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 jpoutrin/product-forge --skill mcp-architecturegit clone --depth 1 https://github.com/jpoutrin/product-forgeWrote 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/jpoutrin/product-forge/mcp-architecture)<a href="https://agentmods.dev/skills/jpoutrin/product-forge/mcp-architecture"><img src="https://agentmods.dev/badge/skills/jpoutrin/product-forge/mcp-architecture/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/jpoutrin/product-forge/mcp-architecture"><img src="https://agentmods.dev/badge/skills/jpoutrin/product-forge/mcp-architecture.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 | $0.00039 | $0.03500 |
| Opus 5 | $0.00019 | $0.01750 |
| Sonnet 5 | $0.00008 | $0.00700 |
| Haiku 4.5 | $0.00004 | $0.00350 |
Grade A, and why
mcp-architecture scanned grade A with 1 finding 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 9d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run( How it starts
The opening of the file, as written. The whole thing — 534 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Architecture Skill
This skill provides comprehensive knowledge of the Model Context Protocol (MCP) specification, implementation patterns, and operational best practices.
MCP Architecture Overview
Client-Host-Server Model
┌─────────────────────────────────────────────────────────┐
│ HOST │
│ (Claude Desktop, IDE Extension, AI Application) │
│ │
│ ┌─────────────┐ ┌─────────────┐ │
│ │ Client A │ │ Client B │ (MCP Clients) │
│ └──────┬──────┘ └──────┬──────┘ │
└──────────┼──────────────────┼───────────────────────────┘
│ │
┌─────▼─────┐ ┌─────▼─────┐
│ Server A │ │ Server B │ (MCP Servers)
│ (Local) │ │ (Remote) │
└───────────┘ └───────────┘
- Host: Application containing the LLM (Claude Desktop, IDE)
- Client: Protocol handler within the host, one per server connection
- Server: Exposes resources, tools, and prompts via MCP
Transport Protocols
| Transport | Use Case | Characteristics |
|---|---|---|
| stdio | Local servers | Subprocess communication, simplest setup |
| Streamable HTTP | Remote servers | HTTP/SSE, supports auth, firewall-friendly |
| WebSocket | Bidirectional | Real-time, persistent connection |
MCP Primitives
1. Resources (Data Exposure)
Resources expose data/content for the LLM to read. They are application-controlled (host decides when to include).
# Python (FastMCP)
from fastmcp import FastMCP
mcp = FastMCP("my-server")
@mcp.resource("config://app/settings")
def get_settings() -> str:
"""Application configuration settings."""
return json.dumps(load_settings())
@mcp.resource("file://{path}")
def read_file(path: str) -> str:
"""Read a file from the workspace."""
return Path(path).read_text()
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.
- 9d ago First seen · 534 lines · 39 tokens per session scan A a8072fe54f2c
mcp-architecture is a skill published in the GitHub repository jpoutrin/product-forge (16 stars, last pushed 6mo ago), licensed MIT. It adds 39 tokens to every session and 3,500 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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