Turn Your Knowledge Base into a Wiki + MCP Server for Claude
A Reddit user shared a workflow that turns a knowledge base into an internal wiki and an MCP server for Claude, making the KB both readable and writable by the agent.
How It Works
- Sources processed: a URL, a PDF, and a Notion page.
- Auto-sync: the URL source syncs weekly.
- Output: an internal wiki generated from those sources by a tool called Akyn.
MCP Server Integration
The KB is connected to Claude via an MCP server with:
- OAuth authentication
- Human-in-the-loop on tool calls (user approves each operation)
Exposed MCP Tools
list_sources— list all sources in the KBquery— search or retrieve content from the wikiwrite_memory— write information back to the KB (e.g., Claude can contribute new entries)
Bidirectional Sync
The KB is not read-only: Claude can query and contribute. Written memories appear inside the same KB in the Akyn UI, and the KB stays in sync with the original sources.
Who This Is For
Developers who want to give Claude persistent, updatable access to their documentation or notes without manual syncing.
Practical Takeaway
If you maintain a knowledge base (URLs, PDFs, Notion), you can spin up an MCP server that lets Claude search, read, and write. The source stay synced, and you keep control via human approval on tool calls.
📖 Read the full source: r/ClaudeAI
👀 See Also
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Career-Ops Fork Adds LinkedIn Job Discovery Using Apify
A developer forked the career-ops Claude Code system and added LinkedIn job discovery using Apify, addressing the main limitation of the original project which only scanned pre-configured company career pages.
ClawMetry adds remote monitoring with E2E encryption for OpenClaw agents
ClawMetry v0.1.0 now includes cloud sync for remote monitoring of OpenClaw agents from any browser or Mac menu bar app, with end-to-end encryption that keeps data encrypted until it reaches your client.
AIBrain adds persistent memory and self-improvement to Claude Code
AIBrain is a tool that gives Claude Code persistent memory between sessions with semantic search retrieval and self-improvement cycles. It includes 53 workflows, 44 skills, 9 MCP servers, and supports multi-agent mesh networking via Tailscale.