Miro ChatGPT Plugin vs Storyflow (2026): What Each Builds

Key Takeaways

• Both are in ChatGPT's plugin directory. Storyflow ranks first here for planning a project on one board, because its plugin builds the plan's parts (to-dos, tables, documents, decks, mind maps, flowcharts) and reports what changed and who changed it each week.
• Miro's plugin is broader on the canvas and in collaboration: 52 documented tools, including diagrams and documents written as SVG (Miro's canvas format), tables with timeline and kanban views, comments ChatGPT can create, reply to and resolve, and board sharing with roles.
• Usage limits differ in shape. Miro caps tool calls per day by plan, from 100 on Free to 10,000 on Enterprise. Storyflow gives an invited free account 25 plugin actions a week, with no weekly limit on Plus, Pro and Max.
• Neither plugin spends its own AI credits: Miro says its tools use no Miro AI credits, and Storyflow's plugin uses no Storyflow AI credits.
• Miro has a free plan today (3 editable boards). Storyflow is paid-only during early access, from $7.99 a month billed annually.

Why "Which Board Plugin" Is the Wrong First Question

You install a whiteboard plugin in ChatGPT, ask it to "map out the campaign", and it does: forty shapes, arrows, a tidy cluster of ideas. Two weeks later the client asks who owns the shoot, when the cut-downs are due and what changed since Tuesday. The board that looked like a plan was a picture of one.

A canvas and a plan are different objects

A canvas holds ideas in space. A plan holds work with owners, dates and status. Both plugins draw on a canvas; they differ in how much of the plan's machinery ChatGPT can build and read back.

The deciding question is what happens in week three

Ask what your team does with the board after the session: run a workshop on it, or work from it until delivery. It is not that one plugin draws better. It is that one is built around the session and the other around the project.

Your team is already somewhere

If your company runs on Miro, the Miro plugin meets the team where its boards already are, and that alone often decides it. Miro says more than 100 million people collaborate on it (miro.com).

What the Miro Plugin Does Inside ChatGPT

Everything in this section comes from Miro's own pages, read on October 28, 2026. In ChatGPT's directory the plugin is listed as Miro, "Visualize and structure ideas", under Productivity.

How you install it

Miro's MCP documentation gives the ChatGPT route in one line: add Miro from the ChatGPT plugin directory, then select Connect. During sign-in you choose a team; Miro's connection guide notes that the server is team-specific, so pick the team whose boards ChatGPT should reach. Authentication is OAuth 2.1, and access follows your existing board permissions.

What ChatGPT can do on a Miro board

Miro's tools reference lists 52 tools. Grouped by job:

• Canvas: create and update many board items from SVG, read board items back as SVG, and search a board in overview, area or exact-match modes. Diagrams, documents and layouts go through these canvas tools, with diagrams authored in Mermaid inside the SVG.
• Boards and formats: create a board or a typed board format (table, timeline, kanban, document, diagram, slide container and more), search your boards, show an interactive preview of board items, move boards between spaces and teams, restore boards from trash.
• Tables: create tables, read and upsert rows, and switch a table's view between grid, timeline and kanban without changing its data.
• Comments: list, create, reply to and resolve comment threads.
• Sharing: list who can access a board, share a board or space with a role, and change roles.
• Images and prototypes: create image items and get upload links; build prototypes from HTML screens.
• Organisation: spaces, sections, space blog posts, people search and the organisation's brand context.

Miro's MCP page adds that an assistant can create native, editable Mermaid diagrams and documents on a board, and build a product strategy or a user journey map from research inputs such as interview transcripts, support tickets and notes.

Limits Miro documents

• Daily calls by plan: Free 100, Starter 500, Business 2,000 and Enterprise 10,000 tool calls a day, resetting at 00:00 UTC; every call counts, per Miro's usage limits page.
• Enterprise: admin approval is required before users can install and use it, and the server may be disabled by default, per Miro's MCP FAQ.
• Scope: Miro calls its MCP tooling "a purposeful abstraction rather than a full mirror of the Miro REST API", so not every Miro feature is reachable from ChatGPT.

What the Storyflow Plugin Does Inside ChatGPT

Storyflow is our product; this section uses its live tool list and listing as of October 2026. The plugin is listed as Storyflow, "Plan projects on visual boards", under Productivity, version 1.0.2.

