Overleaf for AI agents (olmcp)

Name: Overleaf for AI agents (olmcp)
Author: nipdep

by nipdepversion 1.0.0-alpha.3i★ –iRuns on your computer

Registry nameio.github.nipdep/agent-overleaf-connector

Install

Overview

Description from the maker (original English)

Overleaf for AI agents: review comments, tracked-change edits, new files and PDFs; no Git needed

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Developer tools
You need to fill in: OVERLEAF_SESSION

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: OVERLEAF_SESSION, OVERLEAF_BASE_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "agent-overleaf-connector": {
      "command": "npx",
      "args": [
        "-y",
        "olmcp",
        "mcp"
      ],
      "env": {
        "OVERLEAF_SESSION": "your-value",
        "OVERLEAF_BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add agent-overleaf-connector --env OVERLEAF_SESSION=your-value --env OVERLEAF_BASE_URL=your-value -- npx -y olmcp mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agent-overleaf-connector": {
      "command": "npx",
      "args": [
        "-y",
        "olmcp",
        "mcp"
      ],
      "env": {
        "OVERLEAF_SESSION": "your-value",
        "OVERLEAF_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agent-overleaf-connector": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "olmcp",
        "mcp"
      ],
      "env": {
        "OVERLEAF_SESSION": "your-value",
        "OVERLEAF_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

OVERLEAF_SESSION secret env
Your Overleaf session cookie (overleaf_session2). Optional: `olmcp auth` stores it in ~/.config/olmcp instead.
OVERLEAF_BASE_URL env
Only for a self-hosted Overleaf, e.g. https://overleaf.example.edu. Defaults to https://www.overleaf.com.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account nipdep, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

More stars than 0% of the other 1396 servers in this category
Published to the registry more recently than 99% of the other 1396 servers in this category
Basic checks equal to or better than 100% of the other 1396 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Overleaf for AI agents (olmcp) safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: OVERLEAF_SESSION

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0-alpha.3) reached the registry today.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Agent–Overleaf Connector (`olmcp`)

olmcp lets an AI agent respond to review comments in an Overleaf project.

You comment in Overleaf. The agent reads the comment and the selected text, proposes an edit as an Overleaf tracked change, and replies in the same thread. You remain the reviewer: you accept or reject the edit and close the thread.

olmcp has no hosted backend: the connector runs on your computer and uses your Overleaf session. Your chosen AI client may still send MCP results to its model provider under that client's own privacy terms.

The workflow

1. You select text and leave a comment in Overleaf.

The agent reads the comment and the live project.
The agent proposes a tracked change and replies in the thread.
You accept, reject, request another version, or resolve the thread.

By default, an edit is a proposal, not a silent replacement. Overleaf shows the original text as a tracked deletion and the proposed text as a tracked insertion.

Project status: 1.0.0-alpha.3. The core review flow has been used on real Overleaf projects; newer features such as pending-suggestion revision and file creation still need real-service testing. Start with a disposable project.

What the MCP can and cannot do

It can	It deliberately cannot
Read comments, threads, selected text, and text files in the project	Accept or reject a tracked change for you
Propose tracked edits in `review` mode	Resolve, reopen, close, or delete a comment thread
Apply a plain edit when you explicitly use `#direct`	Overwrite or delete an existing file
Reply in a comment thread	Edit documents that use Overleaf's unsupported newer history format
Revise its own pending suggestion when you ask for another version	Create images, PDFs, or other binary project files
Create a new text file and missing folders	Work continuously in the background or watch for new comments
Compile the project on Overleaf and save the PDF locally	Give the agent a separate Overleaf identity; changes use your account

The tool surface enforces these limits. However, an agent with unrestricted shell access could read the stored session cookie and contact Overleaf outside the MCP. See Security and trust.

Quick start

You need Node.js 20 or newer, an Overleaf account, and an MCP-capable agent such as Claude Code or Codex. You do not need Python, TeX, or Overleaf's paid Git integration. The current GitHub-based installation may also need the git command; normal use does not.

1. Install `olmcp`

npm install -g github:nipdep/agent-overleaf-connector

olmcp --version

2. Sign in to Overleaf

Copy the overleaf_session2 cookie from your browser's developer tools, then run:

olmcp auth --cookie "<cookie value>"

Treat this cookie like a password. Never paste it into an agent chat, issue, or commit. The setup guide shows where to find it and what to do when it expires.

3. Register the MCP server

Choose your agent, then restart it:

# Claude Code

claude mcp add --scope user olmcp -- "$(which olmcp)" mcp

Codex

codex mcp add olmcp -- "$(which olmcp)" mcp

Windows PowerShell commands and other MCP clients are covered in Connect an AI agent.

4. Give the agent your project URL

No project folder or clone is required. After connecting the MCP, paste the Overleaf project URL into the request:

Address the comments in https://www.overleaf.com/project/<project-id>.

If you prefer not to paste the URL each time, you can save the project ID in a working folder with olmcp init. See Choosing a project.

5. Address a comment

In Overleaf, select a sentence and comment “make this clearer.” Then tell your agent:

Address the comments in https://www.overleaf.com/project/<project-id>.

Back in Overleaf, review the tracked edit. Accept or reject it, reply with another request, or resolve the thread yourself.

Everyday controls

When you want to…	Do this in Overleaf
Propose a normal reviewable edit	Leave an ordinary comment; `review` is the default
Apply an edit without tracked changes	Add `#direct` to the comment
Keep the agent away from a thread	Add `#no-agent`
Focus the agent on particular threads	Add `#agent` to those comments
Ask for another version of a pending suggestion	Reply in the same thread, for example “shorter please,” then run the agent again
Add a new section or bibliography file	Ask in a comment; the new file appears immediately, while the `\input` or bibliography edit is proposed separately
Finish a discussion	Resolve the thread yourself

Read Using olmcp for examples, modes, tags, file creation, and the complete MCP tool list.

Important safety details

Tracked changes are attributed to your Overleaf account because the connector uses your session.
A newly created file cannot be a tracked change. It appears immediately; the connector never overwrites or deletes files.
#direct changes are immediate. Use Overleaf History if you need to undo one.
The interface is unofficial and may break when Overleaf changes it.
The session cookie usually expires after a few days. Run olmcp auth again when olmcp doctor reports an expired session.

Documentation

Start here: documentation map
Install and set up
Use comments, proposals, tags, and files
Connect and constrain an AI agent
Run the alpha test checklist
Check verified behavior and current limits
Understand the technical design
Contribute

Release changes are in the changelog. The retired Python workflow—Git sync, source markers, redline.tex, and GitHub Actions—remains on the python-legacy branch.

Logo files: PNG · SVG

License and credit

Apache 2.0. See LICENSE. The Overleaf protocol handling follows the approach used by olcli by Alexander Loth (MIT); see THIRD_PARTY_NOTICES.md.

Overleaf for AI agents (olmcp)

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

Agent–Overleaf Connector (olmcp)

The workflow

What the MCP can and cannot do

Quick start

1. Install olmcp

2. Sign in to Overleaf

3. Register the MCP server

Codex

4. Give the agent your project URL

5. Address a comment

Everyday controls

Important safety details

Documentation

License and credit

Agent–Overleaf Connector (`olmcp`)

1. Install `olmcp`