cvefeed-mcp
MCP server providing vulnerability intelligence from CVEFeed.io, enabling CVE search, product subscriptions, and alert management via natural language.
README
cvefeed-mcp
Model Context Protocol (MCP) server for the CVEFeed.io vulnerability intelligence API. Gives Claude Desktop, Cursor, Cline, and any other MCP-aware agent direct access to CVE search, project subscriptions, and vulnerability alerts.
Install
pip install cvefeed-mcp
# or
uvx cvefeed-mcp
Authenticate
Create a Project API Token at https://cvefeed.io/project/settings/api-tokens/, copy it, and export it alongside the numeric id of the project the token was issued for:
export CVEFEED_API_TOKEN=cvefeed_XXXXXXXX_...
export CVEFEED_PROJECT_ID=42
Each token is bound to exactly one project — one MCP install targets one project. The project id is the integer in your project dashboard URL (/project/detail/<slug>/; the numeric id is also shown in the project settings page).
Recommended scopes for full MCP functionality
MCP tools span four resource scopes. Grant read on every resource the agent may touch so it doesn't hit an "insufficient scope" error mid-task:
vulnerabilities: read— CVE / CPE / CVEQL / EPSS discovery toolssubscriptions: read(orwriteto let the agent add / remove product subscriptions)alerts: read(orwriteto let the agent mark alerts as read)activity_log: read— Enterprise only; required byread_project_activity_log
write implies read, so you don't need to tick both on the same resource.
Optionally override the base URL for staging or self-hosted deployments:
export CVEFEED_BASE_URL=https://cvefeed.io # default
Use with Claude Desktop
Add to your ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or equivalent:
{
"mcpServers": {
"cvefeed": {
"command": "uvx",
"args": ["cvefeed-mcp"],
"env": {
"CVEFEED_API_TOKEN": "cvefeed_XXXXXXXX_...",
"CVEFEED_PROJECT_ID": "42"
}
}
}
}
Use with Cursor / Cline
Same MCP server config format — point command at cvefeed-mcp (or uvx cvefeed-mcp) and set CVEFEED_API_TOKEN + CVEFEED_PROJECT_ID in the env block.
Available tools
| Tool | Purpose | Auth required |
|---|---|---|
search_cves |
Full-text and filter search over the CVE catalog | Optional |
get_cve_detail |
Fetch full metadata for a single CVE | Optional |
run_cveql_query |
Execute a CVEQL query for advanced hunting | Optional |
lookup_by_cpe |
Resolve CPE 2.3 URIs to CVEs/products/vendors | Pro tier |
get_exploit_intel |
Public exploits and EPSS scores | Pro tier |
list_product_subscriptions |
List subscriptions on the configured project | subscriptions:read |
add_product_subscription |
Subscribe the project to a product | subscriptions:write |
remove_product_subscription |
Unsubscribe from a product | subscriptions:write |
search_products |
Search products with subscription status | subscriptions:read |
list_project_alerts |
Read vulnerability alerts on the project | alerts:read |
mark_alert_read |
Mark an alert as read | alerts:write |
read_project_activity_log |
Read project audit log | activity_log:read, Enterprise |
Every project-scoped tool targets the single project set via CVEFEED_PROJECT_ID; the LLM never passes a project id.
Local development
cd mcp-server
pip install -e ".[dev]"
pytest -v
Transport
Ships stdio transport only (what Claude Desktop, Cursor, and Cline expect). Remote streamable-HTTP transport may follow in a later release.
License
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。