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Glama

Server Details

Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.

Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsA

Average 3.9/5 across 23 of 23 tools scored. Lowest: 2.9/5.

Server CoherenceA
Disambiguation5/5

Each tool has a clearly distinct purpose. For instance, `analyze_table` vs `data_profile` are differentiated by scope (quick stats vs full quality report). Other tools like `explain_query`, `optimize_query`, and `suggest_queries` serve different needs. No overlapping functionality exists.

Naming Consistency5/5

All tool names follow a consistent `verb_noun` pattern in lowercase snake_case (e.g., `analyze_table`, `list_connections`, `generate_migration`). The naming is predictable and intuitive, with no mixed conventions or abbreviations causing confusion.

Tool Count4/5

With 23 tools, the set is slightly larger than the recommended 3-15 range, but each tool serves a justified purpose in the database management domain. No tool feels redundant or unnecessary; the count is appropriate for the server's comprehensive scope.

Completeness4/5

The tool surface is extensive, covering schema discovery, querying, optimization, analysis, migrations, monitoring, and security. Minor gaps exist (e.g., no migration execution, no schema diff tool), but the core workflows are well-supported and agents can accomplish most tasks without dead ends.

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