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25 days ago
glama

query-executor

Enables AI agents to read and optionally write to PostgreSQL databases through a multi-project setup with schema inspection, query execution, and performance analysis tools.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configLOG_LEVELINFO Python logging level
configDEFAULT_PROJECTdefault Fallback project when project_id is omitted
configDATABASES_FILEdatabases.json Path to the databases registry file
configCONNECT_TIMEOUT10.0 asyncpg connection timeout in seconds
configEXPLAIN_TIMEOUT_MS30000 Statement timeout for EXPLAIN ANALYZE in milliseconds
configSTAT_STATEMENTS_DEFAULT_LIMIT20 Default row limit for pg_stat_statements
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 2 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/nitesh-nandan-query-executor-18npv3)](https://m8ven.ai/mcp/nitesh-nandan-query-executor-18npv3)
commit: a7d3f8434e139421ecce45ecab4a7eddd61ad4f6
code hash: e6fa6179c03db3d5ba61942a0638e9a17be9b5d091c4a5ae4c4544595de75d62
verified: 7/6/2026, 10:38:42 AM
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