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odirasamuel

sipap-data-mcp

by odirasamuel

Valo Data MCP Server

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)

Related MCP server: Sports Hub MCP Server

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 - Valo Project

Status

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

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

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