Borrowing it
Nothing to install: this file belongs to ragna-ai/mcp-google-vertex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ragna-ai/mcp-google-vertex/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/ragna-ai/mcp-google-vertexWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/ragna-ai/mcp-google-vertex/copilot-instructions)<a href="https://agentmods.dev/instructions/ragna-ai/mcp-google-vertex/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/ragna-ai/mcp-google-vertex/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00244 | $0.00244 |
| Opus 5 | $0.00122 | $0.00122 |
| Sonnet 5 | $0.00049 | $0.00049 |
| Haiku 4.5 | $0.00024 | $0.00024 |
Grade A, and why
mcp-google-vertex copilot-instructions.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
MCP Google Vertex AI Server
Project Setup Checklist
- Verify that the copilot-instructions.md file in the .github directory is created
- Clarify Project Requirements - TypeScript MCP server for Google Vertex AI image/video generation
- Scaffold the Project
- Customize the Project
- Install Required Extensions (none required)
- Compile the Project
- Create and Run Task
- Launch the Project
- Ensure Documentation is Complete
Project Summary
This is a fully functional MCP server for Google Vertex AI that provides:
- Image generation using Imagen 3 model
- Video generation using Veo model
- Local storage for generated content
- Environment-based configuration
- Express v5 HTTP transport
- Full TypeScript implementation
- DRY architecture with clean separation of concerns
To use this server:
- Configure your
.envfile with Google Cloud credentials - Run
npm startto launch the server - Connect via MCP clients (Claude Desktop, VS Code, etc.)
- Use the
generate-imageandgenerate-videotools
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 33 lines · 244 tokens per session scan A e1955ab11bda
mcp-google-vertex copilot-instructions.md is an instructions file published in the GitHub repository ragna-ai/mcp-google-vertex (1 stars, last pushed 2mo ago), licensed MIT. It adds 244 tokens to every session, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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