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by ptelang • Security & Privacy
A lightweight Python MCP server that exposes Open Source Vulnerabilities (OSV) data and tools to AI assistants and LLMs.
Query and retrieve OSV vulnerability data programmatically within an assistant workflow.
Augment LLM responses with up-to-date vulnerability context when analyzing software dependencies or security issues.
A locally run MCP-connected tool to integrate vulnerability lookups into private or offline assistant deployments.
This project implements an MCP (Model Context Protocol) server that surfaces OSV vulnerability data and related tools for integration with AI assistants. It is written in Python, distributed under the MIT license, and intended to be run locally (using the uv tool) to provide a query_vulnerabilities tool over MCP. The server makes it easy for LLMs or agents that support MCP to query and use vulnerability information as part of their workflows.
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