Turn any AI assistant into a visual brainstorming powerhouse. Create contextual flowcharts, mind maps, knowledge graphs, architecture diagrams, and more visualization types directly from Claude, Cursor, or VS Code Copilot without leaving your workflow or spending MockFlow AI credits.
The IdeaBoard MCP Server opens up MockFlow's full visual brainstorming toolkit to the AI assistants you already use every day. Instead of switching to MockFlow to create a diagram, you can now ask Claude, Cursor, or VS Code Copilot to generate flowcharts, mind maps, storyboards, Gantt charts, architecture diagrams, customer journey maps, and more , all rendered as fully editable IdeaBoard projects.
MCP (Model Context Protocol) is an open standard created by Anthropic Inc; that lets AI assistants connect directly to external tools. Think of it as a universal plug that lets your AI talk to MockFlow. With the IdeaBoard MCP Server, your AI assistant gains specialized tools that go far beyond what text-based brainstorming can offer.
MockFlow already has Mida AI, our built-in AI assistant that lives inside IdeaBoard. Mida generates, modifies, and transforms content directly on your canvas with full context of your project. It is the complete AI experience when you are working inside MockFlow, and it uses your plan's AI credits.
But the MCP Server solves a different problem. Many users brainstorm where they already are — in a terminal analyzing code, in an IDE reviewing architecture, in a Claude chat discussing strategy, or working with local documents and datasets. The MCP Server brings MockFlow's
powerful brainstorming components to those environments.
The key advantages of using IdeaBoard via MCP:
Contextual brainstorming — Your AI can read local files, codebases, spreadsheets, meeting transcripts, PRDs, and datasets on your machine, then visualize the insights directly. You never need to copy-paste or upload content to MockFlow.
Use your own AI credits — MCP uses your AI tool's credits (Claude, Cursor, Copilot), not your MockFlow plan's AI credits. This is especially valuable for teams that want unlimited visual brainstorming without consuming their MockFlow allocation.
No context switching — Stay in your terminal, IDE, or AI chat. The visualization appears as a shareable URL or renders directly on your open IdeaBoard canvas (Desktop App).
Full editability — Every generated visualization is a real IdeaBoard component. Open it to edit, collaborate with your team, present, or export.
In short: Mida AI is the full experience inside MockFlow. MCP brings MockFlow's visualization tools with powerful contextual engine to wherever your AI already is.

While the component set in MockFlow IdeaBoard is growing fast, currently it offers generations in these broad categories.
render_flowchart — Create flowcharts across 11 distinct diagram categories: default, sketchy hand-drawn, 3D isometric, bio/medical, circuit, piping and instrumentation (P&ID), UML, sketchy UML, cloud isometric, web layout, and mobile layout. Supports decision nodes, process steps, start/end terminators, and conditional branching.
render_swimlane — Cross-functional process flows with horizontal swim lanes for different actors, roles, or departments. Ideal for mapping business processes that span multiple teams.
render_database — Entity-relationship diagrams with tables, columns, primary key and foreign key marking, and relationship arrows between tables. Describe your data model and get a proper ER diagram.
render_mindmap — Hierarchical mind maps with balanced left-right branching, multi-level nesting, and emoji support. Perfect for breaking down complex topics, brainstorming features, or mapping knowledge areas.
render_whiteboard — Freeform brainstorming boards with sticky notes in pastel colors, sections for grouping, and text labels. Captures the feel of a physical whiteboard session.
render_knowledgegraph — Bubble network graphs (similar to Obsidian-style knowledge graphs) with weighted nodes and directed edges with labels. Visualize relationships between concepts, dependencies, or interconnected systems.
render_kanban — Project management boards with customizable columns, cards with priority levels, due dates, assignees, and color-coded labels. Columns use topic-relevant categories rather than generic statuses.
render_gantt — Project timeline charts with phases, tasks, progress tracking (0-100%), start and end dates, dependencies between tasks, and priority levels.
render_calendar — Event calendars with support for timed events, all-day events, multiple event colors, and reminders.
