{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"vscode-damms005-devdb","slug":"devdb","name":"DevDb","type":"extension","url":"https://marketplace.visualstudio.com/items?itemName=damms005.devdb","page_url":"https://unfragile.ai/devdb","categories":["code-editors"],"tags":["database","database management","database management system","database manager","devdb","DevDbConfig","django","javascript","json","keybindings","mariadb","mysql","php","postgres","postgresql","python django","rails","ruby on rails","snippet","sql","sqlite","typescript"],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"vscode-damms005-devdb__cap_0","uri":"capability://tool.use.integration.zero.config.database.auto.discovery.and.connection","name":"zero-config database auto-discovery and connection","description":"Automatically detects and establishes database connections for common development frameworks (Laravel, Rails, Django, Adonis, DDEV, Supabase) without manual configuration by parsing framework-specific configuration files and environment patterns. Uses framework-aware connection string extraction to identify SQLite, MySQL, MariaDB, PostgreSQL, and MongoDB databases in the local development environment, eliminating the need for manual connection setup.","intents":["I want to connect to my local database without manually entering connection details","I need DevDb to automatically find my Laravel/Rails/Django database when I open a project","I want to work with containerized databases (Laravel Sail, DDEV) without extra configuration"],"best_for":["full-stack developers using Laravel, Rails, Django, or Adonis frameworks","teams using containerized development environments (DDEV, Laravel Sail)","developers prototyping with Supabase local projects"],"limitations":["Auto-discovery only works for explicitly supported frameworks; custom database setups require manual JSON configuration","Requires framework configuration files to be present in standard locations; non-standard project structures may not auto-detect","No support for dynamic connection strings or runtime-generated database URLs"],"requires":["VS Code 1.83 or newer","One of: Laravel, Rails, Django, Adonis, DDEV, or local Supabase project","Database running locally or accessible via environment variables"],"input_types":["framework configuration files (config/database.php, database.yml, settings.py, .env files)"],"output_types":["active database connection","connection metadata (host, port, database name, credentials)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-damms005-devdb__cap_1","uri":"capability://data.processing.analysis.sidebar.database.record.browser.with.inline.cell.editing","name":"sidebar database record browser with inline cell editing","description":"Displays database tables and records in a VS Code sidebar panel with a spreadsheet-like interface that allows direct cell-level editing, NULL value assignment, and row deletion without leaving the editor. 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Implements command palette integration with VS Code's native search and filtering UI, allowing developers to jump to any table in milliseconds.","intents":["I want to quickly jump to a specific database table using keyboard shortcuts","I need to search for a table by name without scrolling through the sidebar","I want to open a table while keeping my hands on the keyboard during development"],"best_for":["keyboard-centric developers who prefer command palette workflows","developers working with databases containing many tables (50+)","teams using VS Code's command palette as primary navigation method"],"limitations":["Keybindings are fixed (Cmd/Ctrl+K Cmd/Ctrl+G); customization capability unknown","Search is table-name only; no column-level or record-level search from command palette","Fuzzy search performance unknown for databases with 1000+ tables"],"requires":["VS Code 1.83 or newer","Active database connection with at least one table","Knowledge of table names or partial name matching"],"input_types":["keyboard input (table name search query)"],"output_types":["filtered table list","selected table opened in sidebar"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-damms005-devdb__cap_3","uri":"capability://tool.use.integration.codelens.inline.table.reference.linking","name":"codelens inline table reference linking","description":"Displays inline code annotations (CodeLens) in the editor that detect database table references in code and provide one-click navigation to open those tables in the sidebar. Uses static code analysis to identify table name patterns in code (e.g., Model class names, SQL strings) and links them to actual database tables, enabling seamless context switching from code to data.","intents":["I want to jump from a Model class definition to view its corresponding database table","I need to see the actual data in a table referenced in my code without manually searching","I want CodeLens to show me which database table a query operates on"],"best_for":["ORM-driven developers (Laravel Eloquent, Rails ActiveRecord, Django ORM) who work with Model classes","developers debugging data flow by jumping between code and database state","teams using