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

rhinomcp MCP Server

jingcheng-chen/rhinomcp

Score: 72.5 ↑ 12.3% Rank #3593 MCP Server
[![AgentRank](https://agentrank-ai.com/api/v1/badge/jingcheng-chen--rhinomcp)](https://agentrank-ai.com/tool/jingcheng-chen--rhinomcp/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
Are you the maintainer of jingcheng-chen/rhinomcp? Claim this listing →

RhinoMCP connects Rhino 3D to AI Agent through the Model Context Protocol (MCP)

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

Overview

jingcheng-chen/rhinomcp is a Python MCP server licensed under MIT. RhinoMCP connects Rhino 3D to AI Agent through the Model Context Protocol (MCP)

Ranked #3593 out of 24846 indexed tools.

Has 1,146 GitHub stars.

Ecosystem

Python MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1,146

1,146 stars → well-known project

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 65%

20/31 issues closed → decent issue management

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 104
Description Good
License MIT

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

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 45 days ago — a recent commit would boost your freshness score

Dependents medium impact

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

Badge all embed codes →

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

Matched Queries

"model context protocol""model-context-protocol"

From the README

<div align="center">

# RhinoMCP

**Control Rhino 3D and Grasshopper with AI, in plain language.**

RhinoMCP connects Rhino to AI agents through the [Model Context Protocol](https://modelcontextprotocol.io),
so assistants like Claude and Cursor can model geometry, read your document, and build
Grasshopper definitions for you, just by chatting.

[Quick start](#quick-start) · [What it can do](#what-it-can-do) · [Usage](#usage) · [Examples](#example-prompts) · [Tool reference](#tool-reference)

**English** · [简体中文](README.zh-CN.md)

</div>

---

## Highlights

For development of the autonomous improvement experiments, start with the
[continuation guide](experiments/CONTINUE.md).

- Describe what you want and the assistant builds it in Rhino.
- It reads your document and can capture the viewport, so it works from what is actually on screen.
- It scripts Grasshopper for you: finding components, wiring them, setting sliders, and solving.
- A single plugin and a single config entry cover both
Read full README on GitHub →

Get the weekly AgentRank digest

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