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mcp-visual-output

mcp-visual-output is a skill for Claude Code from yonatangross/orchestkit. It costs 48 tokens per session (2,830 once invoked), scanned A, original, MIT.

A way to turn an MCP tool's JSON response into an interactive dashboard inside an AI chat application. MCP is a standard for connecting AI assistants to external tools and data.

In plain words
What is it for?
Use it to display tool results as statistic grids, tables, status badges, and other sandboxed interactive views.
Why use it?
It makes structured results easier to read when plain text or raw JSON is too difficult to scan.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions Claude Code.

Part of the ork plugin — 115 skills, 43 commands, 36 agents, 32 hooks shipped together

not rated 299repo +1 changed 2d ago A scan SkillSpector: pass 48 tokens original MIT

Good fit Use it to display tool results as statistic grids, tables, status badges, and other sandboxed interactive views.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yonatangross/orchestkit/mcp-visual-output
View source ↗ yonatangross/orchestkit orchestkit.dev
Install

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.

Any agent
npx skills add yonatangross/orchestkit --skill mcp-visual-output
Clone the repo
git clone --depth 1 https://github.com/yonatangross/orchestkit

Made for: Claude Code.

Or install ork, the plugin that ships this one along with the rest of its 115 skills, 43 commands, 36 agents, 32 hooks.

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.

agentmods badge for mcp-visual-output

README.md
[![agentmods](https://agentmods.dev/badge/skills/yonatangross/orchestkit/mcp-visual-output/github.svg)](https://agentmods.dev/skills/yonatangross/orchestkit/mcp-visual-output)
Your own site
<a href="https://agentmods.dev/skills/yonatangross/orchestkit/mcp-visual-output"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/mcp-visual-output/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.

agentmods 80×15 button for mcp-visual-output

Your own site · 80×15
<a href="https://agentmods.dev/skills/yonatangross/orchestkit/mcp-visual-output"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/mcp-visual-output.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,830 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.02830
Opus 5.5 $0.00019 $0.01132
Sonnet 5.5 $0.00010 $0.00566
Haiku 4.5 $0.00005 $0.00283

Measured 2d ago against content hash 5165774d04f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mcp-visual-output 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/glyph-card-server.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/ork/skills/mcp-visual-output/SKILL.md · 271 lines

How it starts

The opening of the file, as written. The whole thing — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Upstream version reference: @json-render/mcp 0.21.3 (2026-10-24).

MCP Visual Output

Upgrade plain MCP tool responses to interactive dashboards rendered inside AI conversations. Built on @json-render/mcp, which bridges the json-render spec system with MCP's tool/resource model -- the AI generates a typed JSON spec, and a sandboxed iframe renders it as an interactive UI.

Building an MCP server from scratch? Use ork:mcp-patterns for server setup, transport, and security. This skill focuses on the visual output layer after your server is running.

Need the full component catalog? See ork:json-render-catalog for all available components, props, and composition patterns.

Decision Tree -- Which File to Read

What are you doing?
|
+-- Setting up visual output for the first time
|   +-- New MCP server -----------> rules/mcp-app-setup.md
|   +-- Existing MCP server ------> rules/mcp-app-setup.md (registerJsonRenderTool section)
|
+-- Configuring security / sandbox
|   +-- CSP declarations ----------> rules/sandbox-csp.md
|   +-- Iframe permissions --------> rules/sandbox-csp.md
|
+-- Rendering strategy
|   +-- Progressive streaming -----> rules/streaming-output.md
|   +-- Dashboard layouts ----------> rules/dashboard-patterns.md
|
+-- API reference
|   +-- Server-side API -----------> references/mcp-integration.md
|   +-- Component recipes ----------> references/component-recipes.md

Quick Reference

Category Rule Impact Key Pattern
Setup mcp-app-setup.md HIGH createMcpApp() and registerJsonRenderTool()
Security sandbox-csp.md HIGH CSP declarations, iframe sandboxing
Rendering streaming-output.md MEDIUM Progressive rendering via JSON Patch
Patterns dashboard-patterns.md MEDIUM Stat grids, status badges, data tables

Total: 4 rules across 3 categories

How It Works

  1. Define a catalog -- typed component schemas using defineCatalog() + Zod
  2. Register with MCP -- createMcpApp() for new servers or registerJsonRenderTool() for existing ones
  3. AI generates specs -- the model produces a JSON spec conforming to the catalog
  4. Iframe renders it -- a bundled React app inside a sandboxed iframe renders the spec with useJsonRenderApp() + <Renderer />

Read the full file on GitHub · 271 lines

Files

What ships with it

11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 2d ago Changed · -40 tokens per session 5165774d04f5
  2. 10d ago Changed 8d0e4778bb0f
  3. 15d ago Changed · +4 lines 964603261072
  4. 1mo ago Changed · +2 lines 285d44557b18
  5. 1mo ago Changed · -1 lines ffcebdcf0a1e
  6. 1mo ago Changed f5c1d33caab3
  7. 2mo ago First seen · 266 lines · 88 tokens per session scan A 434ec43c5269

Subscribe to this mod's changes

mcp-visual-output is a skill published in the GitHub repository yonatangross/orchestkit (299 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 2,830 once invoked, about $0.0002 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 2026-09-03.

Building agentsClaude CodeDesign and UXLLMagentsai-developmentclaude-pluginlanggraph
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