cite-rag-mcp

A local MCP server for researchers who want AI-assisted writing without fake citations.

cite-rag-mcp connects Codex, Zotero, Better BibTeX, DOI metadata services, and Pandoc into one evidence-safe academic citation workflow. It helps you retrieve verified references, check whether they already exist in Zotero, import DOI-backed records, extract Better BibTeX citekeys, build citekey-constrained writing bundles, and export Word documents with Zotero live citations.

In plain language: it is a citation safety layer for academic writing with AI.

Why This Project Exists

AI can draft quickly, but academic writing has one hard rule: references must be real, traceable, and used honestly.

Common AI writing problems:

• invented articles

• real-looking but wrong DOIs

• citations that are not in your Zotero library

• citekeys that do not exist

• Word documents with broken citation fields

• references imported without duplicate checks

• writing that silently uses unverifiable sources

cite-rag-mcp is designed to prevent those failures. It does not treat citations as decoration. It treats them as data that must be checked before writing and preserved during export.

Related MCP server: zotero-mcp-lite

What It Does

The Big Picture

flowchart LR
    A["Research need"] --> B["cite-rag-mcp"]
    B --> C["Search and rank literature"]
    C --> D["Verify DOI metadata"]
    D --> E["Check Zotero duplicates"]
    E --> F["Import missing DOI items"]
    F --> G["Extract Better BibTeX citekeys"]
    G --> H["Citekey-constrained writing bundle"]
    H --> I["AI drafting in Codex"]
    I --> J["Pandoc + zotero.lua"]
    J --> K["Word document with Zotero live citations"]

    E --> G

How It Protects Your Writing

The server is built around a few strict safety rules:

• Never fabricate references, citekeys, DOIs, or citation facts.

• retrieve_only can retrieve and verify references, but must not draft prose.

• import_only can only work from provided DOIs, titles, or verified references.

• export_only can only render finalized Markdown; it must not retrieve or import literature.

• full_pipeline can run the full path, but still cannot bypass verification.

• Word export must go through Pandoc, zotero.lua, and template.docx.

These rules are intentionally conservative. The goal is not just to make citation workflows faster; the goal is to make them harder to misuse.

Workflow Modes

cite-rag-mcp exposes one main orchestration tool: run_reference_workflow.

It supports four modes:

flowchart TB
    R["retrieve_only"] --> R1["Search literature"]
    R --> R2["Verify DOI metadata"]
    R --> R3["Check/import Zotero items"]
    R --> R4["Return citekeys"]
    R -. forbidden .-> R5["Draft prose or export Word"]

    I["import_only"] --> I1["Accept DOI/title list"]
    I --> I2["Check Zotero"]
    I --> I3["Import missing DOI-backed records"]
    I --> I4["Return citekeys"]
    I -. forbidden .-> I5["Open-ended retrieval"]

    E["export_only"] --> E1["Accept finalized Markdown"]
    E --> E2["Validate citation syntax"]
    E --> E3["Render Word via Pandoc"]
    E -. forbidden .-> E4["Retrieve or import references"]

    F["full_pipeline"] --> F1["Retrieve"]
    F --> F2["Verify"]
    F --> F3["Zotero and citekeys"]
    F --> F4["Optional Word export"]

retrieve_only

Use this when you have a research question or citation need and want verified candidate references.

Inputs:

• citation_need_csv_path, or

• retrieval_request

It can:

• search and rank literature

• verify DOI metadata

• check Zotero duplicates

• import missing verified DOI items when needed

• return citekeys and a citation bundle

It must not write body text or export Word.

import_only

Use this when you already have DOIs, titles, or a verified reference list and want them resolved into Zotero citekeys.

Inputs:

• doi_list

• title_list plus optional authors_list

• verified_references_csv_path

It can:

• check whether items already exist in Zotero

• import DOI-backed missing items

• return citekeys or clear unresolved statuses

It must not run open-ended literature retrieval.

export_only

Use this when the writing is already finalized and you want a Word document with live Zotero citations.

Inputs:

• markdown_path, or

• markdown_content

It can:

• remove any <Citation_Reasoning> block before rendering

• validate citation syntax

• ensure the references anchor is present

• call Pandoc with zotero.lua and template.docx

It must not retrieve literature or change Zotero references.

full_pipeline

Use this when you want the one-stop path.

Inputs:

• retrieval_request or citation_need_csv_path

• optional finalized markdown_path or markdown_content

It can:

• retrieve and verify references

• produce verified citekeys

• build a citekey-constrained drafting bundle

• optionally export Word if finalized Markdown is provided

The actual prose drafting should still be done by Codex or a writing skill using only the returned verified citekeys.

