mcp-nvd
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| NVD_API_KEY | Yes | Your NVD API key (request from https://nvd.nist.gov/developers/request-an-api-key) |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_cveC | Get a CVE based on the ID and return a formatted string with detailed attributes. |
| search_cveC | Search CVEs by keyword and return formatted results matching the get_cve format. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: get_cve retrieves a specific CVE by ID, while search_cve finds CVEs by keyword. There is no overlap in functionality, making it easy for an agent to choose the correct tool based on whether it needs a specific item or a broader search.
Both tools follow a consistent verb_noun pattern (get_cve and search_cve), using the same base noun 'cve' and descriptive verbs that clearly indicate their actions. This consistency enhances readability and predictability.
With only 2 tools, the server feels thin for the domain of CVE management, as it lacks essential operations like filtering by date, severity, or vendor, or updating/creating entries. While the tools cover basic retrieval and search, the scope is incomplete for typical security workflows.
The tool surface is severely incomplete for CVE management, missing critical operations such as filtering by parameters like date range or CVSS score, handling CVE updates or annotations, and providing bulk operations. This will likely cause agent failures when more complex queries or actions are needed.