Claudehopper
ClaudeHopper is an AI-based construction document assistance tool that enables intelligent interaction with construction drawings and specification documents through RAG and hybrid search technologies.
rating : 2.5 points
downloads : 22
What is ClaudeHopper?
ClaudeHopper is an AI document assistant designed specifically for the construction industry. It can understand construction drawings and technical specifications, helping you quickly find the drawing details and technical parameters required for your project.How to use ClaudeHopper?
Simply place your construction documents in the specified folder. The system will automatically process and index them. Then you can use natural language to ask questions to find drawing and specification content.Use cases
Suitable for architectural design institutes, construction units, and supervision units, especially for technical personnel who need to frequently consult a large number of drawings and specifications.Main Features
Intelligent Drawing RetrievalFind relevant construction drawings through semantic understanding. You can find the required drawings even if you don't remember the exact name.
Visual SearchFind similar drawing images based on text descriptions, such as 'Find drawings showing steel structure nodes'.
Specification ExtractionAutomatically identify and extract key parameters and requirements from technical specifications.
Multi-disciplinary SupportSupports drawings and specifications from multiple disciplines, such as architecture, structure, water supply and drainage, and electrical engineering.
Advantages and Limitations
Advantages
Significantly reduce the time for finding drawings and specifications
Support natural language questions without the need to remember complex document numbers
Local processing ensures the security of sensitive project data
Can process construction documents in various formats, such as PDF and CAD
Limitations
It takes some time to build the initial document index
The processing speed is slow when dealing with very large drawing files (e.g., A0 size)
The recognition accuracy is low for fuzzy or low-quality scanned documents
How to Use
Installation Preparation
Ensure that Node.js 18+ and Ollama are installed, and download the necessary AI models.
Set Document Directory
Create the specified folder structure and place construction drawings and specification documents in the corresponding folders.
Process Documents
Run the processing script to build the document index.
Start Using
Ask questions about your construction documents in the Claude desktop application.
Usage Examples
Find Specific Types of DrawingsWhen you need to find all drawings about foundations in a project
Query Technical SpecificationsWhen you need to confirm the technical requirements of a certain material
Cross-disciplinary CoordinationWhen you need to check whether the designs of different disciplines at a certain node are consistent
Frequently Asked Questions
What formats of construction documents are supported?
How long does it take to process a 1000-page specification document?
Can the document index be shared within a team?
Why can't I sometimes find a drawing that I know exists?
Related Resources
Ollama Official Website
Local AI model operating environment
Node.js Download
Operating environment
Sample Document Set
Sample construction documents for testing
Usage Demonstration Video
Demonstration of ClaudeHopper's functions
Featured MCP Services

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
837
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
97
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
149
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
572
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
760
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points