Read-only SQLite MCP
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- AlicenseNot gradedqualityCmaintenanceEnables AI agents to read-only query a SQLite database, inspect schema and table summaries, and execute SELECT queries with pagination through MCP.MIT
- AlicenseBqualityCmaintenanceEnables 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
- AlicenseNot gradedqualityBmaintenanceEnables Claude and other MCP clients to map a SQLite database's schema and run read-only SQL queries against it, with writes blocked at the SQLite level through multiple enforcement layers. Results come back as context-friendly Markdown tables with row caps and a query timeout.2MIT
- AlicenseAqualityDmaintenanceEnables safe, read-only SQL access to SQLite databases for AI agents, allowing schema exploration and SELECT queries with defense-in-depth protections.3MIT
- AlicenseAqualityBmaintenanceEnables querying SQLite databases in plain language through MCP, letting clients like Claude Code inspect schemas and run read-only SQL.31MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to run read-only SQL against SQLite or MySQL databases through MCP tools for listing tables, describing schemas, and querying data. Wraps every call in guardrails such as statement allow-listing, row caps, query timeouts, PII masking, and audit logging.1MIT
TDQS
Scored across 7 tools
Each tool targets a distinct inspection level (databases, tables, columns, row counts, sample data) and descriptions make the boundaries clear. The only real overlap is read_query vs export_csv, which both execute a read-only query and differ only in output format, and sample_rows is a thin convenience wrapper around a SELECT.
Six of seven tools follow a clear verb_noun pattern (list_databases, list_tables, describe_table, read_query, sample_rows, export_csv). table_stats breaks the pattern with a noun_noun form, but it is still readable and unambiguous.
Seven tools is well-scoped for a read-only database inspection server. Every tool covers a distinct exploration step with no filler, and nothing feels missing from the count perspective.
The surface covers the full read-only lifecycle: discover databases, enumerate tables, inspect schema, gauge size, and pull sample or exported data. Minor gaps remain, such as finding which tables contain a given column name or dumping a full schema, but agents can work around these with read_query.