What is mcp-csu CLAUDE.md?

A set of instructions for agents using mcp-csu, a server that retrieves data from the Czech Statistical Office’s DataStat API. The API provides official Czech statistics in datasets and predefined tables.

Searching Czech statistical datasets, checking indicators and dimensions, selecting years or regions, and downloading table data as CSV.

It explains which tools to use for finding datasets, understanding their structure, and retrieving data, along with the server’s operating rules.

How reloadcz/mcp-csu configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to reloadcz/mcp-csu. 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/reloadcz/mcp-csu/master/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/reloadcz/mcp-csu

Made for: Claude Code.

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README.md

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Per session 1,484 This file is loaded in full into every session.

When invoked 1,484 The same file — it is already loaded in full.

Security scan A 0 findings. 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.

Model	Per session	Once invoked
Fable 5.1	$0.01484	$0.01484
Opus 5.5	$0.00594	$0.00594
Sonnet 5.5	$0.00297	$0.00297
Haiku 4.5	$0.00148	$0.00148

Measured 2mo ago against content hash 908cd8ae886d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mcp-csu CLAUDE.md 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.

CLAUDE.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

mcp-csu

MCP server for the Czech Statistical Office (ČSÚ) DataStat API. Single-file Python server (mcp_csu/server.py), runs via uvx mcp-csu.

For AI agents using this MCP server

Quick start

search_datasets("obyvatelstvo")  →  find dataset code
get_dataset("OBY01")             →  see dimensions + indicators
get_dataset_selections("OBY01")  →  find predefined table code
get_selection_data("OBY01T01")   →  get CSV data

Tool overview

Find data:

search_datasets(query) — full-text search across 700+ datasets
search_selections(query) — full-text search across 1500+ predefined tables
list_datasets(offset, limit) — browse all datasets
list_selections(offset, limit) — browse all predefined tables

Understand structure:

get_dataset(code) — dimensions, indicators, keywords, update frequency
get_dataset_selections(code) — predefined tables for a dataset
get_dimension_items(code, level) — possible values (years, regions, categories)
get_indicator(code) — indicator definition

Get data:

get_selection_data(code, max_rows) — primary tool, fetches CSV from a predefined table
get_value(dataset, indicator, dim_codes, item_codes) — single precise value
custom_query(...) — advanced, arbitrary dataset query
get_dataset_metadata(code, version) — record count, time range, last update

Critical rules

Always search in Czech. The database is Czech-language. Use the vocabulary below.
Prefer get_selection_data over custom_query. Selections are reliable and pre-configured. custom_query is fragile with hierarchical dimensions.
Start with search, not list. search_datasets and search_selections are faster and more targeted than browsing.
Inspect before querying. Always call get_dataset() before get_value() or custom_query() to learn dimension codes and indicator codes.
Respect max_rows. Default is 100. Increase only when the user needs more. Set to 0 only if explicitly asked for all data.

Read the full file on GitHub · 139 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.

2mo ago First seen · 139 lines · 1,484 tokens per session scan A 908cd8ae886d

Subscribe to this mod's changes

mcp-csu CLAUDE.md is an instructions file published in the GitHub repository reloadcz/mcp-csu (2 stars, last pushed 8mo ago), licensed MIT. It adds 1,484 tokens to every session, about $0.0059 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.

Research

mcp-csu CLAUDE.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
mcp-csu CLAUDE.mdreloadcz/mcp-csu	Instructions file	2	8mo ago	MIT	A	1,484	Claude Code
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mcp-csu: Instructions file for Claude Code