MCP Servers

Overleaf MCP

Enables LLM agents to read and update Overleaf LaTeX papers via git, with tools for reading/writing main.tex and bibliography files.

README

Overleaf MCP

An MCP (Model Context Protocol) server that lets LLM agents (Claude Code, etc.) read and update Overleaf LaTeX papers via git.

Architecture

overleaf_mcp.py — FastAPI server exposing read_paper and update_and_push_paper tools over HTTP
main.py — stdio bridge that translates JSON-RPC (MCP protocol) to HTTP calls; this is what MCP clients connect to

Prerequisites

Python 3.10+
pdflatex (for LaTeX compilation)
git

Setup

Clone your Overleaf project:

git clone https://git.overleaf.com/<your-project-id> ~/path/to/your-paper

Configure the repository path:

cp .env.example .env
# Edit .env and set REPO_DIR to the absolute path of your local clone

Install dependencies:
```
pip install -e .
```

Usage

Step 1: Start the MCP server

python overleaf_mcp.py

The server starts on http://localhost:8000 and exposes:

GET /mcp/tools — list available tools
POST /mcp/execute — execute a tool
GET /health — health check

Step 2: Connect an MCP client

The bridge (main.py) speaks JSON-RPC over stdio, the standard MCP transport. Point your MCP client to it.

Claude Code (via claude.json):

{
  "mcpServers": {
    "overleaf": {
      "command": "python",
      "args": ["/path/to/overleaf_mcp/main.py"]
    }
  }
}

Or run the bridge directly for testing:

python main.py

Tools

Tool	Description	Parameters
`read_paper`	Reads the current content of `main.tex`	None
`update_and_push_paper`	Writes new `main.tex`, compiles with `pdflatex`, commits, and pushes to Overleaf	`latex_content` (required), `commit_message` (optional)
`read_bibliography`	Reads a `.bib` file from the repo	`bib_file` (optional, default: `references.bib`)
`update_and_push_bibliography`	Writes new `.bib` content, compiles, commits, and pushes	`bib_content` (required), `bib_file` (optional), `commit_message` (optional)

Example

See mcp_sample.json for a sample request payload.

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.

Official

Featured

TypeScript

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.

Official

Featured

Local

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.

Official

Featured

TypeScript

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.

Official

Featured

Python

E2B

Using MCP to run code via e2b.

Official

Featured

Neon Database

MCP server for interacting with Neon Management API and databases

Official

Featured

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.

Official

Featured

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official

Featured