Which integrations are available for this server?

Provides tools for generating design briefs and staging assets for Canva, enabling AI agents to create design briefs and prepare asset manifests for Canva's API.

How do I use Canva MCP — Workspace Assistant (PoC)?

This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.

Canva MCP — Workspace Assistant (PoC)

by rifaterdemsahin

Overview Schema Source Related Servers Discussions Admin

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canva-mcp — Canva Workspace Assistant (PoC)

https://rifaterdemsahin.github.io/canva-mcp/index.html

A proof-of-concept MCP (Model Context Protocol) server that augments the @canva/cli MCP capabilities with custom workspace-assistant tools for design brief generation and asset staging — structured on the Delivery Pilot 7-stage self-learning framework with 7 dedicated AI agents.

Quickstart

The MCP server code lives in 5_Symbols/mcp-server/:

cd 5_Symbols/mcp-server

# Install dependencies
npm install

# Build TypeScript
npm run build

# Start the custom MCP server (stdio)
npm start

# Development mode with hot-reload
npm run dev

# Launch the native Canva CLI MCP server
npm run mcp

See 5_Symbols/mcp_server.md for MCP host configuration (Claude Desktop / Cursor / VS Code) and the PoC checklist.

Related MCP server: Canva MCP Server

Secrets — Azure Key Vault

All secrets are stored in the existing Azure Key Vault dp-kv-deliverypilot (/vaults/dp-kv-deliverypilot/secrets). Do not create a new Key Vault.

# Get a secret
5_Symbols/toolbox/secrets.sh get canva-mcp-CANVA-CLIENT-ID

# Save a secret
5_Symbols/toolbox/secrets.sh set canva-mcp-CANVA-CLIENT-ID "<value>"

Secret (vault name)	Env var	Purpose
`canva-mcp-CANVA-CLIENT-ID`	`CANVA_CLIENT_ID`	Canva Developer App Client ID
`canva-mcp-CANVA-CLIENT-SECRET`	`CANVA_CLIENT_SECRET`	Canva Developer App Client Secret

Agentic Workflow

graph TD
    USER["User Task"]
    RA["Real Agent<br/>1_Real_Unknown<br/>Coordinator: OKRs, tasks, risks"]
    EA["Environment Agent<br/>2_Environment<br/>Blueprints, tools, deps, costs, context"]
    SA["Simulation Agent<br/>3_Simulation<br/>Visual designs, mockups, versions"]
    FA["Formula Agent<br/>4_Formula<br/>Specs, approval gate"]
    SYA["Symbols Agent<br/>5_Symbols<br/>Code implementation"]
    TA["Test Agent<br/>7_Testing_Known<br/>Smoke tests, code reviews"]
    SEA["Semblance Agent<br/>6_Semblance<br/>Error fixes, lessons, sub-agents"]
    LOG["llm_thinking_log.md<br/>Agent Communication Hub"]

    USER --> RA
    RA -->|dispatches| EA
    EA -->|blueprints| SA
    SA -->|designs| FA
    FA -->|specs + approval| SYA
    SYA -->|code| TA
    TA -->|errors found| SEA
    SEA -->|lessons + fixes| RA
    RA --> LOG
    EA --> LOG
    SA --> LOG
    FA --> LOG
    SYA --> LOG
    TA --> LOG
    SEA --> LOG

    style RA fill:#8b5cf6,color:#fff
    style EA fill:#06b6d4,color:#fff
    style SA fill:#10b981,color:#fff
    style FA fill:#f59e0b,color:#fff
    style SYA fill:#ef4444,color:#fff
    style TA fill:#3b82f6,color:#fff
    style SEA fill:#ec4899,color:#fff
    style LOG fill:#1e293b,color:#94a3b8

How the agents communicate: All 7 agents write their reasoning to 4_Formula/llm_thinking_log.md. Upstream agents log their decisions; downstream agents read those logs before acting. The Semblance Agent closes the loop by feeding resolved errors and lessons back to the Real Agent.

🧠 Cognitive Mapping — 7 Stages to Self-Learning

Stage	Folder	Cognitive Step	Agent
1	`1_Real_Unknown`	Active Ignorance — State what you don't know	Real Agent
2	`2_Environment`	Mental Sandbox — Build context and constraints	Environment Agent
3	`3_Simulation`	Visualization — Make the invisible visible	Simulation Agent
4	`4_Formula`	Synthesis — Plan, spec, and decide	Formula Agent
5	`5_Symbols`	Execution — Turn plans into reality	Symbols Agent
7	`7_Testing_Known`	Validation — Prove it works	Test Agent
6	`6_Semblance`	Feedback Loop — Learn from errors, improve	Semblance Agent

Project Structure

canva-mcp/
├── 1_Real_Unknown/        # Problem statement, OKRs, tasks, risks
├── 2_Environment/         # Architecture, setup guides, tools, MCP docs
├── 3_Simulation/          # Design workflow, image prompts
├── 4_Formula/             # Specs, decisions, LLM thinking log
├── 5_Symbols/             # Code — the MCP server lives here
│   ├── mcp-server/        #   TypeScript MCP server (src/, tools/)
│   ├── rules/             #   Coding standards
│   └── toolbox/           #   nav_sync, smoke_test, secrets.sh
├── 6_Semblance/           # Error logs, fixes, lessons learned
├── 7_Testing_Known/       # Smoke tests, validation reports
├── agents.md              # Agent coordination rules
└── index.html             # GitHub Pages entry point

How to use

Fork or clone this repo
Read agents.md for agent coordination rules
Read 1_Real_Unknown/prompts.md for the project management framework
Start with 1_Real_Unknown/ — define your problem
Let AI agents guide you through each stage

🎠 Simulation Gallery

The home page carousel auto-plays the real screenshots of the Canva connection journey, loaded from 3_Simulation/carousel_config.json:

Connector OAuth (7 steps) — team-admin restriction → admin whitelists the AI Connector → consent → PKCE auth-code callback (3_Simulation/canva_oauth_01–07)
Canva CLI login (3 steps) — CLI blocked by team admin → admin whitelists Canva CLI → "Successfully logged in to Canva CLI" (3_Simulation/canva_cli_01–03)

See it live on the project home page · full step-by-step narration in 3_Simulation/image_prompts.md · workflow in 3_Simulation/design_workflow.md.

The Connect API integration (OC-AZ9VpNJiU0ps) is submitted for Canva review (in queue since 2026-07-12) — status tracked in 2_Environment/mcp.md.

License

MIT

This server cannot be deployed

Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

Maintenance

ActivitySlowing

ResponsivenessNo issues

Resources

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