MCP Servers

Headless IDA MCP Server

A server that provides remote binary analysis capabilities through IDA Pro's headless mode, allowing users to manage and manipulate functions, variables, and other binary elements via the Multi-Client Protocol.

Category

README

Acknowledgments

This project builds upon the work of:

Tools code adapted from ida-pro-mcp by mrexodia
Utilizes the headless-ida library by DennyDai

Headless IDA MCP Server

If you want to run the server directly as a cli app, rather than an IDA plugin interactively,you can chose it.

Project Description

This project uses IDA Pro's headless mode to analyze binary files and provides a suite of tools via MCP to manage and manipulate functions, variables, and more.

Prerequisites

Python 3.12 or higher
IDA Pro with headless support (idat) https://github.com/DennyDai/headless-ida

Installation

Clone the project locally:

git clone https://github.com/cnitlrt/headless-ida-mcp-server.git 
cd headless-ida-mcp-server

Install dependencies:

uv python install 3.12
uv venv --python 3.12
uv pip install -e .

Configuration

Copy the example environment file:
```
cp .env_example .env
```
Configure the following environment variables in .env:
- IDA_PATH: Path to IDA Pro's headless executable (idat), e.g., /home/ubuntu/idapro/idat
- PORT: Port number for the MCP server, e.g., 8888
- HOST: Host address for the MCP server, e.g., 127.0.0.1
- TRANSPORT: MCP transport mode (sse or stdio)

Usage

Start the server:
```
uv run headless_ida_mcp_server
```

Connect to the server using an MCP client:

Debug it:

npx -y @modelcontextprotocol/inspector

or

{
"mcpServers": {
   "ida": {
      "command": "/path/to/uv",
      "args": ["--directory","path/to/headless-ida-mcp-server","run","headless_ida_mcp_server"]
   }
}
}

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.