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 Tyler-R-Kendrick/agent-skills --skill mcpgit clone --depth 1 https://github.com/Tyler-R-Kendrick/agent-skillsWrote 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/tyler-r-kendrick/agent-skills/mcp)<a href="https://agentmods.dev/skills/tyler-r-kendrick/agent-skills/mcp"><img src="https://agentmods.dev/badge/skills/tyler-r-kendrick/agent-skills/mcp/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/tyler-r-kendrick/agent-skills/mcp"><img src="https://agentmods.dev/badge/skills/tyler-r-kendrick/agent-skills/mcp.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 | $0.00087 | $0.01072 |
| Opus 5.5 | $0.00035 | $0.00429 |
| Sonnet 5.5 | $0.00017 | $0.00214 |
| Haiku 4.5 | $0.00009 | $0.00107 |
Grade A, and why
mcp 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 2mo 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP — Model Context Protocol
Overview
MCP is an open protocol from Anthropic that standardizes how AI agents discover and use tools, access resources, and receive prompts from external servers. It enables a universal interface between AI models and the systems they interact with.
Architecture
Host (Claude, VS Code, IDE)
└── Client (maintains 1:1 connection)
└── Server (exposes tools, resources, prompts)
Core Primitives
Tools
Functions the agent can call:
{
"name": "get_weather",
"description": "Get current weather for a city",
"inputSchema": {
"type": "object",
"properties": {
"city": { "type": "string" }
},
"required": ["city"]
}
}
Resources
Data the agent can read (files, database records, API responses):
{
"uri": "file:///project/config.json",
"name": "Project Configuration",
"mimeType": "application/json"
}
Prompts
Reusable prompt templates the server can offer:
{
"name": "summarize",
"description": "Summarize a document",
"arguments": [
{ "name": "content", "description": "Text to summarize", "required": true }
]
}
Transport Options
| Transport | Use Case |
|---|---|
| stdio | Local servers running as child processes |
| Streamable HTTP | Remote servers over HTTP with SSE streaming |
Building an MCP Server (Python)
from mcp.server.fastmcp import FastMCP
mcp = FastMCP("weather-server")
@mcp.tool()
def get_weather(city: str) -> str:
"""Get current weather for a city."""
return f"Sunny, 72°F in {city}"
@mcp.resource("config://app")
def get_config() -> str:
"""Return application configuration."""
return '{"theme": "dark", "lang": "en"}'
Building an MCP Server (TypeScript)
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
const server = new McpServer({ name: "weather-server", version: "1.0.0" });
server.tool("get_weather", { city: z.string() }, async ({ city }) => ({
content: [{ type: "text", text: `Sunny, 72°F in ${city}` }],
}));
const transport = new StdioServerTransport();
await server.connect(transport);
What ships with it
12 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.
- AGENTS.md 3.5 KB
- metadata.json 751 B
- README.md 599 B
- rules/_sections.md 1.5 KB
- rules/_template.md 362 B
- rules/mcp-implement-proper-error-handling.md 323 B
- rules/mcp-keep-tool-descriptions-clear-and-specific.md 352 B
- rules/mcp-return-structured-data-json-from-tools-when-possible-for.md 375 B
- rules/mcp-use-json-schema-for-inputschema-with-required-fields.md 386 B
- rules/mcp-use-resources-for-read-only-data-access-and-tools-for.md 364 B
- rules/mcp-use-stdio-transport-for-local-development-and-streamable.md 397 B
- rules/mcp-version-your-server-capabilities-so-clients-can-adapt-to.md 355 B
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.
- 2mo ago First seen · 143 lines · 87 tokens per session scan A 2bfecc8042d9
mcp is a skill published in the GitHub repository Tyler-R-Kendrick/agent-skills (13 stars, last pushed 5mo ago), licensed MIT. It adds 87 tokens to every session and 1,072 once invoked, about $0.0003 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 2026-08-31.
mcp compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcpTyler-R-Kendrick/agent-skills | Skill | 13 | 5mo ago | MIT | A | 87 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |