$ loading_
Build Nanograph datasources from Markdown or PDF and serve them via MCP or HTTP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "nanograph-mcp" yet — see the docs or source repo.
Turn the Markdown files in docs/ and the PDFs in reports/ into a Nanograph datasource, and explain the required folder structure, conversion steps, and how to expose it through MCP.
A build workflow from document corpora to a Nanograph datasource, plus configuration guidance for serving it through MCP.
I have a set of product whitepaper PDFs and want to turn them into a queryable datasource exposed through a lightweight HTTP/JSON wrapper. Give me the full steps and sample configuration.
Instructions for importing PDF corpora, generating the datasource, wrapping it with an HTTP/JSON service, and example calls.
Design a setup that converts our team's Markdown notes and PDF research files into a unified Nanograph datasource so an AI assistant can access it through MCP.
A plan for consolidating mixed-format documents, organizing the datasource, and connecting it through MCP for AI retrieval.
Build MCP agent workflows with NestJS, LangGraph, and flexible model orchestration.
Search Markdown knowledge bases and navigate linked notes as a graph.
Build and explore AI-enriched knowledge graphs from documents and code.
Control Google NotebookLM end-to-end for research, notes, chat, and exports.
Use Google Nano Banana image models via MCP and get file paths.
Build a knowledge graph from repos for Q&A and implementation planning.