68
/ 100
13 days ago
glama
Gaffer MCP Server
Connects AI coding assistants to Gaffer test history and coverage data to analyze project health, debug failures, and identify untested code areas. It enables tools to track test stability, cluster failures by root cause, and monitor code coverage trends across projects.
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// key findings
🚨
Secret credentials may flow to a network call
1 flow detected: GAFFER_API_KEY. We can’t prove the destination matches the brand the credential belongs to.
🚨
Known vulnerabilities in dependencies: 2 critical, 2 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
🔐
You'll be asked for 1 credential: GAFFER_API_KEY
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.🔐 secret
GAFFER_API_KEY— claude mcp add gaffer -e =gaf_your_api_key_here -- npx -y @gaffer-sh/mcpconfig
GAFFER_API_URL— No API base URL (default: https://app.gaffer.sh)// 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
[](https://m8ven.ai/mcp/gaffer-sh-mcp-889jzp)commit: c4053308d1b9082701dd51ae8cb2064f2d271d1f
code hash: 8f25f58704c0c68be73cd6420f9c1c32c027b505e2a5b76389e4978d6cc33f22
verified: 6/13/2026, 10:40:53 AM