ClaudeHopper MCP Server: Empowering AI Application Integration in Construction Document Processing

Overview: What is ClaudeHopper MCP Server?

ClaudeHopper is a specialized Model Context Protocol (MCP) server designed to enhance and streamline the interaction between advanced language models, such as Claude Desktop App, with construction documents, drawings, and specifications. This server leverages state-of-the-art retrieval-augmented generation (RAG), vector-based search, and hybrid search techniques to facilitate efficient and accurate document retrieval and analysis.

MCP servers like ClaudeHopper play a crucial role in integrating AI applications into specific operational environments by establishing standardized communication protocols. In the context of construction documents, this means providing a seamless interface for querying vast libraries of drawings, plans, and technical specifications, all while ensuring high performance and security.

🔧 Core Features & MCP Capabilities

ClaudeHopper offers a suite of advanced features designed to optimize interactions between AI applications and construction documents. Key capabilities include:

• Vector-based Search: Utilizes semantic vectors derived from text and image content to enable precise retrieval of relevant documents.
• Visual Search: Enables the finding of similar drawings based on textual descriptions, enhancing the user's ability to locate specific elements within complex construction projects.
• Metadata Extraction: Specializes in extracting metadata from various construction industry document formats, including CAD drawings, plans, and specifications.
• Efficient Token Usage: Implements intelligent document chunking and categorization techniques to optimize token consumption without compromising on response quality or context preservation.
• Security Through Local Processing: Ensures that documents are processed locally, providing an additional layer of security by avoiding the need for external data transfers.

These features collectively make ClaudeHopper a powerful tool in the AI-driven construction ecosystem, enhancing both efficiency and accuracy in handling complex document-based tasks.

⚙️ MCP Architecture & Protocol Implementation

The architectural design of ClaudeHopper revolves around leveraging Model Context Protocol (MCP) to integrate seamlessly with various AI applications. The protocol flow diagram illustrates how different components interact within this architecture:

graph TD
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

MCP Client Compatibility

ClaudeHopper supports a range of popular AI clients, including:

• Claude Desktop: Full support for seamless document queries and analysis.
• Continue: Works perfectly with document retrieval and visual search functionalities.
• Cursor: Support is limited to data sources that do not require tool interactions.

MCP Client Compatibility Matrix provides an overview of the supported integration scenarios:

MCP Client	Resources	Tools	Prompts	Status
Claude Desktop	✅	✅	✅	Full Support
Continue	✅	✅	✅	Full Support
Cursor	❌	✅	❌	Tools Only

MCP Configuration

To configure ClaudeHopper for use with an AI application, you can utilize the following sample configuration:

{
  "mcpServers": {
    "[server-name]": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-[name]"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

This configuration snippet demonstrates how to set up an MCP server, specifying the command and arguments needed for initialization.

🚀 Getting Started with Installation

Prerequisites

• Node.js 18+: Ensure you have Node.js version 18 or later installed.
• Ollama Models: Download the required AI models (nomic-embed-text, phi4, clip) from Ollama.

Quick Start Steps

1. Download and Prepare:

   cd ~/Desktop/claudehopper
   chmod +x run_now_preserve.sh
   

2. Run the Setup Script:

   ./run_now_preserve.sh
   

   This script will:

   • Create necessary directory structures.
   • Install required AI models.
   • Process your construction documents locally.
   • Configure Claude Desktop App to use ClaudeHopper.

3. Add Documents: Place your construction documents in the appropriate directories:

   Drawings: ~/Desktop/PDFdrawings-MCP/InputDocs/Drawings/
   Specifications: ~/Desktop/PDFdrawings-MCP/InputDocs/TextDocs/
   

4. Process Documents: Run the following command to process your documents:

   ./process_pdfdrawings.sh
   

5. Testing Image Search Functionality (Optional): For technical validation, you can run the test image search script using:

   chmod +x test_image_search.sh
   ./test_image_search.sh
   

💡 Key Use Cases in AI Workflows

ClaudeHopper is particularly useful in several AI-driven workflows involving construction projects. Here are some key use cases:

Example 1: Smart Document Query for Construction Projects

AI applications like Claude Desktop can quickly and accurately answer detailed technical questions, such as "What architectural drawings do we have for the project?" or "Find all sections discussing fire protection systems." These queries not only provide direct answers but also offer relevant contextual information.

Example 2: Visual Similarity Search in CAD Drawings

The visual search feature allows users to identify and retrieve CAD drawings with similar components. For instance, if a user needs to locate a specific type of wall detail based on an existing drawing, visual similarity searches can significantly expedite the process by presenting near-matching results.

🔌 Integration with MCP Clients

ClaudeHopper is designed to integrate effortlessly with various MCP clients:

• Claude Desktop App: Provides comprehensive document analysis and search capabilities through local processing.
• Continue: Utilizes the server for efficient document retrieval and visual search operations, enhancing its contextual understanding and response time.

📊 Performance & Compatibility Matrix

The performance of ClaudeHopper is tested extensively to ensure compatibility across different environments. The following matrix outlines key integration points:

Requirement	Claude Desktop	Continue	Cursor
Document Retriever	✅	✅	❌
Visual Search Capabilities	✅	✅	❌
Metadata Extraction	✅	✅	❌
Image Processing	✅	✅	❌

This matrix highlights the specific features and tools that are fully supported by each client, ensuring a robust and versatile integration environment.

🛠️ Advanced Configuration & Security

Security Considerations

Security is paramount when it comes to local document processing. ClaudeHopper employs stringent measures to ensure that only authorized personnel can access sensitive data:

• Local Document Storage: All documents are stored locally on the system.
• Data Encryption: Documents and related metadata are encrypted in transit and at rest.

Advanced Configuration Options

To adapt ClaudeHopper to specific use cases, users can adjust several configuration options:

{
  "mcpSettings": {
    "maxChunkSize": "1024", // Control document chunking size.
    "secureStorageEnabled": true, // Enable or disable secure storage features.
    "promptEnhancements": ["context-boost"] // Define additional prompt enhancements.
  }
}

❓ Frequently Asked Questions (FAQ)

Q: How can I test the image search functionality?

A: You can run the provided test script to ensure that your system is set up correctly for full image search capabilities.

Q: Does ClaudeHopper support all types of AI applications?

A: Currently, integration with ContinuumAI clients like Claude Desktop and Continue is supported. Cursor support is limited primarily due to tool dependencies.

Q: How does ClaudeHopper handle document metadata extraction?

A: The server uses advanced AI models for specialized metadata extraction tailored towards the construction industry’s unique document types and formats.

Q: Can I customize the document chunking process?

A: Yes, you can adjust the maximum chunk size in the configuration to better suit your workflow needs.

Q: Is there a way to secure the storage of documents locally?

A: Absolutely. The settings allow for encryption both during transit and at rest, enhancing security measures for stored data.

👨‍💻 Development & Contribution Guidelines

Contributions are welcome from the community! If you wish to contribute, please adhere to these guidelines:

1. Fork the Repository: Start by forking the GitHub repository.
2. Create a Pull Request: After making changes and tests confirming their validity, submit a pull request detailing your contributions.

🌐 MCP Ecosystem & Resources

For further information on the broader MCP ecosystem and related resources, visit:

• MCP Protocol Documentation
• Community Forums

By leveraging ClaudeHopper as an MCP server, AI applications can achieve unparalleled integration into construction workflows, driving efficiency and innovation forward.