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

aftereffects-mcp MCP Server

solomondivyananth/aftereffects-mcp

Score: 60.5 Rank #6150 MCP Server
[![AgentRank](https://agentrank-ai.com/api/v1/badge/solomondivyananth--aftereffects-mcp)](https://agentrank-ai.com/tool/solomondivyananth--aftereffects-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
Are you the maintainer of solomondivyananth/aftereffects-mcp? Claim this listing →

An MCP server that lets AI read, view and edit a live Adobe After Effects project — inspect comps, render frames, write keyframes and expressions, and build projects end to end. Works with Claude Code or any MCP client.

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

Overview

solomondivyananth/aftereffects-mcp is a JavaScript MCP server licensed under MIT. An MCP server that lets AI read, view and edit a live Adobe After Effects project — inspect comps, render frames, write keyframes and expressions, and build projects end to end. Works with Claude Code or any MCP client.

Ranked #6150 out of 24846 indexed tools.

Ecosystem

JavaScript MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 25

25 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 3
Description Detailed
License MIT

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

How to Improve

Freshness high impact

Last commit was 37 days ago — a recent commit would boost your freshness score

Contributors medium impact

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

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

AgentRank score for solomondivyananth/aftereffects-mcp
[![AgentRank](https://agentrank-ai.com/api/v1/badge/solomondivyananth--aftereffects-mcp)](https://agentrank-ai.com/tool/solomondivyananth--aftereffects-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/solomondivyananth--aftereffects-mcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/solomondivyananth--aftereffects-mcp" 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="solomondivyananth/aftereffects-mcp"></script>

Matched Queries

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

Get the weekly AgentRank digest

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