registeruz-mcp: Instructions file for Claude Code

CLAUDE.md

registeruz-mcp CLAUDE.md is an instructions file for Claude Code from freevisionsk/registeruz-mcp. It costs 817 tokens per session, scanned A, original, MIT.

Project instructions for an MCP server, a program that lets AI agents call tools to access Slovakia’s public financial-statement registry.

In plain words
What is it for?
Use it when working on this Python server, including its local or HTTP launch modes, MCP Inspector sessions, and automated tests.
Why use it?
It gives developers the commands, structure, and conventions needed to run, inspect, develop, and test the server.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is freevisionsk/registeruz-mcp's own configuration. It tells Claude Code how to work on registeruz-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything registeruz-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to freevisionsk/registeruz-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/freevisionsk/registeruz-mcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/freevisionsk/registeruz-mcp

Made for: Claude Code.

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 registeruz-mcp CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/freevisionsk/registeruz-mcp/claude-md/github.svg)](https://agentmods.dev/instructions/freevisionsk/registeruz-mcp/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/freevisionsk/registeruz-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/freevisionsk/registeruz-mcp/claude-md/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 registeruz-mcp CLAUDE.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/freevisionsk/registeruz-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/freevisionsk/registeruz-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 817 This file is loaded in full into every session.
When invoked 817 The same file — it is already loaded in full.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00817 $0.00817
Opus 5 $0.00409 $0.00409
Sonnet 5 $0.00163 $0.00163
Haiku 4.5 $0.00082 $0.00082

Measured 9d ago against content hash 1e1d67243c83, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

registeruz-mcp CLAUDE.md 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

return await client.fetch(query)
CLAUDE.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

Model Context Protocol (MCP) server for Slovak registry of financial statements from Slovak Ministry Of Finance based on the API documentation.

Development Commands

# Install dependencies
uv sync

# Run the MCP server (STDIO transport - default)
uv run python registeruz_mcp.py

# Run with FastMCP CLI
uv run fastmcp run registeruz_mcp.py

# Run with HTTP transport
uv run fastmcp run registeruz_mcp.py --transport http --port 8000

# Inspect server (view tools, resources, prompts)
uv run fastmcp inspect registeruz_mcp.py

# Development mode with MCP Inspector
uv run fastmcp dev registeruz_mcp.py

# Run tests
uv run pytest
uv run pytest -v  # verbose
uv run pytest --cov=.  # with coverage

Architecture

  • Framework: FastMCP v2.14+ for building MCP servers
  • Python: 3.12 (managed via mise)
  • Package manager: uv

The main server implementation is in registeruz_mcp.py.

FastMCP Patterns

Tools

Tools are functions that LLMs can call. Define with @mcp.tool decorator:

@mcp.tool
def my_tool(param: str) -> str:
    """Tool description shown to LLM."""
    return result

# With tags and annotations
@mcp.tool(tags={"public"}, annotations={"readOnlyHint": True})
async def async_tool(param: str) -> dict:
    return {"result": param}

Resources

Resources expose data to LLMs via URIs:

@mcp.resource("resource://config")
def get_config() -> dict:
    return {"version": "1.0"}

# Resource templates with parameters
@mcp.resource("data://{item_id}/details")
def get_item(item_id: str) -> dict:
    return {"id": item_id}

Prompts

Reusable message templates:

@mcp.prompt
def analyze_prompt(data: str) -> str:
    return f"Please analyze: {data}"

Context and Dependencies

Access request context and inject dependencies:

Read the full file on GitHub · 130 lines

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. 9d ago First seen · 130 lines · 817 tokens per session scan A 1e1d67243c83

Subscribe to this mod's changes

registeruz-mcp CLAUDE.md is an instructions file published in the GitHub repository freevisionsk/registeruz-mcp (2 stars, last pushed 8mo ago), licensed MIT. It adds 817 tokens to every session, about $0.0041 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other instructions, from other repositories

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 3,735 tokens