framework conventions where Model names map to table names"],"limitations":["CodeLens detection relies on naming conventions (Model name → table name); custom table mappings may not be detected","Only works for framework-specific patterns (Eloquent, ActiveRecord, Django); raw SQL queries may not be linked","Performance impact of CodeLens rendering on large files unknown; may slow editor responsiveness","No configuration to customize which code patterns trigger CodeLens links"],"requires":["VS Code 1.83 or newer","Active database connection","Code written in supported framework (Laravel, Rails, Django, etc.)","CodeLens feature enabled in VS Code settings"],"input_types":["source code containing Model class definitions or table references"],"output_types":["inline CodeLens annotations in editor","table opened in sidebar on click"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-damms005-devdb__cap_4","uri":"capability://memory.knowledge.mcp.server.database.schema.exposure.for.ai.tools","name":"mcp server database schema exposure for ai tools","description":"Exposes database schema information (tables, columns, types, relationships) via the Model Context Protocol (MCP) server, allowing external AI-powered IDEs (Cursor, Windsurf) and MCP clients to query database structure and context. Implements MCP server endpoints that provide schema metadata without requiring AI tools to establish direct database connections, acting as a secure intermediary.","intents":["I want Cursor or Windsurf to understand my database schema when generating code","I need AI tools to have access to my database structure for context-aware code generation","I want to enable AI-assisted database query writing with schema awareness"],"best_for":["developers using AI-powered IDEs (Cursor, Windsurf) for code generation","teams wanting AI tools to generate database queries with schema context","developers building AI agents that need database schema introspection"],"limitations":["MCP server capabilities and schema exposure scope unknown; unclear what metadata is exposed (table names only vs full schema with constraints)","Security model unknown; no documented access control or filtering of sensitive schema information","Requires external MCP client support; not all VS Code extensions or AI tools support MCP protocol","Performance impact of schema queries on database unknown; potential for slow AI tool responses if schema is large"],"requires":["VS Code 1.83 or newer","Active database connection in DevDb","MCP-compatible AI tool (Cursor, Windsurf, or custom MCP client)","Network connectivity between VS Code and AI tool (if remote)"],"input_types":["MCP protocol requests for schema information"],"output_types":["database schema metadata (tables, columns, types, relationships)","structured schema representation for AI model consumption"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-damms005-devdb__cap_5","uri":"capability://data.processing.analysis.data.export.to.json.and.sql.insert.statements","name":"data export to json and sql insert statements","description":"Exports selected database records to JSON format or SQL INSERT statements, with options to copy to clipboard or save to file. Implements format-specific serialization that preserves data types (dates, numbers, NULL values) and generates syntactically correct SQL for re-importing data into other databases or environments.","intents":["I want to export test data as JSON for use in API tests or fixtures","I need to generate SQL INSERT statements to seed a database in another environment","I want to backup specific table records as a file for version control or sharing"],"best_for":["developers creating test fixtures and seed data","teams migrating data between development, staging, and production environments","QA engineers sharing test data with team members"],"limitations":["Export formats limited to JSON and SQL INSERT; no CSV, XML, or other formats","SQL INSERT generation may not handle complex data types (JSON columns, arrays, custom types) correctly","No filtering or column selection; exports entire table or selected rows only","Large dataset exports (>100MB) may cause memory issues or slow performance","No compression or streaming for large exports"],"requires":["VS Code 1.83 or newer","Active database connection","Read permissions on the target table","Disk space for file exports (if saving to file)"],"input_types":["selected table rows","export format selection (JSON or SQL)","destination (clipboard or file path)"],"output_types":["JSON file or string","SQL INSERT statement file or string"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-damms005-devdb__cap_6","uri":"capability://code.generation.editing.framework.specific.code.generation.eloquent.model.factories","name":"framework-specific code generation (eloquent model factories)","description":"Generates Laravel Eloquent Model factory code with one click based on database table schema, creating boilerplate factory classes that define fake data generation patterns for testing. Analyzes table columns, types, and constraints to generate appropriate factory methods (faker calls, relationships) without manual coding.","intents":["I want