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AppFlowy MCP Server and API by Cotlet

List workspaces in AppFlowy

appflowy_list_workspaces
Read-onlyIdempotent

List workspaces in the user's own AppFlowy account from ChatGPT, Claude or any AI agent. Returns how to do it in AppFlowy step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's AppFlowy Cloud Browser. AppFlowy's official API: AppFlowy Cloud has a documented REST API for workspaces, the folder tree and database rows, but no hosted MCP server (checked 25 Oct 2026).

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Adds real context beyond the annotations: the tool is inert ('opens nothing by itself'), hands off to browser tools, and carries a dated note that AppFlowy Cloud has a REST API but no hosted MCP server. That explains why the browser path exists, which annotations alone (readOnly/idempotent/non-destructive) would not convey.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core behavior is front-loaded, but 'from ChatGPT, Claude or any AI agent' is filler and the API-status sentence, while informative, sits awkwardly at the end. The middle clause reads as two clauses joined by a semicolon, slightly obscuring the handoff instruction.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, no-output-schema guide tool this is close to sufficient, but it never says what the returned guide looks like or how much detail to expect, and gives no guidance on when this is preferable to the sibling guide tool cotlet_app_guide. The essential handoff instruction is present, so nothing critical is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Zero parameters, so the baseline of 4 applies; there is nothing for the description to disambiguate at the argument level. The prose does not need to compensate for any schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific resource and scope (workspaces in the user's own AppFlowy account) and explicitly states the return is a step-by-step how-to rather than a live listing. The one residual ambiguity is that the tool name implies an API listing while the body says it 'opens nothing by itself', so an agent must read carefully to learn the output is guidance, not data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit workflow: call this to get the steps, then perform them with the cotlet_browser_* tools in the AppFlowy Cloud Browser. It does not state when to prefer this over siblings such as cotlet_app_guide or appflowy_read_page_tree, so alternatives are left implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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