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12 days ago
glama

Feedback MCP

Collect and analyze user feedback from any app via a single API endpoint, with MCP tools for listing, searching, and stats.

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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 1 credential: MCP_SECRET
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.
configCONFIG_DIRno Override the config directory (default config/ in the app root)
configDATABASE_PROVIDERno postgresql (default) or sqlite
configDATABASE_URLno Connection string. Defaults: local Postgres on :5457, or file:./data/feedback.db for SQLite
configFEEDBACK_RETENTION_DAYSRetention: set and feedback older than the window is deleted automatically (swept at most hourly, piggybacking on ingest traffic; no cron needed).
🔐 secretMCP_SECRETedit .env: set and EXAMPLE_APP_INGEST_KEY (openssl rand -hex 32)
configNEXT_PUBLIC_SITE_URL
configPAGES_BASE_PATH
configPUBLIC_URLno Public origin used in OAuth discovery metadata when behind a proxy, e.g. https://feedback.your-domain.com
configSLACK_WEBHOOK_URLslackWebhookEnv no Env var naming a per-project Slack webhook (overrides )
// 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 6 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/parra-inc-feedback-mcp-xhnw8k)](https://m8ven.ai/mcp/parra-inc-feedback-mcp-xhnw8k)
commit: abab0e388b2434028d0d4bae125949265e432ef4
code hash: 32253c67d27f7ff9bbdcd5c91e410bcf2715f130197e3fd9821cbf20b7cc54e5
verified: 7/19/2026, 8:43:55 AM
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