@iadev/mcp-server
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- AlicenseNot gradedqualityAmaintenanceGives AI coding tools reviewed access to PostgreSQL, MySQL, SQL Server, and SQLite databases, letting read-only queries run instantly while every data or schema change pauses for human approval in a review dialog. It also exposes schema introspection for agents and a way to open the connection manager.MIT
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- AlicenseAqualityDmaintenanceEnables AI assistants to connect to and interact with PostgreSQL, MySQL, SQLite, and MongoDB databases through natural language, supporting schema exploration, query execution, data export, and more.13MIT
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- AlicenseAqualityBmaintenanceAllows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured.39,010 PyPI1,403MIT
TDQS
Scored across 15 tools
Most tools are clearly distinct (e.g., list_tables vs get_columns vs query_data). However, create_project, list_my_projects, provision_project, publish_project, and deploy_status could be confused without careful reading of descriptions, especially around project lifecycle stages.
Tool names consistently use snake_case and follow a verb_noun pattern (e.g., login, get_service_token, list_tables, create_user). Minor inconsistency: 'login' lacks a noun object, but overall predictable.
15 tools is within the reasonable range (3-15) for a server covering authentication, project management, data querying, and deployment. Slightly on the higher side but each tool appears to serve a distinct purpose.
While the surface covers authentication, project info, table/column listing, data query, SQL execution, user CRUD, and project creation/deployment, there are gaps: no delete operations for users or projects, no update for projects, and no explicit get_project (only list_my_projects). These missing operations may cause dead ends for agents needing full lifecycle management.