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6 days ago
glama

MCP Database Connector + Agentic Retrieval

Enables natural language queries to a company database through the Model Context Protocol, with read-only enforcement and agentic error recovery.

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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.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 4 credentials: OPENAI_API_KEY, ANTHROPIC_API_KEY, PGADMIN_PASSWORD, MCP_READONLY_PASSWORD
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configAGENT_MODELagent (Anthropic) Optional model override (default claude-opus-4-8)
configAGENT_PROVIDERThe demo auto-detects which key is present (=openaianthropic
🔐 secretOPENAI_API_KEYcopy .env.example .env # then edit .env: set (or ANTHROPIC_API_KEY)
configOPENAI_AGENT_MODELagent (OpenAI) Optional model override (default gpt-4o-mini)
🔐 secretANTHROPIC_API_KEYcopy .env.example .env # then edit .env: set OPENAI_API_KEY (or )
configCOMPANY_DB_DSNmcp_server/backends.py Engine abstraction: SQLite (default) or PostgreSQL () behind the same 3 tools
configPGHOST
configPGPORT
configPGADMIN_USER
🔐 secretPGADMIN_PASSWORD$env:="<your postgres password>"
🔐 secretMCP_READONLY_PASSWORD
// 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 5 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/keerthivanan-mcp-database-connector-agentic-retrievel-1fbck5)](https://m8ven.ai/mcp/keerthivanan-mcp-database-connector-agentic-retrievel-1fbck5)
commit: 4b263ef058d49a5e5f198cde1d36e43cfcfa31b5
code hash: 01112abd8f650d43666c1c6a36f4ce2de1ca0bfee91730303cbca72284d7aac3
verified: 7/6/2026, 10:35:47 AM
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