Borrowing it
Nothing to install: this file belongs to sandraschi/invokeai-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/sandraschi/invokeai-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/sandraschi/invokeai-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/sandraschi/invokeai-mcp/agents-md)<a href="https://agentmods.dev/instructions/sandraschi/invokeai-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/invokeai-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/sandraschi/invokeai-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/invokeai-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 | $0.00801 | $0.00801 |
| Opus 5.5 | $0.00320 | $0.00320 |
| Sonnet 5.5 | $0.00160 | $0.00160 |
| Haiku 4.5 | $0.00080 | $0.00080 |
Grade A, and why
invokeai-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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
invokeai-mcp — Agent Guide
Fleet MCP server (Creative / Image Generation). Wraps the local InvokeAI engine (port 9090). Ports 11154 (backend) / 11155 (frontend).
Overview
FastMCP 3.4+ bridge: generate (txt2img/img2img/inpaint/upscale), queue, models, gallery, boards, workflows + SOTA dark webapp. Onboarding required (InvokeAI must be installed + running + models installed) - MOCK-until-onboarded UI.
Standards
- FastMCP 3.4.4+ portmanteau + skills (
skill://resource) + Prefab cards - Dual transport: stdio (default) + HTTP
--mode http(MCP/mcp, REST/api/*) - Starlette 1.0 REST (no Pydantic in routes), fleet CORS on outer app
- MCPB:
just mcpb-pack(wipe+recopy src -> mcpb/src, 3-4-100 verified) - Onboarding:
docs/ONBOARDING.md+ red under-hero CTA + MOCK badges - No GitHub Actions while private; local
just ciis the gate
Key files
| Path | Role |
|---|---|
src/invokeai_mcp/server.py |
FastMCP + Starlette app, dual transport |
src/invokeai_mcp/client.py |
Typed InvokeAI REST client |
src/invokeai_mcp/graphs.py |
Graph builders (sd1/sdxl/flux, inpaint, esrgan upscale) |
src/invokeai_mcp/tools/ |
7 portmanteaus + 4 Prefab cards + help/shutdown |
src/invokeai_mcp/api/routes.py |
REST routes (health, dashboard, skills, tools, logs, llm, generate, queue, upload, image proxy, plugins, hf login, engine control) |
src/invokeai_mcp/skills/invokeai-expert/ |
SKILL.md |
webapp/ |
Vite React + Tailwind dark UI + Playwright e2e |
Quick ref
.\start.ps1
uv run pytest tests/ -q
cd webapp; bun run dev
just mcpb-pack # fleet recipe (mcpb/pack.ps1)
just zombies # dry-run port zombie sweep
just zombie-clean
Tool surface (portmanteau)
invokeai_generate (txt2img/img2img/inpaint/upscale/outpaint + seamless/ controlnet/ip-adapter modules + cogview4 family + styles=[...] + artists=[...] multi-dim batches - outpaint via webapp pad+mask), engine control (Settings) + HF token login (Settings + Models HF tab), invokeai_queue (status/list/item_status/result/cancel/clear/resume/pause), invokeai_models (list/get/install/installs/update/delete/stats), invokeai_gallery (list/search/get/metadata/download/delete/star/unstar), invokeai_boards, invokeai_styles (list/get/search/community - 1321 A1111 pack styles), invokeai_artists (list/get/search), invokeai_franchises (list/get/search), invokeai_workflows, invokeai_system (health/version/config/stats), 4 Prefab cards, invokeai_help, invokeai_shutdown.
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 · 62 lines · 801 tokens per session scan A 25a676822392
invokeai-mcp AGENTS.md is an instructions file published in the GitHub repository sandraschi/invokeai-mcp (2 stars, last pushed 12d ago), licensed MIT. It adds 801 tokens to every session, about $0.0032 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.
invokeai-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| invokeai-mcp AGENTS.mdsandraschi/invokeai-mcp | Instructions file | 2 | 12d ago | MIT | A | 801 | 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 |