Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/veedubin/videre-mcp/agents-md)<a href="https://agentmods.dev/instructions/veedubin/videre-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/veedubin/videre-mcp/agents-md.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 | $0.02150 | $0.02150 |
| Opus 5 | $0.01075 | $0.01075 |
| Sonnet 5 | $0.00430 | $0.00430 |
| Haiku 4.5 | $0.00215 | $0.00215 |
Grade A, and why
Videre-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 5d 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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
videre-mcp Agent Guide
What videre-mcp Does
videre-mcp is an MCP server that lets text-only coding models see images. It loads a local Florence-2 vision model and exposes six tools that convert images, SVGs, and screenshots into structured text descriptions.
Screenshot → videre-mcp (Florence-2) → Text description → Your coding model
Your coding model doesn't need vision capabilities — videre-mcp handles the vision part and returns plain text.
When to Use Each Tool
| Tool | Use When | Don't Use When |
|---|---|---|
describe_image |
You need to know what's in a photo, diagram, or illustration | You need text extraction (use ocr_image) |
ocr_image |
You need to extract text from an image (code screenshots, documents, error messages) | You need to understand UI layout (use describe_screenshot) |
describe_screenshot |
You need to understand a UI layout — what buttons, fields, panels are on screen and where | You need a general description of a photo |
take_screenshot |
You need to see what's currently on screen AND understand it | You already have a screenshot file |
ocr_paddle |
You need high-accuracy OCR for multi-language documents | You need simple English OCR (use ocr_image) |
parse_document |
You need to extract structured content from PDF/DOCX/PPTX | You need to describe an image (use describe_image) |
Tool Reference
describe_image(image_path, detail_level="normal", model_mode="fast")
Returns a natural language description of the image contents.
detail_level="normal"→ brief caption (e.g. "A white dog sitting on a couch")detail_level="high"→ detailed description (e.g. "A small white dog with floppy ears sitting on a brown leather couch in a sunlit living room...")
Return format:
{
"description": "...",
"model": "Florence-2-base",
"prompt_used": "<DETAILED_CAPTION>"
}
ocr_image(image_path, detail_level="normal", model_mode="fast")
Extracts text from an image.
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.
- 5d ago First seen · 217 lines · 2,150 tokens per session scan A 95ef6950f89e
Videre-MCP AGENTS.md is an instructions file published in the GitHub repository Veedubin/Videre-MCP (0 stars, last pushed 12d ago), licensed MIT. It adds 2,150 tokens to every session, about $0.0107 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.
Other instructions, from other repositories
mcp-pandoc AGENTS.md
Instructions for vivekVells/mcp-pandoc, covering agents.md, what this is, where things are, deeper context and commands.
agentic-resume-builder CLAUDE.md
Claude Code instructions for WtotdeD/agentic-resume-builder, covering agentic-resume-builder development guidelines, what this repo is, active technologies, package manager and validation.
fcp-sheets CLAUDE.md
Instructions for os-tack/fcp-sheets, covering fcp-sheets, project overview, architecture, key patterns and commands.
paperless-ngx-mcp-server CLAUDE.md
Claude Code instructions for cbsmiley/paperless-ngx-mcp-server, covering claude.md, project overview, common commands, architecture and entry points.
hermes-procurement-pricing-mcp AGENTS.md
AGENTS.md instructions for felix-windsor/hermes-procurement-pricing-mcp, a project described as: Secure procurement quotation comparison MCP service with document parsing, mock market pricing, anomaly detection, and Telegram/Hermes integration.
mcp-svg-marp CLAUDE.md
Claude Code instructions for koppe-pan/mcp-svg-marp, covering mcp-svg-marp tool instructions, mcp tools available, 📊 convertsvgtomarp, 🔍 analyzesvg and automatic slide creation workflow.