PgSafe MCP
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to safely query and explore SQLite databases through read-only, guard-protected tools that block writes, sensitive table access, and runaway queries.1MIT
- AlicenseBqualityBmaintenanceEnables AI assistants to safely run read-only SQL against SQLite databases through whitelist-validated queries, capped result sets, and confined file paths. It also exposes schema inspection so models can discover tables and columns before querying.2MIT
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- AlicenseAqualityDmaintenanceEnables safe, read-only SQL access to SQLite databases for AI agents, allowing schema exploration and SELECT queries with defense-in-depth protections.3MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI clients to safely query PostgreSQL or SQLite databases read-only through AST-validated guardrails, schema introspection, and statistical table profiling. It returns results as Markdown tables, JSON audit reports, and database health checks.MIT
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TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: list_tables vs describe_table target different levels of schema introspection, while safe_query executes read-only queries and analyze_query performs static analysis without execution. There is no meaningful overlap that would cause misselection.
All names use snake_case, which is consistent. However, safe_query deviates slightly from the dominant verb_noun pattern seen in list_tables, describe_table, and analyze_query by using an adjective_noun construction.
Four tools is well-scoped for a read-only PostgreSQL safety server. Each tool covers a necessary capability: table discovery, schema inspection, safe execution, and query risk analysis.
The core read-only workflow is covered: discover tables, inspect their structure, query safely, and analyze query risk. Minor gaps exist, such as explicit schema/view listing or index introspection, but agents can work around these using safe_query against system catalogs.