Is the AdaptixC2-MCP-Server MCP server actively maintained?

The AdaptixC2-MCP-Server MCP server was last committed 1mo ago and has 1 contributor. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

AdaptixC2-MCP-Server MCP Server

Name: Faceless0x7/AdaptixC2-MCP-Server
Rating: 3.0 (1 reviews)
Author: Faceless0x7

Faceless0x7/AdaptixC2-MCP-Server

Score: 49.6 ↑ 14% Rank #19440 MCP Server

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AdaptixC2 MCP Server — Model Context Protocol server that enables AI agents to interact with AdaptixC2 through MCP.

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Overview

Faceless0x7/AdaptixC2-MCP-Server is a Python MCP server licensed under GPL-3.0. AdaptixC2 MCP Server — Model Context Protocol server that enables AI agents to interact with AdaptixC2 through MCP.

Ranked #19440 out of 24846 indexed tools.

Ecosystem

Python GPL-3.0

Score Breakdown

Stars 15% 32

32 stars → early stage

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

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 4

Description Good

License GPL-3.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Freshness high impact

Last commit was 57 days ago — a recent commit would boost your freshness score

Contributors medium impact

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

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Markdown

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Details

Stars: 32
Forks: 4
Open Issues: 0
Closed Issues: 0
Contributors: 1
Dependents: —
Language: Python
License: GPL-3.0
Last Commit: 1mo ago

Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"topic:mcp

See alternatives to Faceless0x7/AdaptixC2-MCP-Server → Browse mcp-server category → Best MCP Server MCP servers → Compare Faceless0x7/AdaptixC2-MCP-Server → How to Build an MCP Server in 2026 →MCP Server Comparison: Top 10 Head-to-Head →

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