Tool Map

cite-rag-mcp exposes these MCP tools:

Requirements

You need:

• Python 3.11+

• Zotero Desktop running locally

• Better BibTeX for Zotero

• Zotero Local API enabled

• Pandoc on PATH, or macOS/Windows where the installer can download a local Pandoc copy

Zotero must expose both endpoints:

• Zotero Connector: http://127.0.0.1:23119/connector/ping

Chinese and Metadata-Only References

Chinese journal articles, CNKI records, and locally supplied measurement references often do not have a downloaded PDF in Zotero, and their DOI metadata may be incomplete. This MCP therefore separates three concerns:

• Zotero metadata import

• full-text or abstract verification

• live citation-field generation

A downloaded PDF is recommended for writing-critical verification, but it is not required for Zotero metadata import or live citation-field generation.

Use import_manual_metadata_to_selected_collection when the user has reliable metadata but no PDF or no resolvable DOI. The selected Zotero collection must be open and writable.

Example payload:

{
  "metadata_items": [
    {
      "title": "人工智能如何提升企业生产效率？——基于劳动力技能结构调整的视角",
      "authors": ["姚加权", "张锟澎", "郭李鹏", "冯绪"],
      "journal": "管理世界",
      "year": "2024",
      "doi": "10.19744/j.cnki.11-1235/f.2024.0018",
      "url": "https://doi.org/10.19744/j.cnki.11-1235/f.2024.0018",
      "language": "zh-CN",
      "source_identifier": "CNKI or user-provided PDF metadata"
    }
  ],
  "metadata_source": "cnki_or_user_verified",
  "fulltext_status": "metadata_only"
}

Recommended fulltext_status values:

• metadata_only: metadata is sufficient for a Zotero citekey and Word live citation field, but the source should not support detailed claims until manually checked.

• abstract_verified: abstract or reliable summary has been checked.

• fulltext_verified: full text has been checked and the item may support writing-critical measurement, theory, or methods claims.

For final export audits, DOI-backed items should still use normal DOI verification where possible. If a Chinese item has no DOI but has been manually verified, call audit_zotero_metadata_by_citekeys with allow_metadata_only_without_doi=true; otherwise the audit will correctly flag doi_missing.

Metadata-only import is not permission to fabricate claims. It only means Zotero can hold a valid item and produce a live citation field while the writing workflow separately tracks whether the source has been read deeply enough for the claim being made.

• Zotero Local API: http://127.0.0.1:23119/api/users/0/items

No Zotero cloud API key is required. The server talks to your local Zotero Desktop.

Quick Install for Codex

Clone the repository, then run the installer from the repository root.

macOS

python3 scripts/install_codex_mcp.py
python3 scripts/healthcheck.py

Windows

py -3.11 scripts\install_codex_mcp.py
py -3.11 scripts\healthcheck.py

The installer will:

• create a local .venv

• install Python dependencies

• use an existing pandoc if available

• download a local macOS or Windows Pandoc binary when needed

• write the cite-rag-mcp entry into ~/.codex/config.toml

Restart Codex after installation so the MCP server can load.

Health Check

Run:

python3 scripts/healthcheck.py

On Windows:

py -3.11 scripts\healthcheck.py

Expected output looks like this:

[OK] Pandoc - pandoc 3.10
[OK] Zotero Connector - running
[OK] Zotero Local API - enabled
[OK] MCP tools - 12 tools
[OK] MCP Zotero read - { "library_id": ... }

If the Local API check fails, open Zotero and enable the Local API in Zotero settings. Also make sure Better BibTeX is installed and Zotero is running.

Manual Codex Configuration

If you prefer manual setup, add this to ~/.codex/config.toml.

macOS/Linux-style example

[mcp_servers.cite-rag-mcp]
command = "/path/to/cite-rag-mcp/.venv/bin/python"
args = ["/path/to/cite-rag-mcp/server.py"]
startup_timeout_sec = 20

[mcp_servers.cite-rag-mcp.env]
PATH = "/path/to/cite-rag-mcp/tools/pandoc-3.10/pandoc-3.10-arm64/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin"

Windows example

[mcp_servers.cite-rag-mcp]
command = "C:\\path\\to\\cite-rag-mcp\\.venv\\Scripts\\python.exe"
args = ["C:\\path\\to\\cite-rag-mcp\\server.py"]
startup_timeout_sec = 20

[mcp_servers.cite-rag-mcp.env]
PATH = "C:\\path\\to\\cite-rag-mcp\\tools\\pandoc-3.10\\pandoc-3.10\\bin;C:\\Windows\\System32;C:\\Windows"

Example Use Cases

1. Turn a Citation Need Into Verified Citekeys

You can ask Codex:

Find verified references about trade credit during financial crises, check Zotero duplicates, import missing DOI-backed items, and return citekeys only.

