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1 month ago
glama

srs-mcp

Enables agents to perform spaced-repetition learning with FSRS scheduling, including adding cards, reviewing due cards, and grading recall, using a headless SQLite or Postgres backend.

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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.
configSRS_DATABASE_URLPostgres (shared deck) — set (or DATABASE_URL)
configDATABASE_URLPostgres (shared deck) — set SRS_DATABASE_URL (or )
configSRS_DBSQLite file at (default ./srs.db). Single-host / offline. In
configMCP_TRANSPORTstdio uv run srs-mcp
configHOST
configPORT8000 uv run srs-mcp
// 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/klutometis-srs-mcp-cdouxz)](https://m8ven.ai/mcp/klutometis-srs-mcp-cdouxz)
commit: 1e9b6732e0d21aa1d255fdde4492323e5ce7418a
code hash: b7439088feb177c216b43434e6f703d7aeb367815615066e1d38ebda3970b3ac
verified: 6/28/2026, 9:06:44 AM
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