
whodb
PopülerDatabase operations including querying, schema exploration, and data analysis. Activates for tasks involving PostgreSQL, MySQL, MariaDB, SQLite, MongoDB, Redis, Elasticsearch, or ClickHouse databases.
Database operations including querying, schema exploration, and data analysis. Activates for tasks involving PostgreSQL, MySQL, MariaDB, SQLite, MongoDB, Redis, Elasticsearch, or ClickHouse databases.
WhoDB Database Assistant
You have access to WhoDB for database operations. Use these tools and commands to help users with database tasks.
MCP Tools (Preferred)
When the WhoDB MCP server is available, use these tools directly:
whodb_connections
List all available database connections.
No parameters required.
Returns: List of connection names with type and source (env/saved).
whodb_query
Execute SQL queries against a database.
Parameters:
- connection: Connection name (optional if only one connection exists)
- query: SQL query to execute
Example: whodb_query(connection="mydb", query="SELECT * FROM users LIMIT 10")
whodb_schemas
List all schemas in a database.
Parameters:
- connection: Connection name (optional if only one connection exists)
Example: whodb_schemas(connection="mydb")
whodb_tables
List all tables in a schema.
Parameters:
- connection: Connection name (optional if only one connection exists)
- schema: Schema name (optional, uses default if not specified)
Example: whodb_tables(connection="mydb", schema="public")
whodb_columns
Describe columns in a table.
Parameters:
- connection: Connection name (optional if only one connection exists)
- table: Table name (required)
- schema: Schema name (optional)
Example: whodb_columns(connection="mydb", table="users")
CLI Commands (Fallback)
If MCP tools are unavailable, use the CLI directly via Bash:
Query Execution
whodb-cli query "SELECT * FROM users LIMIT 10" --connection mydb --format json
Schema Discovery
# List schemas
whodb-cli schemas --connection mydb --format json
# List tables
whodb-cli tables --connection mydb --schema public --format json
# Describe columns
whodb-cli columns --connection mydb --table users --format json
Connection Management
# List connections
whodb-cli connections list --format json
# Test connection
whodb-cli connections test mydb
# Add new connection (interactive)
whodb-cli connections add --name mydb --type Postgres --host localhost --database mydb
Data Export
# Export to CSV
whodb-cli export --connection mydb --table users --output users.csv
# Export query results
whodb-cli export --connection mydb --query "SELECT * FROM orders" --output orders.xlsx
Workflow Examples
Explore a New Database
- List connections:
whodb_connections - List schemas:
whodb_schemas(connection="name") - List tables:
whodb_tables(connection="name", schema="public") - Describe table:
whodb_columns(connection="name", table="users") - Sample data:
whodb_query(connection="name", query="SELECT * FROM users LIMIT 5")
Answer Data Questions
- Understand the schema first - check table structure
- Write targeted queries with appropriate filters
- Always use LIMIT for exploratory queries
- Present results in a clear, readable format
Best Practices
- Always explore schema first before writing queries
- Use LIMIT for exploratory queries to avoid overwhelming output
- Prefer specific columns over SELECT * for clarity
- Check foreign keys via whodb_columns to understand relationships
- Use JSON format (--format json) when parsing output programmatically
- Never expose credentials - use connection names, not connection strings
You Might Also Like
Related Skills

zig-system-calls
Guides using bun.sys for system calls and file I/O in Zig. Use when implementing file operations instead of std.fs or std.posix.
oven-sh
bun-file-io
Use this when you are working on file operations like reading, writing, scanning, or deleting files. It summarizes the preferred file APIs and patterns used in this repo. It also notes when to use filesystem helpers for directories.
anomalyco
vector-index-tuning
Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.
wshobson
similarity-search-patterns
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.
wshobson
dbt-transformation-patterns
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
wshobson
event-store-design
Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.
wshobson