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 skills add AI-Riksarkivet/ra-mcp --skill ra-mcp-appsgit clone --depth 1 https://github.com/AI-Riksarkivet/ra-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/skills/ai-riksarkivet/ra-mcp/ra-mcp-apps)<a href="https://agentmods.dev/skills/ai-riksarkivet/ra-mcp/ra-mcp-apps"><img src="https://agentmods.dev/badge/skills/ai-riksarkivet/ra-mcp/ra-mcp-apps/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/skills/ai-riksarkivet/ra-mcp/ra-mcp-apps"><img src="https://agentmods.dev/badge/skills/ai-riksarkivet/ra-mcp/ra-mcp-apps.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.01239 |
| Opus 5 | $0.00023 | $0.00620 |
| Sonnet 5 | $0.00009 | $0.00248 |
| Haiku 4.5 | $0.00005 | $0.00124 |
Grade A, and why
ra-mcp-apps 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 11d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Apps — Quick Reference
Server (FastMCP) ↔ Host (Claude/ChatGPT) ↔ View (sandboxed iframe). The View and Server never talk directly.
Supporting Files
- patterns.md — MCP Apps patterns: polling, chunked data, theming, fullscreen, view persistence (Brick Builder), per-view state, autoResize, command queues
- csp-cors.md — CSP configuration, CORS, stable origins, connectDomains vs resourceDomains
- testing.md — Testing with basic-host, Claude.ai, VS Code, tunnels
Data Flow
| Field | LLM sees? | View sees? | Use for |
|---|---|---|---|
content |
Yes | Yes | Short text summary for model context |
structuredContent |
No* | Yes | Rich data for UI rendering |
_meta |
No | Yes | viewUUID, timestamps, metadata |
*ChatGPT exposes structuredContent to both.
Tool Visibility
| Visibility | LLM? | View? | Use case |
|---|---|---|---|
["model", "app"] (default) |
Yes | Yes | General tools |
["model"] |
Yes | No | LLM-only triggers |
["app"] |
No | Yes | Pagination, refresh, polling, dangerous actions |
Server Quick Start (FastMCP 3.4+)
from fastmcp import FastMCP, Context
from fastmcp.apps import AppConfig, ResourceCSP, UI_EXTENSION_ID
from fastmcp.tools import ToolResult
from mcp import types
mcp = FastMCP("My App")
RESOURCE_URI = "ui://my-app/view.html"
# Tool with UI — creates an iframe
@mcp.tool(app=AppConfig(resource_uri=RESOURCE_URI))
async def show_data(query: str, ctx: Context) -> ToolResult:
has_ui = ctx.client_supports_extension(UI_EXTENSION_ID)
return ToolResult(
content=[types.TextContent(type="text", text="Summary for LLM")],
structured_content={"data": [...], "query": query},
)
# App-only tool — View calls this, LLM never sees it
@mcp.tool(app=AppConfig(resource_uri=RESOURCE_URI, visibility=["app"]))
async def load_page(page: int) -> ToolResult: ...
# Resource — serves the bundled HTML
@mcp.resource(uri=RESOURCE_URI)
def get_ui() -> str:
return Path("dist/mcp-app.html").read_text()
What ships with it
3 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.
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.
- 11d ago First seen · 119 lines · 47 tokens per session scan A 852b2adee195
ra-mcp-apps is a skill published in the GitHub repository AI-Riksarkivet/ra-mcp (23 stars, last pushed yesterday), licensed Apache-2.0. It adds 47 tokens to every session and 1,239 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
daily-briefing
Start your day with a prioritized CRM briefing — works for any monday CRM setup: pipeline, contacts, accounts, leads, or no board at all. Use when someone says 'morning briefing', 'daily brief', 'what's on my plate today', 'catch me up on my deals', 'what needs attention', 'what needs my attention', 'anything urgent…
workspace-builder
Build a CRM workspace from scratch — describe your business and get boards, columns, and pipeline stages created in monday. Use when someone says "set up my CRM", "build me a CRM", "create CRM boards for me", "I need a new sales pipeline", "help me get started in monday", "I don't know how to set up my pipeline", or…
meeting-to-deal
Turn meeting transcripts into deal updates — key points, commitments, and next steps posted to matching CRM deals automatically. Auto-creates contacts for new attendees. Use when someone says "log my meetings to deals", "update CRM from calls", "what did I commit to in meetings", "sync notetaker", "log this meeting"…
forecast
Build a forecast dashboard in monday — committed, best-case, and pipeline views by close month, rendered as real dashboard widgets. Use when someone says "build me a forecast", "show me Q2 pipeline", "Salesforce-style forecast", "forecast dashboard", "commit vs best-case", "what's our number this quarter", "how are we…
run-sequence
Manage CRM sequences end-to-end — list, create, enroll contacts, activate/deactivate, duplicate, and track performance. Use when someone says "what sequences do I have", "create a welcome sequence", "enroll this contact in a sequence", "add these leads to my nurture sequence", "deactivate the cold outreach sequence"…
log-activity
Log calls, meetings, notes, and other activities to CRM item timelines — structured records with attendees, outcomes, and follow-ups. Use when someone says "log my call with", "add a note to the deal", "what activities happened on", "record this meeting", "update my note on", "track a call with", "log a meeting with"…