wtinydb-mcp: Model Context Protocol Server for WTinyDB

wtinydb-mcp is an official Model Context Protocol (MCP) server built on top of FastMCP that equips AI agents with tools to architect, validate, scaffold, and generate code for WTinyDB (TinyDB + Pydantic document database engine).

Key Technologies & Libraries

• MCP Protocol: Open standard connecting AI models to external tools and context.
• FastMCP: Python framework for fast MCP server implementation.
• WTinyDB: Pydantic-powered document database engine on top of TinyDB.
• Pydantic v2: Data schema validation and Python AST inspection.
• Pytest: Modern Python testing framework.
• Pytest-Cov: Code coverage measurement for pytest.
• Docker: Containerized test execution environment.

MCP Tools Exposed

1. validate_model_schema(model_code: str): Validates Pydantic document models for WTinyDB compatibility.
2. search_wtinydb_pattern(query: str): Searches the official wisrovi SUITE catalog for WTinyDB architectural patterns.
3. deploy_wtinydb_scaffolding(target_dir: str, project_name: str, scaffold_type: str): Deploys project scaffolding with repository, config, models, and tests.
4. get_wtinydb_architect_blueprints(): Returns code reference and blueprints for WTinyDB features.
5. get_wtinydb_architect_manual(): Returns the comprehensive WTinyDB architecting manual.
6. generate_wtinydb_crud(model_code: str): Automatically generates repository CRUD class for Pydantic models.

Running Unit Tests & Coverage

Local Pytest Execution

# Install editable package
pip install -e .

# Run pytest test suite
pytest tests/

# Calculate code coverage
./scripts/run_coverage.sh

Docker Containerized Test Execution

./scripts/run_tests_docker.sh

Part of the wisrovi SUITE ecosystem.

👤 Autor & Afiliación Oficial

• William Steve Rodriguez Villamizar (Wisrovi)
• Cargo: Principal AI Engineer & Applied AI Solutions Architect | Scientific Researcher
• 📧 Email: wisrovi.rodriguez@gmail.com
• 🌐 Portal Oficial: wisrovi.dev
• 💼 LinkedIn: wisrovi-rodriguez
• 🆔 ORCID: 0009-0005-0710-1861
• 📦 PyPI: pypi.org/user/wisrovi/
• 🐙 GitHub: @wisrovi