Wenlan MCP Server

Local-first memory layer for AI agents - MCP server

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What is the Wenlan MCP Server?

Local-first memory layer for AI agents - MCP server

What you get

Wenlan turns documents, notes, and past AI conversations into a source-backed knowledge base that stays current as your work evolves. Sources remain traceable; decisions, lessons, and corrections become durable memories; both can support the same maintained Pages.

  • Chat import: — Bring in ChatGPT or Claude export ZIPs; Wenlan automatically skips conversations already imported
  • Document Sources: — Ingest one .md, .txt, or text-extractable .pdf file; recurse through a folder of them; or index Markdown from an Obsidian vault
  • Incremental sync: — Regular file and folder Sources track changes in the background; Obsidian vaults stay read-only and resync on demand
  • Atomic Memory: — MCP clients save one complete decision, lesson, correction, preference, or fact, with provenance and supersession recording where it came from and what it replaces
  • Typed enrichment: — A configured model classifies each Memory, then adds the structured fields defined for its type, plus dates, tags, retrieval cues, and graph links
  • Source-backed Pages: — Distill related Sources and Memories into Markdown Pages with source references and [[wikilinks]]; the daemon can verify and record per-claim citations

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How to install the Wenlan MCP Server

{
  "mcpServers": {
    "wenlan": {
      "command": "npx",
      "args": ["-y", "wenlan"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Example prompts to try

  • “Use Wenlan to Citation.”
  • “Use Wenlan to Read.”
  • “Use Wenlan to Operation.”

Frequently asked questions

Local-first memory layer for AI agents - MCP server Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.