schema-guard-mcp
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Alternatives to schema-guard-mcp
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Related Servers
- AlicenseAqualityBmaintenanceGives an AI agent a database's tables, columns, value lists, null shares and joins from a dbprint snapshot committed to your repo, with no database connection or credentials. Tools list and search tables and columns, render prompt-ready context for a table, resolve a filter value to its stored spelling, and report what changed since the last snapshot.7291 PyPI2Apache 2.0
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to explore and query approved portions of local SQLite snapshots through denylist-free, policy-restricted typed MCP tools, including schema inspection, safe SELECT queries, table statistics, and schema-fingerprint verification. Sanitizes unmasked outputs and denies undeclared tables and sensitive columns so disclosures stay limited even during advanced queries.MIT
- AlicenseAqualityCmaintenanceExposes SQL Server and Snowflake schema metadata to AI coding agents, enabling schema search, join path discovery, and stored procedure metadata retrieval without live queries.18GPL 3.0
- AlicenseNot gradedqualityBmaintenanceEnables agents to inspect dbt model semantics, retrieve contracts and lineage, and verify that edits do not change what models mean.Apache 2.0
- AlicenseNot gradedqualityBmaintenanceProvides MCP tools that help AI agents get their bearings in a codebase with unified SQL views over code, git, docs, and conversations, powered by DuckDB.119 PyPI5Apache 2.0
- AlicenseNot gradedqualityBmaintenanceGives AI coding assistants, IDEs, and CI full PostgreSQL schema intelligence from an offline snapshot, enabling linting, query validation, migration safety analysis, and foreign key graph exploration without ever exposing database credentials.36BSD 2-Clause "Simplified"
TDQS
Scored across 4 tools
list_tables and search_columns can both surface table-name matches, creating slight overlap, but describe_table and check_sql are clearly distinct. Descriptions help clarify intent, so misselection is unlikely.
All four tools follow a consistent snake_case verb_noun pattern: list_tables, describe_table, search_columns, and check_sql. There are no mixed conventions or vague verb styles.
Four tools is well-scoped for a schema exploration and SQL validation server. Each tool has a clear role, and the set avoids both bloat and thinness.
The set covers the core schema-guard workflow: discovering tables, inspecting columns, searching columns, and validating SQL against the snapshot. No obvious lifecycle gaps exist for the stated purpose.