What can you do with this server?

The MCP NVD Server retrieves CVE information from the National Vulnerability Database (NVD). * Fetch CVE Data: Retrieve detailed information for a specific CVE ID * Multi-language Support: Access descriptions in multiple languages (e.g., English, Spanish) * Reference Retrieval: Obtain reference URLs and recommendations for affected software * API Integration: Supports NVD API integration with API key handling for rate limiting * Testing and Debugging: Uses pytest for automated testing and MCP Inspector for debugging * Dependency Management: Utilizes uv for dependency synchronization

Which integrations are available for this server?

Provides access to CVE information from the National Vulnerability Database (NVD), enabling the retrieval of security vulnerability data using CVE IDs.

How do I use MCP NVD Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP NVD Server get details for CVE-2024-6387" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

MCP NVD Server

Python MCP

MCP server that retrieves CVE information from the national vulnerability database (NVD).

Installation

Prerequisites

Install the following.

Related MCP server: cve-search_mcp

Building

NOTE

This project employsuv.

Synchronize dependencies and update the lockfile.

uv sync

Debugging

MCP Inspector

Use MCP Inspector.

Launch the MCP Inspector as follows:

npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-nvd run mcp-nvd

MCP Inspector

Testing

This project employs pytest for testing.

============================================================= test session starts =============================================================
platform win32 -- Python 3.12.9, pytest-8.3.5, pluggy-1.5.0
rootdir: D:\Users\ghays\src\mcp-nvd-server
configfile: pyproject.toml
plugins: anyio-4.9.0
collected 4 items

src/mcp_nvd/test_nvd.py::test_fetch_cve
---------------------------------------------------------------- live log call ---------------------------------------------------------------- 
2025-05-16 15:50:32 [    INFO] Fetching CVE: CVE-2025-30065... (nvd.py:42)
2025-05-16 15:50:33 [    INFO] Response: 200 (nvd.py:48)
2025-05-16 15:50:33 [    INFO] Description: Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions allows bad 
actors to execute arbitrary code


Users are recommended to upgrade to version 1.15.1, which fixes the issue. (nvd.py:55)
2025-05-16 15:50:33 [    INFO] Using constructor method to fetch CVE data for CVE-2025-30065 (test_nvd.py:14)
2025-05-16 15:50:33 [    INFO] Description (en) value: Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions 
allows bad actors to execute arbitrary code


Users are recommended to upgrade to version 1.15.1, which fixes the issue. (test_nvd.py:31)
2025-05-16 15:50:33 [    INFO] Description (es) value: El análisis del esquema en el módulo parquet-avro de Apache Parquet 1.15.0 y versiones anteriores permite que actores maliciosos ejecuten código arbitrario. Se recomienda a los usuarios actualizar a la versión 1.15.1, que soluciona el problema. (test_nvd.py:31)
2025-05-16 15:50:33 [    INFO] Reference check: https://lists.apache.org/thread/okzqb3kn479gqzxm21gg5vqr35om9gw5 (test_nvd.py:36)
PASSED                                                                                                                                   [ 25%] 
src/mcp_nvd/test_nvd.py::test_fetch_cve_no_constructor
---------------------------------------------------------------- live log call ---------------------------------------------------------------- 
2025-05-16 15:50:33 [    INFO] Fetching CVE: CVE-2025-30065... (nvd.py:42)
2025-05-16 15:50:34 [    INFO] Response: 200 (nvd.py:48)
2025-05-16 15:50:34 [    INFO] Description: Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions allows bad 
actors to execute arbitrary code


Users are recommended to upgrade to version 1.15.1, which fixes the issue. (nvd.py:55)
2025-05-16 15:50:34 [    INFO] Using non-constructor method to fetch CVE data for CVE-2025-30065 (test_nvd.py:43)
PASSED                                                                                                                                   [ 50%] 
src/mcp_nvd/test_nvd.py::test_fetch_description
---------------------------------------------------------------- live log call ---------------------------------------------------------------- 
2025-05-16 15:50:34 [    INFO] Fetching CVE: CVE-2025-30065... (nvd.py:42)
2025-05-16 15:50:34 [    INFO] Response: 200 (nvd.py:48)
2025-05-16 15:50:34 [    INFO] Description: Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions allows bad 
actors to execute arbitrary code