render_timeline — Chronological event visualization in two modes: date-based (for real historical dates or project milestones) and label-based (for stages, phases, or abstract sequences).
render_chart — Eight chart types: pie, vertical bar, horizontal bar, line, area, scatter, bubble, and radar. Accepts CSV-formatted data with formula support.
render_table — Structured data tables with headers and flexible columns. Clean tabular output from any dataset.
render_spreadsheet — Full spreadsheets with formula support including SUM, AVERAGE, MAX, MIN, COUNT, IF, and ROUND.
render_cloudarchitecture — Cloud infrastructure diagrams with native support for AWS, Azure, GCP, and Cisco service icons. Supports VPC and subnet grouping, security group containers, and standard cloud architecture notation.
render_customerjourney — Customer journey maps with stages, activities with icons, satisfaction metrics on a 0-4 emotion scale, experiences, expectations, and pain points at each stage.
render_storyboard — Film and video storyboards with cinematic frame descriptions, camera angles, lighting notes, sequence numbers, metadata fields, and AI-generated cover images for each frame.
render_markdown — Rich text documents with full Markdown syntax and optional AI-generated images via a prompt field.
render_map — Geographic maps with location markers using GeoJSON coordinates and emoji markers.
layout_board — After creating multiple visualizations, call this tool to automatically arrange them into a professional bento-box grid layout with a titled section wrapper. This is only available when using the MockFlow Desktop App or IdeaBoard for Mac, where the AI creates visuals directly on your open canvas.
The IdeaBoard MCP Server is available in four configurations, each designed for a different workflow.
1. Loginless Web MCP — Easiest: No Install, No Login
Add https://app.mockflow.com/ideaboard/mcp as a connector in Claude.ai or ChatGPT. No installation, no MockFlow account, no setup. A new board is created for each visualization and you get a shareable URL.
How to set up:
1. Open Claude.ai → Settings → Connectors
2. Paste: https://app.mockflow.com/ideaboard/mcp
3. Ask Claude to create a flowchart — done.
Best for: Managers, marketers, and anyone who uses Claude.ai or ChatGPT in the browser. No technical knowledge needed.
2. MockFlow Desktop App — Most Powerful: Direct on Canvas
Built into the MockFlow Desktop App. Your AI creates visuals directly on your open IdeaBoard canvas in real time — no URLs, no waiting. This is the most powerful option because it includes all tools plus the exclusive layout_board tool for bento grid layouts, and it works with both cloud projects and local file-mode (.board) projects.
How to set up:
1. Open the MockFlow Desktop App → open an IdeaBoard project
2. In Claude Code or Cursor, run: claude mcp add --transport http -s user mockflow-ideaboard http://localhost:21193/mcp
3. Ask your AI to create any visualization — it appears directly on your canvas.
Best for: Designers, product teams, and daily MockFlow users.
3. IdeaBoard for Mac (Standalone) — Native Mac Experience
The standalone https://apps.apple.com/in/app/mockflow-ideaboard/id6751854527?mt=12 includes the same built-in MCP server as the full Desktop App. Get a dedicated, lightweight brainstorming application with full MCP support — including layout_board and direct-on-canvas rendering. This is ideal if you want IdeaBoard as a focused visual thinking tool that does not use MockFlow servers and is fully offline. And also one-time payment.
Available at: localhost:21193/mcp (same as Desktop App)
Best for: Mac users who want a lightweight, focused brainstorming app with full AI integration.
4. CLI npm Package — For Developers: Saved to Your Account
Install from npm, authenticate via browser (OAuth), and all boards are saved to your MockFlow account.
How to set up:
1. npm install -g @mockflow/ideaboard-mcp
2. mockflow-ideaboard-mcp login
3. mockflow-ideaboard-mcp
Best for: Developers using Claude Code, Cursor, or VS Code Copilot who want boards saved to their workspace.
