Google PageRank for AI agents. 25,000+ tools indexed.

AdaptixC2-MCP-Server MCP Server

Faceless0x7/AdaptixC2-MCP-Server

Score: 49.6 Rank #103 MCP Server
Are you the maintainer of Faceless0x7/AdaptixC2-MCP-Server? Claim this listing →

MCP server for automating C2 operations in AdaptixC2 using LLM agents.

Add AgentRank to Claude Code Discover and compare tools like Faceless0x7/AdaptixC2-MCP-Server — your AI finds the right one automatically
Get API Access →
claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

Faceless0x7/AdaptixC2-MCP-Server is a Python MCP server. MCP server for automating C2 operations in AdaptixC2 using LLM agents.

Ranked #103 out of 124 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python No license

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Good
License None

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Badge all embed codes →

AgentRank score for Faceless0x7/AdaptixC2-MCP-Server
[![AgentRank](https://agentrank-ai.com/api/badge/tool/Faceless0x7--AdaptixC2-MCP-Server)](https://agentrank-ai.com/tool/Faceless0x7--AdaptixC2-MCP-Server/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/Faceless0x7--AdaptixC2-MCP-Server/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/Faceless0x7--AdaptixC2-MCP-Server" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="Faceless0x7/AdaptixC2-MCP-Server"></script>

Matched Queries

"mcp server""mcp-server"

From the README

# AdaptixC2 MCP Server
---
## ✨ Overview

**AdaptixC2 MCP Server** enables LLM agents to interact with and automate operations with the **[AdaptixC2](https://github.com/Adaptix-Framework/AdaptixC2)** framework via the MCP protocol.

It allows AI-driven red teaming, automation of post-exploitation tasks, and controlled tool execution within a C2 environment.

---

## 🚀 Installation and Setup

Python 3.10+ and the `uv` package manager (`curl -LsSf https://astral.sh/uv/install.sh | sh`) are required.

1. Clone the repository:
```bash
git clone https://github.com/Faceless0x7/AdaptixC2-MCP-Server
cd AdaptixC2-MCP-Server
```

2. Create an isolated virtual environment and install dependencies:
```bash
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt
```

3. Configure connection parameters:
Copy the configuration template and edit it with your details (IP, port, C2 credentials, endpoint):
```bash
cp .env.example .env
```

---

## 🤖 Connecting to LLMs

Add the server start
Read full README on GitHub →

Get the weekly AgentRank digest

Top movers, new tools, ecosystem insights — straight to your inbox.