The MCP should use retrieve_only or full_pipeline, verify metadata, then return citekeys that actually exist in Zotero.

2. Import a DOI List Safely

You can provide:

10.1016/j.jfineco.2005.11.002
10.5465/amj.2012.0122

The MCP can check Zotero first, reuse existing records, import missing DOI-backed items, and return Better BibTeX citekeys.

3. Export a Word Document With Live Citations

Provide finalized Markdown:

# Introduction

Trade credit can act as a substitute financing channel during credit shocks [@loveTradeCreditBank2006].

# References

The MCP can render a .docx through Pandoc and zotero.lua, preserving Zotero-compatible live citation fields.

Project Structure

cite-rag-mcp/
├── server.py                         # MCP server and tool registrations
├── models.py                         # Structured response models
├── retrieval.py                      # Retrieval logic
├── ranking.py                        # Literature ranking helpers
├── journal_catalog.py                # Journal catalog loading and filtering
├── prompts.py                        # Safety prompts and writing bundles
├── requirements.txt                  # Python dependencies
├── template.docx                     # Word reference document
├── services/
│   ├── zotero_service.py             # Zotero Local API and Connector integration
│   ├── citekey_service.py            # Better BibTeX citekey extraction
│   ├── verification_service.py       # DOI and metadata verification
│   ├── document_service.py           # Pandoc Word rendering
│   └── zotero.lua                    # Pandoc Zotero live citation filter
├── doi_verify/                       # DOI metadata parsing and verification helpers
├── references/
│   ├── custom_journal_catalog.xlsx   # Journal filtering/ranking catalog
│   └── prompts.md                    # Reference prompts
└── scripts/
    ├── install_codex_mcp.py          # One-command Codex installer
    ├── healthcheck.py                # Local health check
    └── zotero_metadata_audit.py      # CLI metadata audit helper

Troubleshooting

Zotero Connector is not running

Make sure Zotero Desktop is open. Then visit:

http://127.0.0.1:23119/connector/ping

You should see a simple Zotero running message.

Zotero Local API is not enabled

If you see:

Local API is not enabled

open Zotero settings and enable the Local API. The MCP needs this to read local library items, check duplicates, and export citekeys.

Better BibTeX citekey export fails

Install or enable Better BibTeX for Zotero. Then restart Zotero and run:

python3 scripts/healthcheck.py

Pandoc is missing

Run the installer:

python3 scripts/install_codex_mcp.py

On macOS and Windows, the installer can download a local Pandoc copy into tools/. That folder is ignored by Git.

Word export succeeds but bibliography looks empty

Open the generated document in Word or WPS, then use the Zotero toolbar to refresh citations or insert/update the bibliography. The MCP creates Zotero-compatible fields, but the editor may still need a refresh pass.

Word export fails with [Errno 2] No such file or directory

This can happen if the MCP process was started from a project directory that was later moved, restored, or deleted. In that state, Python's current working directory lookup can fail before Pandoc or Zotero returns a useful error.

Current versions of cite-rag-mcp guard against this by resolving relative export paths against the MCP repository directory when the process runtime directory is unavailable. If you still see this error:

1. Restart Codex so the MCP server process reloads the latest code.

2. Confirm Pandoc and Zotero are reachable:

python3 scripts/healthcheck.py

3. Run the deleted-working-directory regression test:

python3 scripts/test_document_service_runtime.py

4. Retry generate_final_word_document and inspect the output DOCX for live citation markers such as ADDIN ZOTERO_ITEM or CSL_CITATION.

Design Philosophy

cite-rag-mcp follows three principles:

1. Verification before generation.

2. Citekeys must come from Zotero, not from the model.

3. Word export should preserve live citation fields whenever possible.

This makes the workflow slower than a pure text generator, but much safer for academic work.

Roadmap Ideas

• richer cross-platform installer diagnostics

• optional Windows GUI helper for installation

• more journal-specific ranking profiles

• more DOI metadata source adapters

• stronger bibliography refresh checks after Word export

• bundled example workflows for common academic writing tasks

License

Add a license before distributing this project publicly.