Epss Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Epss Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Note: The major design of code in this repository is based on EPSS-MCP.
EPSS MCP Server provides the following features:
__Note:__ If you want to change transport type, edit Dockerfile like this.
# Stdio transport(Default)
CMD ["python3", "epss_mcp.py", "--transport", "stdio"]
# SSE transport
CMD ["python3", "epss_mcp.py", "--transport", "sse"]
# Streamable HTTP transport
CMD ["python3", "epss_mcp.py", "--transport", "http"]Build docker image
cd epss-mcp
docker build -t epss-mcp .Run MCP server
# Stdio transport
docker run --rm -i epss-mcp
# SSE transport (Access from localhost only is recommended)
docker run -d -p 127.0.0.1:8000:8000 epss-mcp
# Streamable HTTP transport (Access from localhost only is recommended)
docker run -d -p 127.0.0.1:8000:8000 epss-mcpPrepare a Python virtual environment using uv. See uv for more details.
curl -LsSf https://astral.sh/uv/install.sh | shuv sync
. .venv/bin/activate__Cursor, Windsurf__
{
"mcpServers": {
"epss-mcp": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"epss-mcp"
]
}
}
}__Cursor__
{
"mcpServers": {
"epss-mcp": {
"url": "http://localhost:8000/mcp"
}
}
}__Windsurf__
serverUrl is your server URL or IP address.
{
"mcpServers": {
"epss-mcp": {
"serverUrl": "http://localhost:8000/sse"
}
}
}>Windsurf supports two transport types for MCP servers: stdio and /sse https://docs.windsurf.com/windsurf/cascade/mcp
This example is simply demonstrating how each function works, so it's executed using a Python script as the MCP client. (You can use them via an LLM through editors like Cursor or Windsurf.)
Note: MCP client for testing purposes. (Gemini API Key required)
export GOOGLE_API_KEY=<your api key>Start the MCP server with stdio transport
$ uv run client/client.py epss-mcp/epss_mcp.py
Connected to server with tools: ['get_cve_info', 'top_epss_cves']
MCP Client Started!
Type your queries or `quit` to exit.
Query: Query: Get EPSS of CVE-2025-33053
> Thinking...
[Calling tool get_cve_info with args {'cve_id': 'CVE-2025-33053'}]
The EPSS score for CVE-2025-33053 is 0.41763, and the percentile is 97.264.Query: Get EPSS of CVE-2025-33053, CVE-2025-21298
> Thinking...
[Calling tool get_cve_info with args {'cve_id': 'CVE-2025-33053,CVE-2025-21298'}]
CVE-2025-33053 has an EPSS score of 0.41763 and is in the 97.264 percentile. CVE-2025-21298 has an EPSS score of 0.70558 and is in the 98.593 percentile.Query: Get time series of CVE-2025-33053 with table format
> Thinking...
[Calling tool get_cve_info with args {'cve_id': 'CVE-2025-33053', 'time_series': True}]
Here is the time series data for CVE-2025-33053 in a table format:
| Date | EPSS | Percentile |
|------------|------------|------------|
| 2025-07-07 | 0.417630000 | 0.972650000 |
| 2025-07-06 | 0.37155000 | 0.96976000 |
| 2025-07-01 | 0.32398000 | 0.96662000 |
| 2025-06-30 | 0.30219000 | 0.96437000 |
| 2025-06-23 | 0.15008000 | 0.94213000 |
| 2025-06-18 | 0.16497000 | 0.94551000 |
| 2025-06-16 | 0.18266000 | 0.94860000 |
| 2025-06-15 | 0.32831000 | 0.96637000 |
| 2025-06-13 | 0.27895000 | 0.96193000 |
| 2025-06-12 | 0.53232000 | 0.97806000 |
| 2025-06-11 | 0.54359000 | 0.97862000 |uv run client_stdio.py ../epss-mcp/epss_mcp.py --top_n 5
> Thinking...
[Calling tool top_epss_cves with args {'top_n': 5}]
Here are the top 5 CVEs with the highest EPSS scores:
CVE-2023-42793, EPSS score: 0.94584, EPSS percentile: 100.0
CVE-2024-27198, EPSS score: 0.94577, EPSS percentile: 100.0
CVE-2023-23752, EPSS score: 0.94532, EPSS percentile: 100.0
CVE-2024-27199, EPSS score: 0.94489, EPSS percentile: 99.99900000000001
CVE-2018-7600, EPSS score: 0.94489, EPSS percentile: 99.99900000000001~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.