🛡️ EUVDB MCP Server
@etxahun
About 🛡️ EUVDB MCP Server
Python MCP server that allows interacting with the public ENISA vulnerability API (EUVDB) via the MCP (Model Context Protocol).
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"euvdb-mcp-server": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tools
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Overview
What is 🛡️ EUVDB MCP Server?
A Python-based MCP server that provides query tools for the ENISA EUVDB Public Vulnerability API. It allows MCP-compatible AI assistants like Claude Desktop or Visual Studio Code to fetch vulnerability data, advisories, and perform advanced queries.
How to use 🛡️ EUVDB MCP Server?
Clone the repository, create a Python environment with uv, and run uv run server.py. Alternatively, build and run the Docker image (docker build -t mcp-euvdb . then docker run --rm mcp-euvdb). For VSCode integration, add the server configuration to settings.json using either the local uv command or the Docker image.
Key features of 🛡️ EUVDB MCP Server
- Latest vulnerabilities (max 8 results)
- Recently exploited vulnerabilities (max 8)
- Latest critical vulnerabilities (max 8)
- Query by CVE ID or ENISA ID
- Fetch advisories by advisory ID
- Advanced filtering (score, EPSS, date, product)
Use cases of 🛡️ EUVDB MCP Server
- Retrieve the latest critical vulnerabilities for security monitoring
- Look up a specific CVE to get detailed information
- Filter vulnerabilities by score or date range for targeted analysis
- Fetch advisories related to specific vendors like Cisco
- Integrate vulnerability queries into AI assistant workflows
FAQ from 🛡️ EUVDB MCP Server
What tools does the server expose?
The server provides seven tools: get_last_vulnerabilities, get_exploited_vulnerabilities, get_critical_vulnerabilities (each returning up to 8 results), get_vulnerability_by_id, get_enisaid, get_advisory, and query_vulnerabilities with advanced filters.
What are the runtime requirements?
Python 3.10 or higher and the uv package manager (optional but recommended). Required Python dependencies are mcp[cli] and httpx.
How do I integrate this server with VSCode?
Open VSCode settings.json and add an MCP server entry under "mcp" → "servers". Use the local uv run server.py command or reference a pre-built Docker image mcp-euvdb.
What data source does the server use?
It interacts with the public ENISA EUVDB Public Vulnerability API (euvd.enisa.europa.eu), which is open and does not require authentication.
Can I run the server inside Docker?
Yes. Build the image with docker build -t mcp-euvdb . and run with docker run --rm -i mcp-euvdb. This image can also be used directly in VSCode's MCP configuration.
Frequently asked questions
What tools does the server expose?
The server provides seven tools: `get_last_vulnerabilities`, `get_exploited_vulnerabilities`, `get_critical_vulnerabilities` (each returning up to 8 results), `get_vulnerability_by_id`, `get_enisaid`, `get_advisory`, and `query_vulnerabilities` with advanced filters.
What are the runtime requirements?
Python 3.10 or higher and the `uv` package manager (optional but recommended). Required Python dependencies are `mcp[cli]` and `httpx`.
How do I integrate this server with VSCode?
Open VSCode settings.json and add an MCP server entry under `"mcp"` → `"servers"`. Use the local `uv run server.py` command or reference a pre-built Docker image `mcp-euvdb`.
What data source does the server use?
It interacts with the public ENISA EUVDB Public Vulnerability API (euvd.enisa.europa.eu), which is open and does not require authentication.
Can I run the server inside Docker?
Yes. Build the image with `docker build -t mcp-euvdb .` and run with `docker run --rm -i mcp-euvdb`. This image can also be used directly in VSCode's MCP configuration.
Basic information
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