Overleaf MCP Server
Enables access to Overleaf LaTeX projects through Git integration, allowing users to read files, analyze document structure, extract sections, and manage multiple projects through natural language commands.
README
Overleaf MCP Server
An MCP (Model Context Protocol) server that provides access to Overleaf projects via Git integration. This allows Claude and other MCP clients to read LaTeX files, analyze document structure, and extract content from Overleaf projects.
Features
- 📄 File Management: List and read files from Overleaf projects
- 📋 Document Structure: Parse LaTeX sections and subsections
- 🔍 Content Extraction: Extract specific sections by title
- 📊 Project Summary: Get overview of project status and structure
- 🏗️ Multi-Project Support: Manage multiple Overleaf projects
- ⚙️ Redis Queue: Dispatch requests through a Redis-backed job queue with per-project locking for safe parallelism
Installation
-
Clone this repository
-
Install dependencies:
npm install -
Set up your projects configuration:
cp projects.example.json projects.json -
Edit
projects.jsonwith your Overleaf credentials:{ "projects": { "default": { "name": "My Paper", "projectId": "YOUR_OVERLEAF_PROJECT_ID", "gitToken": "YOUR_OVERLEAF_GIT_TOKEN" } } } -
Start a Redis instance (locally or remotely). For example:
docker compose up redis -d -
Run the MCP server:
npm start
Getting Overleaf Credentials
-
Git Token:
- Go to Overleaf Account Settings → Git Integration
- Click "Create Token"
-
Project ID:
- Open your Overleaf project
- Find it in the URL:
https://www.overleaf.com/project/[PROJECT_ID]
Configuration & Environment
The server coordinates all tool calls through a Redis-backed BullMQ queue. Heavy Git operations are serialized per project using Redis locks to avoid repository corruption while still allowing concurrent work across different projects.
Key environment variables:
PROJECTS_FILE: Path to the Overleaf project map (default:./projects.json).OVERLEAF_TEMP_DIR: Cache directory for cloned repositories (default:./temp).REDIS_URLorREDIS_HOST/REDIS_PORT/REDIS_PASSWORD/REDIS_DB: Redis connection details.REQUEST_QUEUE_NAME: Override the BullMQ queue name (default:overleaf-mcp-requests).REQUEST_CONCURRENCY: Worker concurrency for queued jobs (default:4).REQUEST_TIMEOUT_MS: Maximum time the server waits for a job to finish (default:120000).PROJECT_LOCK_TTL_MS,PROJECT_LOCK_RETRY_MS,PROJECT_LOCK_MAX_WAIT_MS: Advanced tuning for per-project Redis locks.OVERLEAF_GIT_TOKEN,OVERLEAF_PROJECT_ID: Optional environment fallbacks if they are not defined inprojects.jsonor tool arguments.
Claude Desktop Setup
Add to your Claude Desktop configuration file:
Windows: %APPDATA%\Claude\claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Linux: ~/.config/claude/claude_desktop_config.json
Option 1: Node.js Direct (Local Development)
{
"mcpServers": {
"overleaf": {
"command": "node",
"args": [
"/path/to/OverleafMCP/overleaf-mcp-server.js"
]
}
}
}
Requirements: Node.js installed locally, Redis running locally, all dependencies installed via npm install.
Option 2: Docker Compose (Recommended for Production)
{
"mcpServers": {
"overleaf": {
"command": "docker",
"args": ["compose", "run", "--rm", "-T", "mcp"],
"cwd": "/path/to/OverleafMCP"
}
}
}
Requirements: Docker and Docker Compose installed, project built with docker compose build.
Benefits: Isolated environment, automatic Redis management, ephemeral containers.
Option 3: Docker Exec (Persistent Container)
{
"mcpServers": {
"overleaf": {
"command": "docker",
"args": ["exec", "-i", "CONTAINER_NAME", "node", "overleaf-mcp-server.js"]
}
}
}
Example with specific container name:
{
"mcpServers": {
"overleaf": {
"command": "docker",
"args": ["exec", "-i", "overleaf_mcp-mcp-1", "node", "overleaf-mcp-server.js"]
}
}
}
Requirements:
- Containers already running via
docker compose up -d - Replace
CONTAINER_NAMEwith your actual container name (find withdocker ps) - Container must remain running for MCP to work
When to use each approach:
- Option 1: Development and debugging
- Option 2: Clean, isolated production deployments
- Option 3: When you want persistent containers and direct execution control
Restart Claude Desktop after configuration.
Docker Usage
You can run the MCP server and its Redis dependency entirely in containers using the provided compose file.
