remnus

name	remnus
description	Read and edit a Remnus workspace (Notion-like pages and databases) through the Remnus MCP server. Use whenever the user wants to find, read, create, update, organize, or report on Remnus pages, database rows, or schemas via the `remnus` MCP tools.

Working with Remnus

Remnus is a Notion-like workspace. You interact with it through the remnus MCP server — a single connected workspace exposed via bearer-token auth. Every call already runs inside one fixed workspace; you never pass a workspace ID.

The server exposes all three MCP primitives:

• Tools — actions you call to read and write (the bulk of your work).
• Resources — read-only data you can attach as context, addressed by remnus://… URIs.
• Prompts — server-side templates that fetch + format data for common tasks (summaries, reports, triage).

Use the right one: resources to pull context cheaply, tools to act, prompts to kick off a structured task.

The data model (read this first)

Two kinds of things live in the workspace, side by side in one sidebar tree:

• Pages — a title + markdown content. Can be nested under a parent (parentId).
• Databases — a typed schema (columns) plus rows. Each row is itself a page: it has a title, markdown content, an icon, AND a properties object keyed by column.

So "a page" can mean a standalone page or a database row. Most read tools auto-detect which, so you rarely need to care — but when you create or update, the distinction matters (see below).

Column types: text | number | select | multi_select | date | datetime. multi_select values are arrays; everything else is scalar.

Tools at a glance

Read (safe, always allowed):

• search_workspace — find pages/databases by title. Your usual entry point.
• list_workspace — list items, optionally under a parentId. Paginated.
• get_page — full content of a page or row by ID. Auto-detects type.
• get_database_schema — columns only, no rows. Cheap; call before querying.
• query_database — schema + rows, with optional filters. Paginated.
• list_members — workspace members and roles.
• query_audit_log — history of MCP tool calls (yours and other agents').

Write (needs a write-scoped token):

• create_page — new standalone page OR database row (see decision below).
• update_page — change title/content/properties of one item.
• bulk_update_pages — many updates in one call. Prefer this over a loop.
• delete_page — delete a page, row, or whole database. Guarded.
• move_item — reparent a sidebar item; newParentId: null → root.
• create_database — new database with a custom schema.
• update_database_schema — add/remove columns. Removing is guarded.

If a write tool returns "This token only has read scope," the user connected a read-only token — tell them; do not retry.

Resources — remnus://…

Resources are read-only and listable; many clients let you attach them directly as context, which is cheaper and cleaner than a tool round-trip when you just need to read:

• remnus://workspace/{id}/schema — every database in the workspace plus its columns, in one document. Best first pull to understand what databases exist and their shapes.
• remnus://database/{id}/schema — columns of one database (same data as get_database_schema).
• remnus://page/{id} — a page or row rendered as markdown (title + properties + content). Listing returns the 20 most recently updated; any page is reachable by its ID.
• remnus://audit-log/recent — the last 50 activity entries for this token.

Rule of thumb: if the user just wants you to read/understand, prefer attaching the resource. If you need to filter, paginate, or act, use the equivalent tool (query_database, get_page, etc.). The schema resources and the get_database_schema tool return the same thing — either is fine.

Prompts — structured task starters

The server ships seven prompt templates that pre-fetch the relevant Remnus data and hand you a ready-to-run instruction. When the client surfaces prompts, prefer them over assembling the same context by hand:

• summarize-page — page_id, optional style (bullet | paragraph | tldr).
• weekly-status-report — database_id, optional period (e.g. "last week"). Groups by status, flags blockers/wins.
• kanban-triage — database_id. What needs attention, what's blocked, what to deprioritize, next 3 actions.
• extract-tasks — page_id. Pulls actionable items into a markdown checklist (action / owner / deadline / priority).
• search-and-create — title + query. Finds similar existing pages so a new one complements rather than duplicates.
• save-memory — content, optional memory_type (decision | preference | gotcha | fact) and tags. Persists a durable memory into your Agent Memory database as a structured, human-readable record.
• recall-context — topic, optional limit. Reloads the top matching pages as token-cheap outlines plus the link-graph neighborhood of the best match — use it to reload prior context instead of many search + get_page round-trips.

These only fetch and format — the actual writing/analysis is yours. If a client doesn't expose prompts, reproduce them: query the data with the read tools, then do the summary/triage yourself.

Core rules — do not skip these

1. Inspect before you act

Don't guess IDs or column names. Start from search_workspace or list_workspace, and run get_database_schema before query_database / before writing rows. You need real column IDs and the exact select option strings — invented values silently produce empty filters or unset properties.

2. update_page MERGES properties — it never replaces

Passing properties: { status: "Done" } changes only status; every other property is untouched. To clear a field, set it explicitly to null/"". Never re-send the whole property bag thinking you must preserve it — you don't, and doing so risks clobbering changes made since you read.

3. Confirm destructive operations with the human, not just the flag

delete_page and update_database_schema (when removing columns) require confirm: true. That flag is a safety latch, not your decision to make:

• Call them once without confirm to get the preview ("This will permanently delete …").
• Show that preview to the user and get an explicit yes.
• Only then call again with confirm: true. Deleting a database row is irreversible; deleting a database or a parent page cascades to its children. Removing a column destroys that column's data across all rows.

4. Filtering & pagination

• query_database filters use column ID → value: { "col_status": "Done" }. For multi_select, pass an array: { "col_tags": ["Bug"] }. Get exact IDs/options from get_database_schema.
• When a response has hasMore: true, pass its nextCursor back as cursor to get the next page. Keep going until hasMore is false if the user asked for "all". Don't crank limit to a huge number to dodge pagination.

5. create_page: page vs row

• Standalone page → pass title, content, optional parentId.
• Database row → pass databaseId (+ title, content, properties). The row is created inside that database. Don't pass both parentId and databaseId. Property keys must match the database's column IDs.

6. Batch, don't loop

Updating several rows (e.g. "mark all done")? Build one bulk_update_pages call. It's one audit entry and one round-trip instead of N.

7. Content is markdown

content is plain markdown. Headings, lists, tables, checkboxes (- [ ]) all work. Write clean markdown, not HTML.

Common recipes

"Find X and show me" → search_workspace → get_page on the best hit.

"What's in my Tasks database?" → search_workspace (or list_workspace) to get the DB id → get_database_schema → query_database (filter/paginate as needed).

"Mark these tasks done" / bulk edits → get_database_schema for the status column id and the "Done" option string → query_database to resolve row IDs → one bulk_update_pages.

"Add a new task" → resolve the database id → get_database_schema for property keys → create_page with databaseId + properties.

"Set up a database for X" → create_database with a sensible schema (a Title column is auto-prepended). Then create_page rows.

Reports / triage / summaries → use the matching prompt (see the Prompts section). Fall back to read-tools + your own summary if prompts aren't exposed.

When unsure

Ask the user which workspace item or database they mean rather than acting on a fuzzy match — titles repeat. Surface the audit log (query_audit_log) if they ask "what did the agent change?"