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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Provides EPSS scores, percentiles, and time series for CVEs, along with vulnerability details from the NVD API, enabling risk assessment through natural language.

README.md

1. EPSS MCP Server

Note: The major design of code in this repository is based on EPSS-MCP.

2. Features

EPSS MCP Server provides the following features:

  • Retrieve vulnerability details (including description, CWE, and CVSS scores) from the NVD API, and EPSS scores and percentiles from the EPSS API.
  • Retrieve EPSS scores for multiple CVEs.
  • Retrieve the EPSS time series data for a single CVE.
  • Retrieve the top N CVEs with the highest EPSS scores.

3. Run MCP Server on Docker

__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-mcp

4. Installation

4.1. Stdio

Prepare a Python virtual environment using uv. See uv for more details. ``sh curl -LsSf https://astral.sh/uv/install.sh | sh ``

uv sync
. .venv/bin/activate

__Cursor, Windsurf__

{
  "mcpServers": {
    "epss-mcp": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "epss-mcp"
      ]
    }
  }
}

4.2. Streamable HTTP, SSE

__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

5. Tool Examples

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: 

5.1. Get EPSS Score of single CVE

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.

5.2. Get EPSS Score of multiple CVEs

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.

5.3. Get EPSS Score of multiple CVEs with time series

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 |

5.4. Get top 5 CVEs with the highest EPSS scores

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

6. Reference

  • https://github.com/jgamblin/EPSS-MCP
  • https://nvd.nist.gov/developers/vulnerabilities
  • https://www.first.org/epss/api

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