Is the antigravity-mcp MCP server actively maintained?

The antigravity-mcp MCP server was last committed 1mo ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

antigravity-mcp MCP Server

Name: Inferno-Aditya/antigravity-mcp
Rating: 2.4 (1 reviews)
Author: Inferno-Aditya

Inferno-Aditya/antigravity-mcp

Score: 34.0 Rank #16833 Agent Framework

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A powerful Model Context Protocol (MCP) server bridging the Google Antigravity SDK to enable complex multi-agent workflows. Features real-time swarm communication, a shared blackboard, bidirectional tool proxying, and Human-in-the-Loop safety intercepts.

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Overview

Inferno-Aditya/antigravity-mcp is a TypeScript MCP server. A powerful Model Context Protocol (MCP) server bridging the Google Antigravity SDK to enable complex multi-agent workflows. Features real-time swarm communication, a shared blackboard, bidirectional tool proxying, and Human-in-the-Loop safety intercepts.

Ranked #16833 out of 24850 indexed tools.

Ecosystem

TypeScript No license

Score Breakdown

Stars 15% 1

1 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% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License None

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

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Freshness high impact

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Contributors medium impact

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Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: TypeScript
License: —
Last Commit: 1mo ago

Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

See alternatives to Inferno-Aditya/antigravity-mcp → Browse agent-framework category → Compare Inferno-Aditya/antigravity-mcp → A2A vs MCP: Agent Protocol Comparison →What is MCP? Model Context Protocol Explained →

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