to quickly generate a Laravel factory for a database table","I need to create test data factories without manually writing boilerplate code","I want to generate factories that respect table column types and constraints"],"best_for":["Laravel developers writing tests with factories","teams using Laravel's factory pattern for test data generation","developers iterating on database schema who need to regenerate factories"],"limitations":["Only supports Laravel Eloquent factories; no support for Rails factories, Django factories, or other frameworks","Generated code may require manual refinement for complex relationships or custom validation logic","Faker method selection is automatic; no customization of which faker methods are used per column","Relationship detection relies on foreign key naming conventions; custom relationship mappings not supported"],"requires":["VS Code 1.83 or newer","Active database connection","Laravel project with Eloquent ORM","Database table with defined schema"],"input_types":["database table selection"],"output_types":["Laravel factory PHP code","code copied to clipboard or inserted into editor"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-damms005-devdb__cap_7","uri":"capability://tool.use.integration.ssh.tunnel.support.for.remote.database.connections","name":"ssh tunnel support for remote database connections","description":"Establishes secure SSH tunnels to remote database servers, allowing connections to MySQL, MariaDB, and PostgreSQL databases running on remote hosts without exposing database ports directly. Implements SSH key-based or password authentication with automatic tunnel lifecycle management (creation on connection, cleanup on disconnect).","intents":["I want to connect to a production or staging database securely via SSH tunnel","I need to access a remote database without exposing its port to the internet","I want to use my SSH key for authentication instead of database passwords"],"best_for":["developers accessing remote databases in staging/production environments","teams with security policies requiring SSH tunneling for database access","developers working with databases behind firewalls or private networks"],"limitations":["SSH tunnel support is a Pro tier feature; not available in free tier","Only supports MySQL, MariaDB, and PostgreSQL over SSH; SQLite and MongoDB tunneling not available","SSH key management strategy unknown; unclear if keys are stored securely or require manual entry each session","Tunnel performance and latency impact unknown; may affect query response times","No documented support for SSH jump hosts or multi-hop connections"],"requires":["VS Code 1.83 or newer","DevDb Pro subscription","SSH access to remote server (key or password authentication)","Remote database server running MySQL, MariaDB, or PostgreSQL"],"input_types":["SSH host, port, username","SSH authentication method (key or password)","remote database connection details"],"output_types":["active SSH tunnel","proxied database connection through tunnel"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-damms005-devdb__cap_8","uri":"capability://data.processing.analysis.mongodb.support.with.automatic.schema.inference","name":"mongodb support with automatic schema inference","description":"Provides MongoDB database browsing and record editing with automatic schema inference that detects collection structure from document samples, eliminating the need for manual schema definition. Infers field types, nested structures, and common patterns from documents to generate a browsable schema representation.","intents":["I want to browse MongoDB collections in VS Code without defining a schema","I need to view and edit MongoDB documents with automatic type detection","I want to understand MongoDB collection structure without manual schema documentation"],"best_for":["MongoDB developers working with schemaless databases","teams using MongoDB in development environments","developers exploring MongoDB collections without prior schema knowledge"],"limitations":["MongoDB support is a Pro tier feature; not available in free tier","Schema inference quality depends on document sample size and diversity; may miss rare fields or types","No support for MongoDB aggregation pipelines or complex queries; basic document browsing only","Nested document editing may be limited; unclear if deep object modification is supported","Performance with large collections (>100k documents) unknown"],"requires":["VS Code 1.83 or newer","DevDb Pro subscription","MongoDB database connection (local or remote)","Read permissions on target collections"],"input_types":["MongoDB collection selection"],"output_types":["inferred schema representation","browsable document list","editable document fields"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"vscode-damms005-devdb__cap_9","uri":"capability://planning.reasoning.sql.query.explainer.integration","name":"sql query explainer integration","description":"Provides SQL query explanation capability that analyzes database queries and explains their execution plan, performance characteristics, and potential optimization opportunities. 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