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Outline Mcp Rmcp

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rmcp (MCP) interface layer for outline-mcp: ServerHandler, tool_router, and stdio / streamable HTTP transport wiring over outline-mcp-core

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rmcp (MCP) interface layer for outline-mcp: ServerHandler, tool_router, and stdio / streamable HTTP transport wiring over outline-mcp-core

README

Tree-structured knowledge base as an MCP server.

LLM sessions are ephemeral. outline-mcp gives them a persistent, editable knowledge tree — sections and content nodes that can be browsed (toc), annotated with properties, and evolved across sessions. Nodes with inject=true are automatically included in session context.

Quick Start

cargo install --path .

Claude Code (~/.claude.json)

Native binary (after cargo install)

{
  "mcpServers": {
    "outline": {
      "command": "outline-mcp",
      "args": ["/path/to/your-book.json"]
    }
  }
}

Docker (no Rust toolchain required)

{
  "mcpServers": {
    "outline": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-v", "/path/to/data:/data",
        "ghcr.io/ynishi/outline-mcp:latest",
        "/data/your-book.json"
      ]
    }
  }
}

If the path argument is omitted, defaults to outline-book.json in the current directory.

Multi-device (one shelf, many devices)

--mcp-http serves the same tools over MCP's streamable HTTP transport, so several devices can share one shelf. A single process owns the directory — book JSON plus the per-slug .events.db — which keeps the single-writer storage model intact, so there is no sync or conflict resolution to configure.

outline-mcp /path/to/books --mcp-http                          # 127.0.0.1:8486
outline-mcp /path/to/books --mcp-http --bind 127.0.0.1:9000

Point clients at /mcp on that address:

{
  "mcpServers": {
    "outline": {
      "type": "http",
      "url": "http://127.0.0.1:8486/mcp"
    }
  }
}

Binding beyond loopback requires a token. Startup is refused without one, before any listener is opened:

OUTLINE_MCP_HTTP_TOKEN=<token> outline-mcp /path/to/books --mcp-http --bind 0.0.0.0:8486

Every request must then carry Authorization: Bearer <token> — set it wherever your MCP client configures request headers. TLS termination is a reverse-proxy concern. Logs go to stderr in both transports; stdout stays reserved for the stdio protocol channel.

Service templates for running this as a daemon live in contrib/systemd/ and contrib/launchd/. docs/runbooks/ covers moving an existing shelf to a central host (data-migration.md) and verifying a deployment end to end (multi-device-smoke.md).

Workflow

shelf  →  select_book  →  toc  →  node_create / node_update / node_move
                                   node_batch_move / node_batch_update / node_query
                                   checklist / import / init / gen_routing
                                   snapshot_create / snapshot_list / snapshot_restore
                                   node_history / dump
  1. init — Create a new empty book
  2. node_create — Add sections and content nodes (with optional properties)
  3. toc — View the table of contents with numbered IDs (e.g. 1, 2-3). Supports filter by properties
  4. select_book — Select a book. Nodes with inject=true property have their body auto-appended (draft nodes excluded)
  5. checklist — Export a section (or the whole book) as a Markdown checklist with checkboxes
  6. node_update — Edit title, body, type, placeholder, properties, or status (active/draft) of a node
  7. node_move — Relocate or delete nodes (with descendants)
  8. node_batch_move — Move or delete multiple nodes in a single atomic call (requires UUID or UUID-prefix IDs)
  9. node_batch_update — Update title/body/type/properties/status on multiple nodes atomically
  10. node_query — Search nodes by property values, status (active/draft), or type (section/content); optionally include body in results
  11. import — Import a book from a previously exported JSON file
  12. gen_routing — Generate a Markdown routing table from nodes with routing property across all books
  13. snapshot_create / snapshot_list / snapshot_restore — Full book versioning (create, list, restore)
  14. node_history — View per-node change log with before/after diffs
  15. dump — Export full book as JSON file

Node IDs

toc assigns human-friendly numbered IDs:

1. Coding Standards
  1-1. Naming Conventions
  1-2. Error Handling
2. Testing
  2-1. Unit Tests
  2-2. Integration Tests

These IDs (1, 1-2, 2-1, etc.) work in most tools. Full UUIDs and title substring matching are also supported as fallbacks.

Note: node_batch_move and node_batch_update require UUID or UUID-prefix IDs. Hierarchical toc IDs are intentionally rejected to prevent positional drift when the tree is modified mid-batch.

