@seizn/author-mcp-server

MCP server exposing Seizn Author canon recall, conflict check, semantic search, timeline, and relationship graph tools to any MCP-compatible AI agent (Claude Desktop, Claude Code, Cursor, Cline, Continue, Zed, etc.).

Bring Seizn canon into the AI tool you already use. No new editor required.

What it does

When connected, your AI agent gains six tools:

Tool	Purpose
seizn_author_recall	Get canon for a named entity (character, place, object, rule, event, promise) — returns last 3 mentions, current state, pending conflicts
seizn_author_check	Check a passage of prose for canon conflicts (P1 critical / P2 warning / P3 stylistic)
seizn_author_remember	Approve a fact as canon (writer-confirmed source of truth)
seizn_author_search	Semantic search across all project entities
seizn_author_timeline	Chapter-by-chapter beats, optional range filter
seizn_author_graph	Relationship graph subset rooted at an entity

All tools call the Seizn Author REST API (/api/v1/*) with your Bearer token.

Setup

1. Get a Seizn API key

Generate one at (Free tier: 100 calls/day, BYOK required).

2. Install (npm)

npm install -g @seizn/author-mcp-server

Or use npx:

npx @seizn/author-mcp-server

3. Wire into your MCP client

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "seizn-author": {
      "command": "npx",
      "args": ["-y", "@seizn/author-mcp-server"],
      "env": {
        "SEIZN_API_KEY": "sk_seizn_..."
      }
    }
  }
}

Claude Code

claude mcp add seizn-author -e SEIZN_API_KEY=sk_seizn_... -- npx -y @seizn/author-mcp-server

Cursor / Cline / Continue

See your client's MCP server documentation. The package supports:

• stdio (default for desktop clients)
• streamable-http (for hosted scenarios)
• SSE (legacy)

Configuration

Env var	Default	Description
SEIZN_API_KEY	(required)	Bearer token from seizn.com/dashboard/account/api-keys
SEIZN_API_BASE_URL	https://seizn.com/api/v1	Override for staging or self-hosted

Usage examples

In your AI chat:

'Recall everything Seizn knows about Seoyun in project ch7-draft.' → invokes seizn_author_recall with name=Seoyun

'Check this scene for canon conflicts: ...' → invokes seizn_author_check with the pasted text

'Show me the timeline from Ch.5 to Ch.7.' → invokes seizn_author_timeline with from=ch5, to=ch7

The AI decides when to call each tool based on the conversation. You don't have to remember tool names.

Pricing

Plan	Quota	Price
Free	100 recall calls/day	$0
Indie	1,000 calls/month	$9/month
Pro	10,000 calls/month	$19/month
Studio	100,000 calls/month + 5 API keys per user	$99/month
Studio Managed (Q3+)	+ 500 managed Opus calls/month	$299/month
Enterprise	Volume + SOC 2 + SSO	Custom

Track 2 plan covers Track 2 surface (API + MCP) only. Seizn Author has separate plans for the web dashboard (Track 1, KRW) and the Tauri desktop app (Track 3, KRW). One Stripe customer holds multiple subscriptions, billed independently. See for cross-track upsell details.

No subscription required for AI inference. Tools split into two groups:

Tool	Backend LLM	Needs BYOK?
seizn_author_recall / _remember / _graph / _search	❌ DB only	❌ Works on Free, no key needed
seizn_author_check / _timeline	✅ Sonnet/Opus	✅ BYOK or Studio Managed

The Seizn subscription covers the canon backend and recall infrastructure. The two AI-enhanced tools (check, timeline) require either your own LLM key (BYOK, any tier) or Studio Managed ($299/mo) which includes 500 Opus calls.

Your host AI agent's LLM is separate. Whether you use Claude Pro/Max subscription via Claude Code/Desktop, Cursor Pro, or BYOK in Cline/Continue — the host handles its own LLM cost. Seizn doesn't double-charge.

See for full details.

Versioning

While the package is on 0.x.y we may ship breaking changes on minor bumps (0.2.0 etc.) — we'll call them out clearly in CHANGELOG.md. Once we tag 1.0.0, strict semver applies: major = breaking, minor = additive, patch = fix-only.

Each release is published with a matching GitHub tag (v0.1.0, …) and a CHANGELOG.md entry.

License

MIT © Litheon LLC

Issues / contributions

(label: track-2-platform)