How you install it

Open the Storyflow listing, select Install plugin, sign in to Storyflow and choose which projects ChatGPT may use: all of them, or the ones you pick. Read access is always on; you decide whether ChatGPT may also make changes, and whether it may see documents outside projects. Availability depends on your ChatGPT plan, workspace and region.

What ChatGPT can build on a Storyflow board

Notes, to-dos, headings, links, tables and documents with their text; walls (grouped sections) and whole sections; mind maps; diagrams and flowcharts with labelled connections; charts and dashboards; slide decks it can create, add to, reorder and update; carousel pages; shot cards; a strip board grouped into shoot days; colour palettes; ready-made board templates and Storyflow Tactics (expert frameworks). It can move elements, group them into walls, divide a board into sections and connect elements, and add images, giving you an upload link for your own photos.

What it reads back

ChatGPT can list your projects, boards and documents, read a board's elements, layout and summary, search your workspace, list who is on a board and report what changed on a board in the last day or week, and who changed it. That last one is the difference on a live project: Friday's status update starts from the board, not from memory.

Limits Storyflow documents

• Not through the plugin: AI image generation, reading board comments, and the menu workflows of Storyflow's own in-app AI.
• A photo attached in the ChatGPT chat does not reach the board; ChatGPT hands you an upload link instead.
• Connections end after 30 days and ChatGPT asks you to sign in again, by design.
• No Gantt chart, dependencies, calendar view or timeline view.

A design project planned on one Storyflow board: brief, references, concepts, deliverables, milestones and client feedback as walls side by side.

How We Compared Them

We read each vendor's documentation about its ChatGPT plugin and its pricing page on October 28, 2026, and compared the two on six criteria. Nothing below is a benchmark run; where we describe outputs, they are what each documented toolset is built to produce.

The six criteria

• What ChatGPT can build. The object types each plugin documents, from shapes and diagrams to tasks, tables, documents and decks.
• What ChatGPT can read back. Search, summaries, comments, change history and who is on the board.
• Collaboration. Who else can open, comment on and change the result, and whether ChatGPT can manage that.
• Scope and admin control. What you choose at connect, and what an administrator controls.
• Usage limits. How many actions you get and what counts.
• Price. The plan you need on each side, from each vendor's pricing page.

How the order works

Storyflow is listed first because the job here is planning a project on one board inside ChatGPT, which is the job its plugin was built for. Where Miro's plugin does more, the table says so.

Feature Comparison: Miro vs Storyflow in ChatGPT

One Brief, Two Boards: What Each Plugin Is Built to Produce

Give both plugins the same brief, a product launch with a film, a landing page and a month of social posts, and the documented toolsets point at different results. This is illustrative, built from each vendor's tool list.

Decision rule: if the work ends in a session (a workshop, a diagram, a prototype), Miro's toolset is the better fit. If it ends in delivery (a deck, a shoot, a launch with dates), Storyflow's is.

Collaboration: Who Else Can Open and Change the Result

Miro: collaboration managed from the chat

Miro's plugin can list who has access, share a board or a space with a role and change roles, and it can work inside comment threads. For a team that reviews in comments, that keeps the whole loop in ChatGPT. Miro's homepage names workshops among its core uses, alongside research, roadmaps and planning, and diagrams.

Storyflow: anyone can open, the board tells you who changed what

A Storyflow view-only link opens with no account, so a client sees the plan without signing up; to comment or draw, a visitor signs in. Real-time co-editing is on every paid plan, anyone a paid member invites to a board joins free, and Max adds a Team Workspace with roles and permissions. Through the plugin, ChatGPT lists who is on a board and reports what each person changed in the last day or week. It does not manage sharing or read comments.

The trade-off in one line

Miro lets ChatGPT run the collaboration; Storyflow lets ChatGPT report on it. Pick by which of those your Friday needs.

A brand strategy moodboard on a Storyflow board: references in the middle, the strategy notes around them, the kind of board a client opens by view-only link.

Price: Miro vs Storyflow as of October 2026

Miro's figures come from its pricing page, which says annual billing saves 20 percent over monthly. Storyflow's are on Storyflow pricing. Your ChatGPT plan is separate on both sides, and OpenAI's connected apps article says app use may count toward your ChatGPT plan limits and limits set by the app provider.