Basic Docker Setup
- Copy
projects.example.jsontoprojects.jsonand fill in your credentials. - (Optional) Create a cache directory so clones persist across runs:
mkdir -p data/cache - Build the containers:
docker compose build - Start both Redis and MCP containers:
docker compose up -d
Advanced Docker Usage
For ephemeral containers (Option 2 above):
# Start only Redis persistently
docker compose up -d redis
# MCP server will be started on-demand by Claude Desktop
For persistent containers (Option 3 above):
# Start both services and keep them running
docker compose up -d
# Verify containers are running
docker compose ps
# Check container names for your configuration
docker ps --format "table {{.Names}}\t{{.Image}}\t{{.Status}}"
The compose service maps projects.json into the container at /app/projects.json, and stores cloned repos under ./data/cache on the host.
Use docker compose down when you want to stop all containers.
Container Management
View container logs:
# MCP server logs
docker compose logs mcp
# Redis logs
docker compose logs redis
# Follow logs in real-time
docker compose logs -f mcp
Troubleshooting container names:
# List all containers with names
docker ps --format "table {{.Names}}\t{{.Image}}\t{{.Status}}"
# If using Option 3, update your Claude config with the correct container name
Available Tools
list_projects
List all configured projects.
list_files
List files in a project (default: .tex files).
extension: File extension filter (optional)projectName: Project identifier (optional, defaults to "default")
read_file
Read a specific file from the project.
filePath: Path to the file (required)projectName: Project identifier (optional)
get_sections
Get all sections from a LaTeX file.
filePath: Path to the LaTeX file (required)projectName: Project identifier (optional)
get_section_content
Get content of a specific section.
filePath: Path to the LaTeX file (required)sectionTitle: Title of the section (required)projectName: Project identifier (optional)
status_summary
Get a comprehensive project status summary.
projectName: Project identifier (optional)
Usage Examples
# List all projects
Use the list_projects tool
# Get project overview
Use status_summary tool
# Read main.tex file
Use read_file with filePath: "main.tex"
# Get Introduction section
Use get_section_content with filePath: "main.tex" and sectionTitle: "Introduction"
# List all sections in a file
Use get_sections with filePath: "main.tex"
Multi-Project Usage
To work with multiple projects, add them to projects.json:
{
"projects": {
"default": {
"name": "Main Paper",
"projectId": "project-id-1",
"gitToken": "token-1"
},
"paper2": {
"name": "Second Paper",
"projectId": "project-id-2",
"gitToken": "token-2"
}
}
}
Then specify the project in tool calls:
Use get_section_content with projectName: "paper2", filePath: "main.tex", sectionTitle: "Methods"
File Structure
OverleafMCP/
├── Dockerfile # Container image for the MCP server
├── docker-compose.yml # Docker Compose stack (server + Redis)
├── overleaf-mcp-server.js # Main MCP server with Redis-backed queue
├── overleaf-git-client.js # Git client library
├── package.json # Dependencies and scripts
├── package-lock.json # Exact dependency versions
├── projects.example.json # Configuration template (copy to projects.json)
├── README.md # Documentation
└── .dockerignore # Docker build context exclusions
Troubleshooting
Common Issues
-
"Server disconnected" in Claude Desktop:
- Check container names with
docker ps - Verify containers are running with
docker compose ps - Check Redis connection with
docker compose logs redis
- Check container names with
-
"Project does not exist" error:
- Verify Project ID in your Overleaf URL
- Check Git Token is valid and not expired
- Ensure Git integration is enabled in Overleaf project settings
-
Redis connection errors:
- Ensure Redis container is running:
docker compose up -d redis - Check Redis logs:
docker compose logs redis
- Ensure Redis container is running:
-
Container name mismatch (Option 3 users):
- Find correct container name:
docker ps --format "table {{.Names}}" - Update Claude Desktop config with exact container name
- Container names may include project directory prefix (e.g.,
overleaf_mcp-mcp-1)
- Find correct container name:
Why Redis is Important
Redis provides several critical functions:
- Queue Management: Handles multiple simultaneous requests without blocking
- Project Locking: Prevents Git conflicts when multiple operations access the same project
- Worker Pool Management: Distributes workload across multiple worker processes
- Production Readiness: Makes the server scalable and robust for concurrent usage
Without Redis, the server would work for single-user scenarios but could face race conditions and resource exhaustion under load.
Security Notes
projects.jsonis gitignored to protect your credentials- Never commit real project IDs or Git tokens
- Use the provided
projects.example.jsonas a template - Container logs may contain sensitive information - secure appropriately
Citation
If you use this software in your research, please cite:
@software{overleaf_mcp_2025,
author = {GhoshSrinjoy},
title = {Overleaf MCP Server},
year = {2025},
url = {https://github.com/GhoshSrinjoy/Overleaf-mcp}
}
License
MIT License
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.