by Juan-Andres-Motta
Appointment Scheduler MCP: natural language appointment booking and appointment scheduler for secure online appointment
Schedule and manage appointments through a PostgreSQL database using natural language. Create, update, and track appointments with customer details and dates.
Appointment Scheduler MCP Server is a community-built MCP server published by Juan-Andres-Motta that provides AI assistants with tools and capabilities via the Model Context Protocol. Appointment Scheduler MCP: natural language appointment booking and appointment scheduler for secure online appointment It is categorized under databases, developer tools.
You can install Appointment Scheduler MCP Server in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Appointment Scheduler MCP Server is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Enable Claude to query your database directly using natural language
Example
Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly
Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster
Generate complex reports and analytics without leaving conversation
Example
Analyze sales trends, cohort retention, user behavior patterns conversationally
Democratize data access—non-technical team members can query databases
Understand database structure, relationships, and data models
Example
'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Share your MCP server with the developer community
Appointment Scheduler MCP Server has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Appointment Scheduler MCP Server surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Appointment Scheduler MCP Server is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Appointment Scheduler MCP Server is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Useful MCP listing: Appointment Scheduler MCP Server is the kind of server we cite when onboarding engineers to host + tool permissions.
I recommend Appointment Scheduler MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Appointment Scheduler MCP Server against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Appointment Scheduler MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Appointment Scheduler MCP Server for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Appointment Scheduler MCP Server benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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A Model Context Protocol (MCP) server that connects to a PostgreSQL database to manage appointment scheduling. Built with FastMCP, SQLAlchemy, and Alembic for database migrations.
# Clone the repository
git clone https://github.com/Juan-Andres-Motta/backend-mcp.git
cd backend-mcp
# Install dependencies
uv sync
# Clone the repository
git clone https://github.com/Juan-Andres-Motta/backend-mcp.git
cd backend-mcp
# Create virtual environment
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
Create a .env file in the project root:
# Database Configuration
DB_HOST=localhost
DB_PORT=5432
DB_NAME=your_database_name
DB_USER=your_username
DB_PASSWORD=your_password
# Database URL (constructed from above)
DATABASE_URL=postgresql://${DB_USER}:${DB_PASSWORD}@${DB_HOST}:${DB_PORT}/${DB_NAME}
# MCP Server Configuration
MCP_TRANSPORT=stdio # Options: stdio, http
MCP_HOST=0.0.0.0 # Only used for HTTP transport
MCP_PORT=8000 # Only used for HTTP transport
Using Docker Compose (Recommended):
docker-compose up -d postgres
Manual PostgreSQL Setup:
.env with your database credentialsRun database migrations to create the appointments table:
# Using uv
uv run alembic upgrade head
# Using pip
alembic upgrade head
# Using uv
uv run python main.py
# Using pip
python main.py
Set MCP_TRANSPORT=http in your .env file:
# Using uv
uv run python main.py
# Using pip
python main.py
The server will be available at http://localhost:8000
# Build and run with Docker Compose
docker-compose up --build
# Run only the MCP server (requires external PostgreSQL)
docker build -t appointment-mcp .
docker run --env-file .env appointment-mcp
schedule_appointmentSchedules a new appointment in the database.
Parameters:
name (string): Full name of the person scheduling the appointmentidentification_number (string): Identification number (ID card, passport, etc.)phone (string): Phone numberdate (string): Appointment date and time in ISO format (YYYY-MM-DDTHH:MM:SS)Example:
{
"name": "John Doe",
"identification_number": "123456789",
"phone": "+1234567890",
"date": "2024-12-25T14:30:00"
}
Response:
{
"result": "Success: Appointment scheduled for John Doe on 2024-12-25 14:30:00 (ID: 1)"
}
backend-mcp/
├── main.py # Main MCP server application
├── pyproject.toml # Project dependencies and configuration
├── uv.lock # uv lock file
├── alembic/ # Database migration files
│ ├── env.py
│ ├── script.py.mako
│ └── versions/
├── .env # Environment variables (create this)
├── .env.example # Environment variables template
├── Dockerfile # Docker container configuration
├── docker-compose.yml # Docker Compose configuration
├── .dockerignore # Docker ignore file
├── .gitignore # Git ignore file
└── README.md # This file
# Install development dependencies
uv sync --dev
# Run tests
uv run pytest
The appointments table structure:
CREATE TABLE appointments (
id SERIAL PRIMARY KEY,
name VARCHAR(255) NOT NULL,
identification_number VARCHAR(50) NOT NULL,
phone VARCHAR(20) NOT NULL,
date TIMESTAMP NOT NULL
);
main.pyThis project is licensed under the MIT License - see the LICENSE file for details.
Database Connection Error
.env file configurationMigration Errors
alembic current to check migration statusalembic upgrade head to apply pending migrationsMCP Transport Issues
Run data quality queries to catch anomalies and inconsistencies
Example
Find duplicate records, missing values, orphaned foreign keys automatically
Maintain data integrity with less manual SQL work
Prerequisites
Time Estimate
15-30 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
Compatibility
✓ Use when
Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.
✗ Avoid when
Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.