sap-datasphere-mcp: Instructions file for Kiro

.kiro/steering/tech.md

sap-datasphere-mcp tech.md is an instructions file for Kiro from MarioDeFelipe/sap-datasphere-mcp. It costs 637 tokens per session, scanned A, original, MIT.

Project instructions for a Python codebase that provides AI-connected servers through the Model Context Protocol, a standard way for AI tools to use external tools and data. It documents the build tools, code checks, security scanning, and tests.

In plain words
What is it for?
Use it to set up the Python environment, manage packages, format and lint code, check types, scan for security issues, and run tests.
Why use it?
It gives contributors consistent commands and quality rules for developing the project, reducing setup mistakes and inconsistent code.

Instructions file for Kiro

Written for Kiro: installed under .kiro/.

This is MarioDeFelipe/sap-datasphere-mcp's own configuration. It tells Kiro how to work on sap-datasphere-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 sap-datasphere-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to MarioDeFelipe/sap-datasphere-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/MarioDeFelipe/sap-datasphere-mcp/main/.kiro/steering/tech.md
Clone the repo
git clone --depth 1 https://github.com/MarioDeFelipe/sap-datasphere-mcp

Made for: Kiro.

Wrote this? Show the measurements

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Per session 637 This file is loaded in full into every session.
When invoked 637 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00637 $0.00637
Opus 5.5 $0.00255 $0.00255
Sonnet 5.5 $0.00127 $0.00127
Haiku 4.5 $0.00064 $0.00064

Measured 1mo ago against content hash 00985cef2818, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sap-datasphere-mcp tech.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 1mo 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.

.kiro/steering/tech.md · 95 lines

How it starts

The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Technology Stack & Build System

Core Technologies

  • Python 3.10+ - Primary programming language (3.13 currently used)
  • Model Context Protocol (MCP) - Core framework for AI-server communication
  • Pydantic - Data validation and serialization
  • FastMCP - Python MCP framework implementation
  • Loguru - Structured logging
  • uv - Python package manager and virtual environment tool

Build System

  • Package Manager: uv for dependency management and virtual environments
  • Build Backend: Hatchling (specified in pyproject.toml)
  • Package Distribution: PyPI via uvx for easy installation
  • Monorepo Structure: Multiple MCP servers in src/ directory

Code Quality & Linting

  • Ruff - Fast Python linter and formatter
    • Line length: 99 characters
    • Google docstring convention
    • Single quotes for strings
  • Pyright - Type checking
  • Pre-commit hooks - Automated quality checks
  • Bandit - Security scanning
  • pytest - Testing framework with coverage reporting

Common Commands

Development Setup

# Install dependencies and create virtual environment
uv venv && uv sync --all-groups

# Install pre-commit hooks
pre-commit install

Testing & Quality

# Run tests with coverage
uv run --frozen pytest --cov --cov-branch --cov-report=term-missing

# Run linting and formatting
ruff check --fix
ruff format

# Type checking
uv run --frozen --all-extras --dev pyright --stats

# Run all pre-commit checks
pre-commit run --all-files

Local Development

# Run MCP server locally for testing
uv --directory <server-path> run server.py

# Test with MCP Inspector
npx @modelcontextprotocol/inspector uv --directory <server-path> run server.py

Documentation

# Start Docusaurus development server
cd docusaurus && npm start

# Build documentation
cd docusaurus && npm run build

AWS Integration

  • Boto3 - AWS SDK for Python
  • AWS CLI - For credential configuration
  • Environment Variables - AWS_PROFILE, AWS_REGION for authentication
  • IAM Roles/Policies - Service-specific permissions required

Read the full file on GitHub · 95 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. 1mo ago First seen · 95 lines · 637 tokens per session scan A 00985cef2818

Subscribe to this mod's changes

sap-datasphere-mcp tech.md is an instructions file published in the GitHub repository MarioDeFelipe/sap-datasphere-mcp (49 stars, last pushed 3d ago), licensed MIT. It adds 637 tokens to every session, about $0.0025 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 2026-09-22.

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