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    Osv Mcp

    MCP Server for Vulnerabilities based on OSV API

    0 stars
    Python
    Updated Apr 22, 2025

    Table of Contents

    • Features
    • Prerequisites
    • Setup Instructions
    • 1. Clone the Repository
    • 2. Create a Virtual Environment (Recommended)
    • 3. Install Dependencies
    • 4. Start the MCP Server
    • Using MCP Servers with AI Assistants and LLMs
    • Using OSV MCP Server with Claude Desktop
    • Development
    • License

    Table of Contents

    • Features
    • Prerequisites
    • Setup Instructions
    • 1. Clone the Repository
    • 2. Create a Virtual Environment (Recommended)
    • 3. Install Dependencies
    • 4. Start the MCP Server
    • Using MCP Servers with AI Assistants and LLMs
    • Using OSV MCP Server with Claude Desktop
    • Development
    • License

    Documentation

    OSV MCP Server

    This project provides an MCP (Model Context Protocol) server for integrating OSV (Open Source Vulnerabilities) data and tools with AI assistants or large language models (LLMs). The server is implemented in Python and exposes tools and resources that can be used by LLMs to enhance their workflow and capabilities. Here is a screenshot of Claude Desktop using the OSV MCP Server.

    Claude Desktop Using OSV MCP Server

    Features

    • Exposes OSV-related data via the MCP protocol
    • Easily connectable to AI assistants or LLMs that support MCP
    • Simple Python-based setup

    Prerequisites

    • Python 3.8+ installed on your system
    • uv (Python package manager, installation instructions)

    Setup Instructions

    1. Clone the Repository

    Clone this repository to your local machine:

    bash
    git clone https://github.com/your-org/osv-mcp.git
    cd osv-mcp

    2. Create a Virtual Environment (Recommended)

    It is recommended to use a virtual environment to avoid dependency conflicts:

    bash
    curl -LsSf https://astral.sh/uv/install.sh | sh
    uv venv

    3. Install Dependencies

    Install the required Python packages using uv:

    bash
    uv sync

    4. Start the MCP Server

    Run the server using:

    bash
    uv run vulns.py

    Using MCP Servers with AI Assistants and LLMs

    MCP servers expose tools and resources over a local or network-accessible API. AI assistants and LLMs that support the Model Context Protocol can connect to one or more MCP servers to extend their capabilities. Once connected, the assistant can invoke the query_vulnerabilities tool.

    Consult your AI assistant or LLM's documentation for specific instructions on adding or configuring MCP servers.

    Using OSV MCP Server with Claude Desktop

    Add the OSV MCP server in claude_desktop_config.json file.

    On Mac or Linux, edit: ~/Library/Application\ Support/Claude/claude_desktop_config.json.

    On Windows, edit: env:AppData\Claude\claude_desktop_config.json.

    Add the OSV MCP server to the config as below.

    json
    {
        "mcpServers": {
            "vulns": {
                "command": "uv",
                "args": [
                    "--directory",
                    "/ABSOLUTE/PATH/TO/PARENT/FOLDER/osv-mcp",
                    "run",
                    "vulns.py"
                ]
            }
        }
    }

    Development

    • Source code is in vulns.py.
    • Project dependencies are managed via pyproject.toml.

    License

    MIT License (or specify your license here)

    ---

    For further questions or support, please open an issue or contact the maintainers.

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