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HTTP MCP Server for comprehensive Python vulnerability scanning and security analysis.
io.github.andrasfe/vulnicheck is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 63/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding io.github.andrasfe/vulnicheck to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm docker.io/andrasfe/vulnicheck:mainReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2025-09-19T18:01:49.485418Z",
"publishedAt": "2025-09-19T18:01:49.485418Z",
"statusChangedAt": "2025-09-19T18:01:49.485418Z"
}
},
"server": {
"name": "io.github.andrasfe/vulnicheck",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
"version": "0.1.0",
"packages": [
{
"transport": {
"url": "http://localhost:3000/mcp",
"type": "streamable-http"
},
"identifier": "docker.io/andrasfe/vulnicheck:main",
"registryType": "oci",
"environmentVariables": [
{
"name": "NVD_API_KEY",
"format": "string",
"isSecret": true,
"description": "API key for NIST National Vulnerability Database (increases rate limit from 5 to 50 requests per 30 seconds)"
},
{
"name": "GITHUB_TOKEN",
"format": "string",
"isSecret": true,
"description": "GitHub token for Advisory Database access (increases rate limit to 5000 requests per hour)"
},
{
"name": "OPENAI_API_KEY",
"format": "string",
"isSecret": true,
"description": "OpenAI API key for LLM-based risk assessment in MCP passthrough operations"
},
{
"name": "ANTHROPIC_API_KEY",
"format": "string",
"isSecret": true,
"description": "Anthropic API key for LLM-based risk assessment (alternative to OpenAI)"
},
{
"name": "MCP_PORT",
"format": "number",
"description": "Port for MCP HTTP server (default: 3000)"
},
{
"name": "CACHE_TTL",
"format": "number",
"description": "Cache time-to-live in seconds for vulnerability data (default: 900)"
},
{
"name": "VULNICHECK_HTTP_ONLY",
"format": "string",
"description": "Enable HTTP-only mode with MCP client delegation (true/false, default: auto-detect)"
}
]
}
],
"repository": {
"url": "https://github.com/andrasfe/vulnicheck",
"source": "github"
},
"description": "HTTP MCP Server for comprehensive Python vulnerability scanning and security analysis."
}
}