The IdeaBoard MCP Server works with any MCP-compatible AI assistant:
- Claude.ai — Add as a connector in Settings → Connectors
- Claude Code — Add via claude mcp add command
- Cursor — Configure as an MCP server in settings
- VS Code Copilot — Connect via MCP configuration
- ChatGPT — Configure as an MCP server in settings
- OpenAI Codex — Configure as an MCP server in settings
One of the most powerful aspects of the IdeaBoard MCP Server is the AI Skills system. IdeaBoard's AI Recipes — the same pre-configured AI workflow templates available inside IdeaBoard's Recipe Library — can now be exported and downloaded as Agent Skills for Claude Code and other AI assistants.

AI Recipes are curated, ready-to-use AI gen templates inside IdeaBoard. Each recipe is a fully configured AI Prompt Box that includes a title, system instructions, output type, placeholder guidance, model preferences, and an icon. Previously, these lived only inside IdeaBoard.
Now, any recipe can be exported as a skill file that your AI assistant understands natively.
Each skill is a lightweight configuration file (SKILL.md) that teaches your AI assistant how to use a specific IdeaBoard MCP tool for a specific task. Install a skill once, and it triggers automatically when your AI detects a matching intent. You can also invoke skills directly.
For example, with the Decision Flowchart skill installed, simply asking Claude Code "Should I use React or Vue for this project?" automatically triggers the skill, which calls render_flowchart to create a structured yes/no decision tree — no manual tool selection needed.
Browse and Download from https://mockflow.com/skills

You can also create custom skills inside IdeaBoard using the AI Prompt Box component. Configure a Prompt Box with your specific instructions, output type, and system prompt, then export it as a Claude Code skill. This means your team's custom brainstorming workflows — tailored to your industry, brand, or process — become reusable AI skills that any team member can install and use from their terminal or IDE.
- Scan a PRD document on your machine and generate a sprint kanban board with prioritized tasks, assignees, and due dates
- Convert meeting transcripts into structured mind maps of decisions, action items, and open questions
- Create roadmap Gantt charts from project plans and track dependencies across workstreams
- Map customer onboarding journeys directly from user research notes
- Analyze your codebase and generate architecture diagrams showing how services, databases, and APIs connect
- Create ER diagrams from database migration files or schema definitions
- Visualize authentication flows, CI/CD pipelines, or microservice communication as flowcharts
- Generate AWS, Azure, or GCP infrastructure diagrams from Terraform files or deployment configs
- Create customer journey maps from user interview transcripts
- Generate storyboards for product walkthroughs, onboarding flows, or demo videos
- Map cross-functional swimlane diagrams for design review processes
- Build moodboards and brainstorming whiteboards from creative briefs
- Turn campaign strategy documents into content calendars with scheduled dates and categories
- Create customer journey maps for specific personas from research data
- Generate competitive analysis charts and comparison tables from market research
- Build mind maps from brand strategy documents to align teams on positioning
- Generate cinematic storyboards from scripts with camera angles, shot types, and scene descriptions
- Create shot lists as kanban boards organized by scene and priority
- Build production schedules as Gantt charts with crew assignments and dependencies
- Plan editorial calendars for content production pipelines
- Convert lecture notes or textbooks into structured mind maps for study guides
- Create flowcharts for scientific processes, algorithms, or historical decision trees
- Generate quiz content and study plans from curriculum documents
- Build knowledge graphs from research papers showing concept relationships
- Visualize CSV files and datasets as charts, tables, or spreadsheets with calculated fields
- Create geographic visualizations from location data
- Generate timeline visualizations from event logs or historical data
- Convert raw data into presentation-ready charts with eight visualization types
The whiteboarding MCP space is still emerging. Most available options are either generic drawing tools or text-based diagram renderers. IdeaBoard MCP is the first purpose-built visual brainstorming MCP server with specialized tools for each visualization type.
The IdeaBoard MCP Server brings MockFlow's visual brainstorming tools to wherever your AI already is. Brainstorm contextually, visualize your data contextually, and collaborate visually — all without leaving your workflow. MCP is available on free plans also but with rate limits.
For more information visit: https://mockflow.com/mcp