Borrowing it
Nothing to install: this file belongs to arthurfantaci/qlik-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/arthurfantaci/qlik-mcp-server/main/CLAUDE.mdgit clone --depth 1 https://github.com/arthurfantaci/qlik-mcp-serverWrote 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/instructions/arthurfantaci/qlik-mcp-server/claude-md)<a href="https://agentmods.dev/instructions/arthurfantaci/qlik-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/arthurfantaci/qlik-mcp-server/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.
<a href="https://agentmods.dev/instructions/arthurfantaci/qlik-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/arthurfantaci/qlik-mcp-server/claude-md.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 | $0.01042 | $0.01042 |
| Opus 5.5 | $0.00417 | $0.00417 |
| Sonnet 5.5 | $0.00208 | $0.00208 |
| Haiku 4.5 | $0.00104 | $0.00104 |
Grade A, and why
qlik-mcp-server 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.
How it starts
The opening of the file, as written. The whole thing — 120 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 providing comprehensive access to Qlik Sense applications via WebSocket API. FastMCP-based implementation with 9 tools for extracting app metadata, expressions, scripts, and visualizations.
Commands
# Setup (UV recommended, requires Python 3.10+)
uv sync # Install dependencies and create venv
cp .env.example .env # Configure Qlik server details
# Run server
uv run python -m src.server # Start MCP server
# Test with pytest
uv run pytest # Run all tests
uv run pytest -v # Verbose output
uv run pytest -m unit # Unit tests only (no Qlik needed)
uv run pytest -m integration # Integration tests (requires Qlik)
uv run pytest --cov=src # With coverage report
# Debug WebSocket client
uv run python -m src.qlik_client
Architecture
Core Components
src/server.py- FastMCP server registration and tool handlerssrc/tools.py- 9 tool implementations with Pydantic validationsrc/qlik_client.py- WebSocket client for Qlik Engine API
Key Patterns
- SSL certificate authentication via
certs/directory - WebSocket connection to Qlik Engine API
- Session objects for metadata (measures, variables, fields, dimensions)
- Handle-based access for sheets and visualizations
- Pydantic models with FastMCP auto-schema generation
- Enhanced script analysis with BINARY LOAD extraction and section parsing
Connection Flow
- Load SSL certificates → WebSocket connect
- App operations:
OpenDoc→ create session objects →GetLayout - Global operations: connect to
/app/→GetDocList - Sheets:
GetAllInfos→GetObject→GetLayout - Always disconnect to prevent resource leaks
Tool Patterns
Parameter Validation: All tools use Pydantic models with field constraints, custom validators, and auto-generated schemas for FastMCP.
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 · 120 lines · 1,042 tokens per session scan A 51a13ac972b1
qlik-mcp-server CLAUDE.md is an instructions file published in the GitHub repository arthurfantaci/qlik-mcp-server (18 stars, last pushed 1y ago), licensed MIT. It adds 1,042 tokens to every session, about $0.0042 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 2026-08-30.
qlik-mcp-server CLAUDE.md compared with instructions from other repositories
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|---|---|---|---|---|---|---|---|
| qlik-mcp-server CLAUDE.mdarthurfantaci/qlik-mcp-server | Instructions file | 18 | 1y ago | MIT | A | 1,042 | Claude Code |
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