Knowledge Hub: Unified AI‑Powered Knowledge Management

Knowledge Hub is a production‑ready Model Context Protocol (MCP) server that bridges AI assistants with an organization’s distributed knowledge assets. It aggregates content from local markdown repositories, Guru Knowledge Bases, and Notion databases into a single, queryable interface. By exposing these resources through MCP tools, developers can empower Claude or other AI assistants to search, read, update, and create documentation across multiple platforms without writing custom integrations for each system.

The server solves the common problem of fragmented knowledge silos. Teams often maintain documentation in separate systems—static markdown files for code docs, Guru cards for quick reference, and Notion pages for living documentation. Without a unified layer, AI assistants must be manually taught to interact with each platform’s API, leading to duplicated effort and brittle workflows. Knowledge Hub consolidates these sources into a coherent MCP service that offers consistent tool signatures, enabling AI agents to perform cross‑platform operations such as “find the latest design spec in Notion, pull related Guru cards, and generate a markdown summary.” This reduces friction for developers building AI‑augmented documentation pipelines.

Key capabilities are delivered through nine well‑defined MCP tools. Guru integration provides card discovery, content retrieval, and attachment handling; Notion tooling covers advanced database queries, page creation from markdown (with metadata validation), updates, archiving, and bidirectional conversion between Notion pages and clean markdown. A lightweight utility tool demonstrates basic MCP interactions, serving as a template for future extensions. Together, these tools give developers fine‑grained control over content lifecycle while keeping the API surface small and predictable.

Real‑world scenarios include: a documentation engineer using an AI assistant to auto‑populate Notion pages from markdown sources, a product manager querying Guru for the latest policy cards and summarizing them in a meeting note, or an AI‑driven help desk that pulls relevant Notion pages and Guru cards to answer user queries. Because Knowledge Hub exposes all actions through MCP, these workflows can be scripted in the assistant’s prompt or orchestrated by external automation systems.

Integration into AI pipelines is straightforward. Developers configure the server in Claude Desktop or other MCP‑aware clients, supply necessary API tokens for Guru and Notion, and then invoke the desired tools via the assistant’s tool‑use syntax. The server’s modular architecture—separated services, validation with Zod, and a clear tool registry—ensures that adding new data sources or extending existing ones can be done without disrupting existing clients. Its production and development modes allow teams to iterate locally before rolling out changes, making it a robust choice for enterprises that need reliable, AI‑enabled knowledge management.