# Canva MCP Server

> Canva MCP Server is an officially published MCP server from Canva. Anomity scores its risk at 20 out of 100 (low).

- **Canonical URL:** https://catalog.anomity.ai/mcp/canva-mcp-server
- **Kind:** MCP server
- **Publisher:** Canva
- **Trust level:** official
- **Risk score:** 20/100 (low)
- **Website:** https://www.canva.dev/docs/apps/mcp-server/
- **Documentation:** https://www.canva.dev/docs/apps/mcp-server/
- **Last updated:** 2026-09-02
- **JSON:** https://catalog.anomity.ai/api/entries/mcp/canva-mcp-server

## Description

Canva's official MCP server lets agents work with designs, assets, exports, and comments — generating or modifying a design and exporting it without leaving the assistant.

Declared capabilities are outbound network access and credential access. Brand assets and unreleased marketing material are the sensitive content here, and export is the egress path: an agent that can export a design can produce a shareable artifact of anything in the account. For teams using Canva as a brand system of record, scope the connection to a folder rather than the whole account.

## Why it scored 20

The score starts at the catalog's neutral base of 50 and moves only through the signals below. The formula is published at https://catalog.anomity.ai/about — there is no model and no hidden heuristic.

| Signal | Contribution | Severity | Evidence |
| --- | --- | --- | --- |
| Published by the vendor | -40 | trust offset |  |
| 1 high-risk capability: credentials:access | +10 | high |  |

Clamped result: **20/100**, band **low**.

## Capabilities

| Capability | Name | Security implication |
| --- | --- | --- |
| `network:outbound` | Outbound network | Can make outbound network requests. Required for hosted model providers and remote APIs; also the path for data exfiltration if combined with read access. |
| `credentials:access` | Credentials access | Reads provider API keys, OAuth tokens, or other secrets from the host keychain or environment. |

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Source: Anomity Catalog (https://catalog.anomity.ai/). Scoring methodology: https://catalog.anomity.ai/about. Machine-readable index: https://catalog.anomity.ai/llms.txt · https://catalog.anomity.ai/openapi.json