Users are recommended to upgrade to version 1.15.1, which fixes the issue. (nvd.py:55)
2025-05-16 15:50:34 [    INFO] Description for language 'en': Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions allows bad actors to execute arbitrary code


Users are recommended to upgrade to version 1.15.1, which fixes the issue. (test_nvd.py:69)
PASSED                                                                                                                                   [ 75%] 
src/mcp_nvd/test_nvd.py::test_fetch_references
---------------------------------------------------------------- live log call ---------------------------------------------------------------- 
2025-05-16 15:50:34 [    INFO] Fetching CVE: CVE-2025-30065... (nvd.py:42)
2025-05-16 15:50:34 [    INFO] Response: 200 (nvd.py:48)
2025-05-16 15:50:34 [    INFO] Description: Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions allows bad 
actors to execute arbitrary code







Users are recommended to upgrade to version 1.15.1, which fixes the issue. (nvd.py:55)
2025-05-16 15:50:34 [    INFO] Reference URL: https://lists.apache.org/thread/okzqb3kn479gqzxm21gg5vqr35om9gw5 (test_nvd.py:82)


Users are recommended to upgrade to version 1.15.1, which fixes the issue. (nvd.py:55)
2025-05-16 15:50:34 [    INFO] Reference URL: https://lists.apache.org/thread/okzqb3kn479gqzxm21gg5vqr35om9gw5 (test_nvd.py:82)


Users are recommended to upgrade to version 1.15.1, which fixes the issue. (nvd.py:55)
2025-05-16 15:50:34 [    INFO] Reference URL: https://lists.apache.org/thread/okzqb3kn479gqzxm21gg5vqr35om9gw5 (test_nvd.py:82)


Users are recommended to upgrade to version 1.15.1, which fixes the issue. (nvd.py:55)
2025-05-16 15:50:34 [    INFO] Reference URL: https://lists.apache.org/thread/okzqb3kn479gqzxm21gg5vqr35om9gw5 (test_nvd.py:82)


Users are recommended to upgrade to version 1.15.1, which fixes the issue. (nvd.py:55)




Users are recommended to upgrade to version 1.15.1, which fixes the issue. (nvd.py:55)
2025-05-16 15:50:34 [    INFO] Reference URL: https://lists.apache.org/thread/okzqb3kn479gqzxm21gg5vqr35om9gw5 (test_nvd.py:82)
2025-05-16 15:50:34 [    INFO] Reference URL: http://www.openwall.com/lists/oss-security/2025/04/01/1 (test_nvd.py:82)
2025-05-16 15:50:34 [    INFO] Reference URL: https://access.redhat.com/security/cve/CVE-2025-30065 (test_nvd.py:82)
2025-05-16 15:50:34 [    INFO] Reference URL: https://github.com/apache/parquet-java/pull/3169 (test_nvd.py:82)
2025-05-16 15:50:34 [    INFO] Reference URL: https://news.ycombinator.com/item?id=43603091 (test_nvd.py:82)
2025-05-16 15:50:34 [    INFO] Reference URL: https://www.bleepingcomputer.com/news/security/max-severity-rce-flaw-discovered-in-widely-used-apache-parquet/ (test_nvd.py:82)
2025-05-16 15:50:34 [    INFO] Reference URL: https://github.com/h3st4k3r/CVE-2025-30065/blob/main/POC-CVE-2025-30065-ParquetExploitGenerator.java (test_nvd.py:82)
2025-05-16 15:50:34 [    INFO] Reference URL: https://github.com/mouadk/parquet-rce-poc-CVE-2025-30065/blob/main/src/main/java/com/evil/GenerateMaliciousParquetSSRF.java (test_nvd.py:82)
PASSED                                                                                                                                   [100%] 

============================================================== 4 passed in 2.74s ==============================================================