Node Properties

Nodes can have key-value properties for metadata:

node_create  title="My Rule"  properties={"inject": "true", "scope": "rust"}
  • inject=true — Node body is automatically included in select_book output (context injection)
  • routing=<scene> — Marks the node for gen_routing output. Use | to assign multiple scenes (e.g. routing="testing|TDD")
  • routing_ref=<text> — Overrides the default §ID Title reference in the routing table (e.g. routing_ref="select_book で全体参照")
  • Properties with value "true" appear as tags in toc: 1. My Rule [inject]
  • toc supports filtering: filter={"inject": "true"} shows only matching nodes
  • Properties are preserved in JSON export/import

Architecture

The repository is a Cargo workspace with three crates: an rmcp-independent SDK (outline-mcp-core), the MCP protocol layer (outline-mcp-rmcp), and the server binary (outline-mcp).

crates/
├── outline-mcp-core/     # SDK crate (library, no rmcp dependency)
│   └── src/
│       ├── domain/       # Core model (TemplateBook, TemplateNode, NodeId)
│       │   ├── model/    # Aggregate root + value objects
│       │   ├── error.rs  # Domain errors
│       │   └── repository.rs # BookRepository trait
│       ├── application/  # Use cases
│       │   ├── service.rs # BookService (CRUD)
│       │   └── eject.rs  # EjectService (Markdown/JSON export & import)
│       └── infra/        # Persistence
│           ├── json_store.rs # JSON file repository (atomic write)
│           ├── changelog_store.rs
│           ├── ai_store_changelog.rs
│           └── snapshot.rs
├── outline-mcp-rmcp/     # MCP layer (rmcp; stdio + streamable HTTP)
│   └── src/
│       ├── server.rs     # Transports (run / run_http) + server type
│       ├── tools.rs      # Tool handlers
│       └── resources.rs  # Resource handlers
└── outline-mcp/          # Binary crate (CLI entry point)
    └── src/
        ├── main.rs       # Flag parsing (--mcp-http / --bind), transport dispatch
        └── cli.rs        # `migrate-snapshots` subcommand

Downstream applications that want to embed the tree / snapshot / changelog logic without pulling rmcp can depend on outline-mcp-core directly:

[dependencies]
outline-mcp-core = "0.12"

Export Formats

Markdown (default)

# My Runbook

## Design

- [ ] Define requirements
  > requirements list: ___
- [ ] API design
  REST endpoints

JSON

Tree-structured format that can be re-imported:

{
  "title": "My Runbook",
  "max_depth": 4,
  "nodes": [
    {
      "title": "Design",
      "node_type": "section",
      "children": [...]
    }
  ]
}

Upgrading

From 0.9.1 or earlier

The snapshot subsystem now persists to a per-book SQLite event log ({shelf_dir}/{slug}.events.db) in addition to the existing on-disk .snap.{millis}.json files. Existing installs must run the migrator once to fold pre-existing on-disk snapshots into the event log — until they do, those snapshots stay on disk but are not visible to snapshot_list / snapshot_restore.

1. Back up the shelf directory. The migrator is idempotent and does not delete files, but the shelf directory is the source of truth for your books; a copy is cheap insurance.

cp -a <shelf-dir> <shelf-dir>.bak

2. Run the migrator.

outline-mcp migrate-snapshots --shelf <shelf-dir>

The migrator scans every {slug}.snap.{millis}.json file under <shelf-dir>, imports each into {shelf-dir}/{slug}.events.db with its original timestamp preserved, and leaves the source .json file in place. Output looks like:

== rust ==
  scanned:  3
  imported: 3
  skipped:  0
  failed:   0

Pass --slug <slug> to migrate one book at a time.

3. Verify (optional). Re-running the migrator is a no-op — every file will report as skipped.

What the migrator does not do

  • It does not delete the source .snap.*.json files. Keep them for a while as a second layer of backup.
  • It will refuse a stream that already carries events from a different clock (e.g. a book that has been actively edited via snapshot_create between the upgrade and the migrator run). Run the migrator before doing new writes.
  • The startup warning that steers you here is emitted via tracing::warn! on stderr. MCP clients that swallow server stderr (Claude Code included) will not surface it — treat the migrator command as the canonical way to check.

Known limitations

  • Snapshots that were post-hoc labeled via snapshot_tag (as opposed to labeled at snapshot_create time) lose the "time the label was attached" value in their sidecar .meta.json's internal created_at field. The label text itself is preserved, and created_at is never exposed through the MCP surface — this is an internal-metadata drift, not user-visible.

License

Licensed under either of

at your option.

from github.com/ynishi/outline-mcp

Installing Outline Mcp Rmcp

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/ynishi/outline-mcp

FAQ

Is Outline Mcp Rmcp MCP free?

Yes, Outline Mcp Rmcp MCP is free — one-click install via Unyly at no cost.

Does Outline Mcp Rmcp need an API key?

No, Outline Mcp Rmcp runs without API keys or environment variables.

Is Outline Mcp Rmcp hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Outline Mcp Rmcp in Claude Desktop, Claude Code or Cursor?

Open Outline Mcp Rmcp on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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