mcp-sql-lite
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Alternatives to mcp-sql-lite
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- FlicenseAqualityCmaintenanceEnables AI agents to safely inspect and query a SQLite database through read-only MCP tools for listing tables, describing schemas, and running paginated SELECT queries.3-
- FlicenseNot gradedqualityCmaintenanceEnables read-only exploration and analysis of an included SQLite shop database through tools for listing tables, describing schemas, and running SQL queries.-
- FlicenseAqualityCmaintenanceEnables an AI agent to inspect and analyze a local SQLite shop database through read-only, single-query SELECT operations, with schema inspection and paginated querying.2-
- AlicenseAqualityBmaintenanceEnables AI agents to explore and query SQLite databases through read-only, sandboxed tools for listing tables, describing schemas, fetching DDL, and running a single capped SELECT statement. Also supports plain-English questions that are converted to SQL and routed through the same sandbox.4MIT
- FlicenseNot gradedqualityCmaintenanceProvides AI agents read-only analytical access to a SQLite database over stdio, with tools for listing tables, describing schemas, and running paginated SQL queries.-
- FlicenseNot gradedqualityCmaintenanceEnables natural-language querying and safe read/write access to a small e-commerce SQLite database through MCP tools, including schema inspection, SELECT queries, and explicitly confirmed mutations.-
TDQS
Scored across 3 tools
Each tool targets a distinct stage of the workflow: listing tables, inspecting one table's schema, and executing a query. There is no overlap between discovery, inspection, and execution, so misselection is unlikely.
All three names follow a consistent snake_case verb_noun pattern (list_tables, describe_table, run_select). The vocabulary is predictable and readable.
Three tools is on the lean side, but each maps to a necessary step in a read-only SQL workflow and none is redundant. It is well-scoped for a 'lite' server, though a slightly richer surface would not feel bloated.
The list → describe → select lifecycle covers the core read-only use case, and the LIMIT safeguard prevents runaway results. Minor gaps exist (no EXPLAIN/query-plan inspection, no database/schema enumeration for multi-schema databases), but agents can work around these with SELECT queries.