Borrowing it
Nothing to install: this file belongs to MingGH/doubao-seedream-mcp. 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/MingGH/doubao-seedream-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/MingGH/doubao-seedream-mcpWrote 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/minggh/doubao-seedream-mcp/agents-md)<a href="https://agentmods.dev/instructions/minggh/doubao-seedream-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/minggh/doubao-seedream-mcp/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/minggh/doubao-seedream-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/minggh/doubao-seedream-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00614 | $0.00614 |
| Opus 5.5 | $0.00246 | $0.00246 |
| Sonnet 5.5 | $0.00123 | $0.00123 |
| Haiku 4.5 | $0.00061 | $0.00061 |
Grade A, and why
doubao-seedream-mcp AGENTS.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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Project Overview
This is a Cloudflare Workers-based MCP (Model Context Protocol) server that wraps the Volcengine Doubao Seedream image generation API. It exposes 4 MCP tools for AI agents to generate images.
Architecture
- Runtime: Cloudflare Workers (stateless, Streamable HTTP transport)
- MCP SDK:
@modelcontextprotocol/sdk+agents(Cloudflare's agents framework) - Language: TypeScript
- Build: Wrangler (Cloudflare's CLI tool)
Project Structure
src/
├── index.ts # Worker entry point, MCP server factory, tool definitions
├── client.ts # HTTP client for Volcengine Ark API
└── types.ts # TypeScript type definitions
Key Design Decisions
-
Per-request server instantiation: Each request creates a new
McpServerinstance viacreateServer(apiKey, model). This is required by MCP SDK 1.26.0+ to prevent response leakage between clients. -
Header-based authentication: API key and model are extracted from HTTP request headers (
Authorization,X-Model), enabling multi-tenant usage without server-side secrets. -
Closure-based config passing: Since MCP tool handlers don't receive HTTP headers directly,
apiKeyandmodelare captured via closure when tools are registered increateServer(). -
Dual return format: Tools support both
url(text content with download link) andb64_json(MCP image content for direct rendering) via theresponse_formatparameter.
Tools
| Tool | Purpose |
|---|---|
text_to_image |
Generate single image from text prompt |
image_to_image |
Generate image from reference image(s) + text |
generate_image_group |
Generate multiple related images (sequential) |
search_and_generate |
Web search-enhanced image generation |
External API
- Endpoint:
POST https://ark.cn-beijing.volces.com/api/v3/images/generations - Auth: Bearer token in Authorization header
- Docs: https://www.volcengine.com/docs/82379/1541523
Development Commands
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.
- 2mo ago First seen · 66 lines · 614 tokens per session scan A e26cc8ba5926
doubao-seedream-mcp AGENTS.md is an instructions file published in the GitHub repository MingGH/doubao-seedream-mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 614 tokens to every session, about $0.0025 per session on Opus 5.5. 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.
doubao-seedream-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| doubao-seedream-mcp AGENTS.mdMingGH/doubao-seedream-mcp | Instructions file | 0 | 5mo ago | MIT | A | 614 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |