cite-gate

MCP serverDev tools

Lets your agent check that every quote in a script appears word for word in its source.

Then ask your AI: use cite-gate to check citations

Details

Available today. Use it as a step in a pipeline you build, or from your connected AI.

Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.

About this server

Checks that every quote in an AI-written script appears word for word in its source.

Install cite-gate

The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user cite-gate 'https://mcp.mlpc.co.kr/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://mcp.mlpc.co.kr/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=cite-gate&config=eyJ1cmwiOiJodHRwczovL21jcC5tbHBjLmNvLmtyL21jcCJ9

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://mcp.mlpc.co.kr/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add cite-gate --url 'https://mcp.mlpc.co.kr/mcp'

    Run it once, then sign in with codex mcp login cite-gate if the server asks for an account.

From the project's README

As published by cite-gate/cite-gate in README.md.

A small checker for scripts written with AI help. It makes every factual item in a script carry a quote that appears word for word in a source file, and it flags prose that copies the source instead of retelling it.

It doesn't decide whether a claim is true. It decides whether you can point at the sentence your claim came from, and whether that sentence actually exists.

$ python -m cite_gate check examples/gettysburg/claims.json
5 items · 91 words · 2 failures · 1 warnings
  FAIL [number-not-in-quote] number(s) ['1776', '87'] not in the quotes
  FAIL [quote-not-in-source] quote not found in 'gettysburg': 'this nation shall endure forever and ever'
  warn [copied-not-retold] 26 consecutive words shared with the quotes; retell, don't copy

The example fails on purpose: its last three items are mistakes that a language model makes all the time (a number it worked out itself, a quote it half remembered, a paragraph lifted from the source).

Why

Language models write fluent prose with confident details. The details that go wrong are the small ones: a year that's off by one, a name added "for context", a quote paraphrased into something the source never said. Reading the whole script against the sources by hand doesn't scale. This tool turns that reading into a gate you can run on every change.

What it checks

CheckResult
Each quote exists in its source file (curly quotes, dashes and spacing normalised)failure
Each quote is at least 20 charactersfailure
Every number in the prose appears in that item's quotes (1,000 = 1000)failure
Source ids are plain names (no paths)failure
"hundred / thousand / million" in the prose but not in the quoteswarning
A capitalised word mid-sentence that isn't in the quotes (possible unsourced name)warning
11 or more consecutive words shared with the quotes (copying, not retelling)warning
Optional era rule: the prose names an era but the quotes don't tie the item to it; month names or "X era" phrases not in the quotes; special letters in the prosewarning / failure

Exit code is 1 when there are failures. --strict also fails on warnings.

Input format

A claims file (JSON) and a folder of plain-text sources, one file per source id.

{
 "config": {"allow": ["Lincoln"], "copy_run": 11},
 "sections": [
  {"title": "The occasion",
   "items": [
    {"id": "opening",
     "text": "He began by looking back four score and seven years ...",
     "claims": [{"src": "gettysburg",
                 "quote": "Four score and seven years ago our fathers brought forth on this continent, a new nation"}]}
   ]}
 ]
}

sources/gettysburg.txt holds the source text. Keep your own copy of each source (with its URL and revision noted at the top), so a later run checks against the same text.

Config

KeyDefaultMeaning
allow[]names accepted without a quote (the subject of the script, for example)
copy_run11shared-word run that counts as copying
min_quote_chars20shortest accepted quote
fold_accentsfalsecompare Tokaido in prose with Tōkaidō in the source
eranull{"name": "Victorian", "tie": "\\b18[3-9]\\d\\b", "months": true, "letters": ""}

Use

Command line (Python 3.10+, no dependencies):

pip install .            # from a checkout; adds the `cite-gate` command
cite-gate check path/to/claims.json [--sources DIR] [--json] [--strict]

# or without installing
python -m cite_gate check path/to/claims.json

GitHub Actions:

- uses: actions/checkout@v4
- uses: cite-gate/cite-gate@v0
  with:
    claims: script/claims.json
    strict: "false"

Use from your agent (MCP)

cite-gate ships a small Model Context Protocol server, so an agent can check its own draft before it shows it to you. It runs locally over stdio, has no dependencies, makes no network calls and collects no telemetry.

{
  "mcpServers": {
    "cite-gate": { "command": "python", "args": ["-m", "cite_gate.mcp_server"],
                   "cwd": "/path/to/cite-gate" }
  }
}

Tools:

ToolInputOutput
check_citationsclaims (the format above) and sources ({id: full text})failures, warnings, passed
check_numberstext and quotesnumbers in the text that no quote contains

There's also a hosted endpoint at https://mcp.mlpc.co.kr/mcp (MCP Streamable HTTP, same two tools, up to 3,000 characters of prose per call). It doesn't store your text; what it does log is listed in worker/README.md. For zero logging, use the local server above.

Would a hosted version or a review service be useful to you? Tell us in Discussions.

Limits

  • The heuristics are tuned for English prose.
  • A quote that exists is not a claim that is correct. Sources can be wrong, and an item can cite a real sentence that says something else. The gate makes the review smaller; it doesn't replace it.
  • Proper-noun and quantity checks are warnings because they have false positives. Fix them or add the name to allow; don't learn to ignore them.

Example text

examples/gettysburg/sources/gettysburg.txt is the Gettysburg Address (1863), in the public domain, transcribed here from the Bliss copy. Small wording differences between Lincoln's manuscript copies exist; the checker compares against this file only.

License

AGPL-3.0-or-later. Copyright (C) 2026 MLPC Inc. (see LICENSE).

Tools it offers (2)

What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.

  • check_citations
  • check_numbers

Signals

Last commit
Oct 2026
Advanced
Delivery
cite-gate MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
kr-co-mlpc-cite-gate
Source
github.com/cite-gate/cite-gate
Hosted endpoint
https://mcp.mlpc.co.kr/mcp