TerraVision: MCP server, setup and security

What TerraVision does

According to its repository: “Draw cloud architecture diagrams with the official AWS, Azure and GCP icons from a plain description, a JSON graph or Terraform code, with VPC, subnet and zone grouping. PNG, SVG and editable draw.io output.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. TerraVision is listed under Design, art and accessibility, a category of 95 servers in the directory, where it ranks #6 by stars.

Topics declared by the repository: agent-skill, architecture-diagram, cloud-architecture, diagrams-as-code, docs-as-code, drawio.

Installing and connecting TerraVision

Distribution modes declared in the official MCP registry:

• PyPI package (Python, started with uvx or pip)

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python. Listed systems: macOS, Windows, Linux.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to TerraVision. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on March 13, 2022, the patrickchugh/terravision repository has 1,660 stars and 178 forks, with 17 open issues. It has more stars than 94% of the servers in the directory. It received changes this month. Version published in the registry: 0.56.0 (October 19, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.