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ai.rfp/rfp-ai
Draft cited RFP and security questionnaire answers from your knowledge base, with human review
io.github.andrasfe/vulnicheck · v0.1.0
HTTP MCP Server for comprehensive Python vulnerability scanning and security analysis.
vulnicheck 是一个MCP Server,收录自 官方 MCP Registry。支持 streamable-http 传输。本页提供 Cursor、Claude Code 等客户端的安装配置片段。
选择你的平台查看安装方式
{
"mcpServers": {
"vulnicheck": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"docker.io/andrasfe/vulnicheck:main"
]
}
}
}NVD_API_KEY可选secretAPI key for NIST National Vulnerability Database (increases rate limit from 5 to 50 requests per 30 seconds)
GITHUB_TOKEN可选secretGitHub token for Advisory Database access (increases rate limit to 5000 requests per hour)
OPENAI_API_KEY可选secretOpenAI API key for LLM-based risk assessment in MCP passthrough operations
ANTHROPIC_API_KEY可选secretAnthropic API key for LLM-based risk assessment (alternative to OpenAI)
MCP_PORT可选Port for MCP HTTP server (default: 3000)
CACHE_TTL可选Cache time-to-live in seconds for vulnerability data (default: 900)
VULNICHECK_HTTP_ONLY可选Enable HTTP-only mode with MCP client delegation (true/false, default: auto-detect)
v1.0.1
ai.rfp/rfp-ai
Draft cited RFP and security questionnaire answers from your knowledge base, with human review
v1.1.0
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{
"id": "io.github.andrasfe/vulnicheck",
"type": "mcp-server",
"version": "0.1.0",
"displayName": "vulnicheck",
"description": "HTTP MCP Server for comprehensive Python vulnerability scanning and security analysis.",
"repository": {
"url": "https://github.com/andrasfe/vulnicheck",
"source": "github"
},
"distribution": {
"packages": [
{
"registryType": "oci",
"identifier": "docker.io/andrasfe/vulnicheck:main",
"transport": "streamable-http",
"environmentVariables": [
{
"name": "NVD_API_KEY",
"description": "API key for NIST National Vulnerability Database (increases rate limit from 5 to 50 requests per 30 seconds)",
"isSecret": true
},
{
"name": "GITHUB_TOKEN",
"description": "GitHub token for Advisory Database access (increases rate limit to 5000 requests per hour)",
"isSecret": true
},
{
"name": "OPENAI_API_KEY",
"description": "OpenAI API key for LLM-based risk assessment in MCP passthrough operations",
"isSecret": true
},
{
"name": "ANTHROPIC_API_KEY",
"description": "Anthropic API key for LLM-based risk assessment (alternative to OpenAI)",
"isSecret": true
},
{
"name": "MCP_PORT",
"description": "Port for MCP HTTP server (default: 3000)"
},
{
"name": "CACHE_TTL",
"description": "Cache time-to-live in seconds for vulnerability data (default: 900)"
},
{
"name": "VULNICHECK_HTTP_ONLY",
"description": "Enable HTTP-only mode with MCP client delegation (true/false, default: auto-detect)"
}
]
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "io.github.andrasfe/vulnicheck",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.andrasfe%2Fvulnicheck/versions/latest",
"isOfficial": true,
"status": "active"
}
}