
    "quotecheck": {
      "command": "quotecheck-mcp"
    }
  }
}

If the script is not on your PATH, use "command": "python", "args": ["-m", "quotecheck.mcp_server"].

The tool description tells the agent to call it before presenting text as a direct quotation, and how to act on each verdict.

Safe fetching

quotecheck fetches URLs that came from model output, so it treats them as untrusted:

  • only http and https; URLs with embedded credentials are refused;
  • the host is resolved and every resolved address must be public: private, loopback, link-local, multicast, reserved and unspecified addresses (including IPv4-mapped IPv6 forms) are refused; the connection then goes to the checked address, so a second DNS answer cannot swap in an internal one;
  • the same checks run again on every redirect, with at most 5 redirects;
  • one 15 second deadline covers the whole fetch, and the body is capped at 5 MB (declared, streamed and after decompression);
  • requests identify as quotecheck/0.1 (+https://feenmile.com);
  • proxy environment variables are not used.

Limits (v0.1)

  • EXACT means the text appears, not that the claim is true. quotecheck does not judge context, meaning, or whether the source is reliable. A quote can be verbatim and still be used to support something the source does not say.
  • No PDFs. PDF responses return SOURCE_UNAVAILABLE with the reason pdf not supported in v0.1. Many DOIs resolve to a landing page whose abstract is HTML; the full text may only be in a PDF.
  • No JavaScript rendering. Pages that build their text in the browser come back empty (SOURCE_UNAVAILABLE) or incomplete (NOT_FOUND).
  • Paywalls, logins, cookie walls and bot blocks. quotecheck sees what an anonymous client sees. Text behind them reads as NOT_FOUND or SOURCE_UNAVAILABLE, which does not mean the quote is wrong.
  • PubMed is abstract-only. pmid: checks the abstract text, not the full paper.
  • Ellipses are literal. A quote that skips words with "..." will not match exactly; check each fragment separately.
  • HTML extraction is simple. Text is taken from the standard-library HTML parser with script, style and template removed. Navigation, footers and hidden elements are included; text split across unusual markup may not join the way it reads on screen.
  • Unicode. Characters are NFKC-normalized one at a time; the same accented letter written in composed and decomposed forms will not match exactly.
  • Fuzzy search is anchored on words shared with the quote. Quotes longer than 20,000 characters are checked for exact matches only.
  • Pages larger than 5 MB are refused rather than truncated.

Development

python -m unittest discover -s tests -t .
python scripts/mutation_check.py

The tests are offline. They run a local http.server fixture. Because the SSRF guard blocks loopback, tests exempt specific fixture (ip, port) pairs with quotecheck._testing.allow_loopback_endpoints, a test-only switch that is off unless a test turns it on. A second fixture server is never exempted, so the tests can prove that a redirect into loopback is refused.

scripts/mutation_check.py copies the project to a temporary directory, disables the address check, and confirms the suite fails.

License

MIT. See LICENSE.

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