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Sipap Data

БесплатноНе проверен

Provides read-only access to sports data, odds intelligence, and historical stats via 10 MCP tools, with fast response times through Redis caching.

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Описание

Provides read-only access to sports data, odds intelligence, and historical stats via 10 MCP tools, with fast response times through Redis caching.

README

Consolidated data access MCP (Model Context Protocol) server providing read-only access to sports data stored in Aurora PostgreSQL.

Overview

sipap-data-mcp consolidates 3 separate MCPs into a single unified server:

  • Sports data (matches, teams, leagues)
  • Odds intelligence (betting odds from 37+ bookmakers)
  • Historical data (season stats, head-to-head)

Features

  • 10 Tools for AI agents:

    • 4 match tools (schedule, details, live, search)
    • 3 team tools (stats, standings, head-to-head)
    • 2 odds tools (current odds, movement tracking)
    • 1 historical tool (season aggregations)
  • Fast Response Times: <100ms via Redis caching

  • JSON-RPC 2.0 Protocol: Standard MCP protocol

  • Lambda ARM64 Deployment: Cost-effective, auto-scaling

  • Read-Only Access: No writes (batch scraper handles writes)

Installation

# Clone repository
cd /Users/charlesotuya/AI-Odi/sentinel/sipap/repos/sipap-data-mcp

# Create virtual environment
python3.12 -m venv .venv
source .venv/bin/activate

# Install dependencies
pip install -e '.[dev]'

Development

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=src/sipap_data_mcp --cov-report=term-missing

# Run specific test file
pytest tests/unit/database/test_aurora.py -v

Type Checking

mypy src/sipap_data_mcp --strict

Linting

ruff check src/ tests/
ruff check --fix src/ tests/  # Auto-fix issues

Quality Gates

Before deploying, all quality gates must pass:

  1. Tests: 80%+ coverage, all tests passing
  2. Type Checking: Zero mypy errors (strict mode)
  3. Linting: Zero ruff errors
  4. Imports: All public APIs importable
# Run all quality gates
pytest --cov=src/sipap_data_mcp --cov-fail-under=80 && \
mypy src/sipap_data_mcp --strict && \
ruff check src/ tests/

Project Structure

sipap-data-mcp/
├── src/sipap_data_mcp/
│   ├── tools/          # MCP tool implementations
│   ├── database/       # Aurora PostgreSQL client
│   ├── models/         # TypedDict data models
│   └── exceptions/     # Exception hierarchy
├── tests/
│   ├── unit/           # Unit tests
│   ├── integration/    # Integration tests
│   └── fixtures/       # Test data fixtures
└── examples/           # Working examples

License

Proprietary - SIPAP Project

Status

🚧 Under Development - Phase 2.B: Data Layer (Week 5)

Current: Day 1 - Repository setup and database client (TDD)

from github.com/odirasamuel/sipap-data-mcp

Установка Sipap Data

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/odirasamuel/sipap-data-mcp

FAQ

Sipap Data MCP бесплатный?

Да, Sipap Data MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Sipap Data?

Нет, Sipap Data работает без API-ключей и переменных окружения.

Sipap Data — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Sipap Data в Claude Desktop, Claude Code или Cursor?

Открой Sipap Data на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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