What are the dependencies and runtime requirements?
Node.js 18+, Ollama with models `nomic-embed-text`, `phi4`, and `clip`, and optionally Poppler Utils (`pdfimages`) for image extraction.
@Arborist-ai
Basic information
A macOS menu bar application that helps manage MCP (Model Context Protocol) servers for Claude Desktop.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ClaudeHopper": {
"command": "node",
"args": [
"tools/test_image_search.js",
"/path/to/your/database"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
ClaudeHopper is a specialized Model Context Protocol (MCP) server that enables Claude and other LLMs to interact directly with construction documents, drawings, and specifications through advanced RAG and hybrid search. It is designed for construction professionals who need to query CAD drawings, plans, and technical specifications using natural language.
Install Node.js 18+, Ollama (with nomic-embed-text, phi4, and clip models), and optionally Poppler Utils. Run the setup script run_now_preserve.sh for one-click configuration, then place construction drawings in ~/Desktop/PDFdrawings-MCP/InputDocs/Drawings/ and text specs in ~/Desktop/PDFdrawings-MCP/InputDocs/TextDocs/. After adding files, execute ./process_pdfdrawings.sh to ingest documents.
Node.js 18+, Ollama with models `nomic-embed-text`, `phi4`, and `clip`, and optionally Poppler Utils (`pdfimages`) for image extraction.
All document storage and processing are local to your machine, using a LanceDB database for vector search. No data is sent to external servers.
ClaudeHopper is an MCP server that integrates directly with the Claude Desktop App via the standard MCP protocol.
Images are extracted from PDFs using `pdfimages` (from Poppler Utils), embedded with a CLIP model, and searched via textual descriptions using the `image_search` tool.
Yes, the `all_chunks_search` tool allows searching across the entire document collection, while `catalog_search` and `chunks_search` offer more focused queries.
Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app

Give an agent access to your YouSpot CRM: contacts, companies, notes, files, and your connected Gmail, Calendar, HubSpot, LinkedIn, Slack and X.
Detect and redact PII, PHI, PCI and secrets — SSNs, credit cards, passports, API keys and cloud credentials — in text and in local files, using the Strac DLP API. Five tools: redact_text, detect_sensitive_data, detect_fi

Instant blogs for AI agents: a publishing CMS with no dashboard. One signup call returns a blog, an API key and a live URL; then publish markdown posts and get public URLs back.
MCP-native LLM councils for debates, juries, blind panels, voting, refinement, and custom multi-model deliberation.
Comments