About
NyxDocs is an MCP server that aggregates, scrapes, and updates cryptocurrency project documentation from multiple sources like GitHub, Notion, and official sites, providing instant access to blockchain‑specific information.
Capabilities

NyxDocs is a purpose‑built Model Context Protocol server that centralizes and streamlines access to cryptocurrency project documentation. By aggregating data from a wide range of sources—CoinGecko, GitHub, GitBook, Notion, and official project sites—it delivers a single, up‑to‑date view of any blockchain initiative. For developers building AI assistants that need to answer questions about DeFi protocols, NFT platforms, or layer‑two solutions, NyxDocs eliminates the need to query multiple APIs manually and provides a unified, searchable knowledge base.
The server exposes a set of MCP tools that mirror the most common developer workflows. lets an assistant filter projects by name, category, or underlying blockchain; returns metadata such as market cap, tokenomics, and repository links; fetches the full content of README files or GitBook pages, while alerts on recent changes. Because the data layer is continuously refreshed by background scrapers and update monitors, responses are always current—an essential feature when dealing with rapidly evolving crypto ecosystems.
NyxDocs’ architecture is deliberately lightweight yet extensible. The FastMCP core handles protocol traffic, a collector layer pulls raw data from external APIs, and an intelligent scraper extracts structured documentation from diverse formats. The database layer (SQLite or PostgreSQL) stores both project metadata and full‑text documentation, enabling fast fuzzy search and retrieval. The optional setting allows operators to tune resource usage for large‑scale deployments.
In real‑world scenarios, NyxDocs shines in two main use cases. First, an AI assistant embedded in a developer IDE can instantly pull the latest README or API docs for any Ethereum smart contract, reducing context‑switching and boosting productivity. Second, a chatbot on a cryptocurrency community platform can answer “What is the latest update on Polygon’s Layer‑2 roadmap?” by querying NyxDocs and delivering a concise, authoritative summary. By integrating seamlessly with existing MCP clients—such as Claude Desktop or Cursor—developers can add robust, real‑time crypto documentation support with minimal overhead.
What sets NyxDocs apart is its focus on the niche of blockchain documentation, combined with a fully automated update pipeline. While generic knowledge bases require manual curation or external web‑scraping scripts, NyxDocs handles multi‑blockchain support, content extraction from heterogeneous sources, and change detection out of the box. This specialization gives AI assistants a reliable, authoritative source for crypto‑specific queries, making it an indispensable tool in any blockchain‑centric AI workflow.
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