What the limits mean in practice

Both sides count every tool call, reads included, and a single board build can take several. A Miro Free plan gets 100 calls a day. A Storyflow account invited by a paid member gets 25 actions a week, enough for a few check-ins and small edits; building boards week after week needs Plus, Pro or Max, which have no weekly limit. On paid plans, Miro scales its daily cap by plan.

Admin and Security: What Each Side Controls

In ChatGPT

Both plugins sit under the same ChatGPT controls. In a Business, Enterprise or Edu workspace, administrators manage plugins in Admin console under Plugins; OpenAI's admin controls article says apps are enabled by default in Business, while new plugins and apps are generally disabled by default in Enterprise and Edu. A plugin that shows Disabled by admin needs that administrator, not a reinstall.

In Miro

Miro's MCP page says admins can control who uses MCP, which agents can connect and which tools those agents can call. On Enterprise, admin approval is required and the server may start disabled. Access always follows board permissions: ChatGPT sees only boards the signed-in user can already reach.

In Storyflow

Scope is set at install: the projects ChatGPT may use, whether it may make changes, and whether it may see documents outside projects. ChatGPT can create a new project only when you granted all projects. The connection ends after 30 days and ChatGPT asks you to sign in again, so a stale grant does not linger. To end it sooner, revoke the ChatGPT connection, or every connected assistant at once, in Storyflow's Settings under MCP & Apps.

When to Choose Miro

Your team already works in Miro

The strongest reason. Boards, templates and habits are already there, Miro's FAQ says the server is available across Miro plans, and its limits page gives the Free plan 100 calls a day. If you do move, our guide to migrating a Miro board without losing the thinking covers the reasoning behind the shapes, and our general Storyflow vs Miro comparison covers the two apps outside ChatGPT.

The job is a workshop, a diagram or a prototype

Miro's canvas tools, Mermaid diagrams and HTML prototypes are built for exactly this, and research inputs such as interview transcripts can become a journey map on the board.

Review happens in comments

ChatGPT can list, create, reply to and resolve Miro comments. Storyflow's plugin cannot read comments.

You need a timeline view

Miro tables switch to a timeline view and boards come in a timeline format. Storyflow has no timeline or calendar view.

You want ChatGPT to manage access

Sharing a board and changing roles from the chat is in Miro's tool list, not Storyflow's.

When to Choose Storyflow

The board has to carry the project to delivery

To-do cards, tables with status and date columns, documents, decks and a weekly change report are the parts of a plan your team works from after the workshop ends.

You present from the board

ChatGPT can build a slide deck on a Storyflow board, and decks present fullscreen and export as PDF. There is no PPTX export.

You plan shoots and campaigns

Shot cards, a strip board grouped into shoot days, carousel pages and colour palettes are in Storyflow's plugin and not in Miro's tool list.

You want to know what changed

Ask ChatGPT what changed this week and who changed it; the plugin reads the board's changes for the last day or week. See the ChatGPT whiteboard page for how that looks on a team board.

How to Use Both on One Project

Many agencies will run both: the client's discovery workshop in Miro, where the client's team already works, and the delivery plan in Storyflow. With both plugins installed, ChatGPT is the bridge.

Step 1: summarise the workshop board

"@Miro Search the [workshop] board in overview mode and summarise the themes, decisions and open questions, with the area of the board each came from."

Step 2: build the plan from the summary

"@Storyflow On my [project] board, build walls for Goals, Decisions, Open questions and one per phase, and turn the decisions into to-do cards. Leave out anything the workshop did not decide."

Step 3: keep the loop going

Each week, ask Storyflow what changed and who changed it, then reply in the Miro comment thread where the client asked. Mention each plugin with @ so ChatGPT uses the one you mean; OpenAI's plugins article says it also picks installed plugins automatically when relevant.

Set permissions so each tool does one job

Under Settings, Plugins, Permissions, OpenAI's permissions article lists Always ask, Allow read actions and Allow low-risk actions. With Allow read actions as the default, ChatGPT reads both boards freely and asks before any change on either, so you approve Storyflow's changes and the comment replies you intend, and decline anything else aimed at the client's board.

Prompts to Try With Each Plugin

Mention the plugin with @ at the start so ChatGPT uses the one you mean.

With Miro

1. "@Miro Search my [workshop] board and list every decision, open question and action, grouped by the area of the board it came from."
2. "@Miro Create a flowchart of our client approval process on the [project] board as a Mermaid diagram."
3. "@Miro Make a table of the launch tasks with columns Task, Owner, Due and Status, then switch it to a timeline view."
4. "@Miro List the unresolved comment threads on the [review] board and reply to each with the answer from this chat."

