SafeDataBaseMCP
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- AlicenseNot gradedqualityDmaintenanceEnables AI agents to safely work with SQLite databases by enforcing read/write separation, dry-run writes with confirmation, automatic backups, and an audit trail.MIT
- AlicenseBqualityBmaintenanceEnables LLM agents to query databases with read-only access, while requiring human approval for writes through a token-based confirmation system.6GPL 3.0
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- AlicenseNot gradedqualityCmaintenanceEnables AI agents to explore and query a SQL database safely, answering questions with real data while blocking writes, hiding protected columns, restricting results to one tenant's rows, and logging every call to an audit trail.MIT
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TDQS
Scored across 6 tools
Each tool has a clearly distinct role: schema discovery, read-only querying, and the two-phase write flow are separated without overlap. The read/write boundary between run_query and propose_change is especially well-defined.
All tools follow a consistent verb_noun snake_case pattern: list_tables, describe_table, run_query, propose_change, confirm_change, list_pending_changes. The naming makes the action and target immediately predictable.
Six tools is a well-scoped size for a safe database interface. Each tool earns its place, covering schema browsing, read-only access, write previewing, confirmation, and pending-change inspection without unnecessary bloat.
The core workflow is complete: browse schema, query data, propose changes, review pending changes, and commit. The only notable gap is the lack of an explicit way to cancel a pending change, though expiration partially covers this.