Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/unstructured-io/unstructured-mcp-integrations/transformgit clone --depth 1 https://github.com/Unstructured-IO/unstructured-mcp-integrationsWhat 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 | $0.00272 | $0.00272 |
| Opus 5 | $0.00136 | $0.00136 |
| Sonnet 5 | $0.00054 | $0.00054 |
| Haiku 4.5 | $0.00027 | $0.00027 |
Grade A, and why
transform 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 yesterday.
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
unstructured-transform: When the user shares or references a document file — a PDF, DOCX, PPTX, XLSX, HTML, EML, image, or scan — and wants its contents read, summarized, extracted, or turned into structured data, use the connected transform MCP server rather than trying to read the raw bytes yourself.
Workflow:
- If the file is reachable at a public
https://URL, pass that URL straight to the transform job — no upload needed. - If it is a local path or lives in the workspace, request an upload URL first,
PUTthe bytes to it, then start the job with the returned file reference. - Start the transform job (Markdown output is the best default for reasoning over the content; use JSON when the user needs element/layout structure), poll until it finishes, then read back the structured result.
Prefer this over manual parsing for anything scanned, image-based, or table-heavy — the server handles OCR, layout, tables, chunking, and embeddings across 60+ formats. Never paste an API key into chat; the server signs in via OAuth on first use.
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.
- yesterday First seen · 14 lines · 272 tokens per session scan A d5b705ddcae9
transform is a cursor rule published in the GitHub repository Unstructured-IO/unstructured-mcp-integrations (1 stars, last pushed 28d ago), licensed Apache-2.0. It adds 272 tokens to every session, about $0.0014 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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