With Storyflow

1. "@Storyflow Build walls on my [project] board for Brief, Phases, Risks and Open questions, and turn the agreed tasks into to-do cards."
2. "@Storyflow Add a milestone table with Milestone, Owner, Date and Status columns, owners only from people on the board, rows in date order."
3. "@Storyflow What changed on my [project] board this week, and who changed it? Then draft a client update under 150 words."
4. "@Storyflow Build a six-slide deck on the board for the concept review from the Brief and Direction walls."

More planning prompts, stage by stage, are in ChatGPT prompts for project planning.

Worked Example: A Rebrand From Workshop to Plan

This is an illustrative example: the agency and client are invented, and nothing here is a recorded run. Fernhollow, a fictional five-person branding agency, wins a rebrand for a regional bakery chain. The client's marketing team lives in Miro, so discovery happens there; the delivery plan goes in Storyflow, where Fernhollow runs every project.

The workshop, in Miro

The client and Fernhollow run a two-hour discovery session on a Miro board: audiences, competitors, words the brand should and should not use, and a vote on three directions. Afterwards Fernhollow's strategist asks ChatGPT, through the Miro plugin, to search the board and list the decisions and the open questions, and to reply in the comment thread under the winning direction with a recap for the client.

The plan, in Storyflow

In the same chat, the strategist asks the Storyflow plugin to build the delivery board: walls for Brief, Direction, Logo, Packaging, Signage, Launch, Risks and Open questions; a milestone table with seven rows from concept presentation to launch, date and status columns, owners limited to the five Fernhollow people on the board; a flowchart of the client's approval chain with labelled connections; and a six-slide presentation deck for the concept review.

Week four

The client asks for a second packaging route. The strategist asks Storyflow what changed on the board this week and who changed it, adds the new route to the Packaging wall, and asks ChatGPT to draft a change note. The client's feedback round goes back on the Miro board as comments ChatGPT replies to.

Where it can go wrong, and the fix

A first build from a workshop summary tends to copy every note into the plan, including ideas the client voted down. The fix is a constraint in the prompt, "only decisions marked as agreed; put the rest on Open questions", and a second pass. Workshop boards hold everything said; a plan should hold only what was decided.

Common Mistakes When Choosing Between Them

Picking by how the first board looks

Both draw well on day one. Judge them by week three: what your team needs to read, update and present.

Granting change access to both

If ChatGPT can change the client's Miro board and your Storyflow board without asking, one vague prompt edits the wrong one. Keep Allow read actions as the default so every change asks first.

Forgetting Miro's team scope

Miro's connection is team-specific. If ChatGPT cannot find a board, check you connected the team it lives in.

Expecting Storyflow to read the comment thread

It cannot through the plugin. Keep review comments where your reviewers work, or summarise them into a document on the board.

Assuming the free tiers match

Miro's Free plan is live with 3 editable boards and 100 calls a day. Storyflow has no free plan during early access; invited collaborators join free with 25 plugin actions a week.

Two Other Options Inside ChatGPT

Canvas, for the written plan

ChatGPT's Canvas opens a writing pane beside the chat for long text, and you edit by asking or by highlighting, with earlier versions restorable, per OpenAI's Canvas article. It is a document, not a board: use it for a project charter or a proposal, then put the plan on a board.

Notion, for documents and databases

If the project lives in written pages, the Notion plugin lets ChatGPT search and read pages your account can access and, depending on the plugin, your permissions and approvals, create or update them, per OpenAI's Notion app article. It is the better fit for specs and wikis than either board plugin.

The Bottom Line

Both plugins put a visual board inside your ChatGPT work, and they are built for different weeks of a project. Miro's plugin is the better choice for the session: workshops, diagrams, prototypes, comment threads and a team already on Miro, with a free plan to start. Storyflow's is the better choice for the project that follows: to-dos, tables, documents, decks and a weekly report of what changed, on a board clients open without an account. If you run both, let Miro hold the workshop and Storyflow hold the plan. Start with Storyflow's ChatGPT mind map or the ChatGPT flowchart page to see what the plugin builds.

Storyflow is our product. We ranked it first for planning a project on one board and kept Miro's documented strengths intact.