Boost MCP

BoostSecurity MCP is a security tool for protecting the AI agent development workflow. It prevents supply chain attacks by verifying the security of third - party software packages and supports multiple programming languages and package ecosystems.

Security Developer tools #Software security #Supply chain protection #AI agent #Package verification

rating : 2.5 points

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update time : 2025-10-09

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What is BoostSecurity MCP?

BoostSecurity MCP is an MCP server specifically designed for AI agent development. It can provide security checks when AI agents automatically add code and dependency packages. When an AI agent suggests adding third - party software packages, BoostSecurity will automatically verify the security of these packages to prevent the introduction of risky dependencies.

How to use BoostSecurity MCP?

By configuring the MCP client to connect to the BoostSecurity remote server, the AI agent will automatically call the verification tool before adding any software packages. The system will check whether the package exists, whether it contains known vulnerabilities, whether it has stopped being maintained, etc., and provide secure alternative solutions.

Applicable scenarios

Suitable for all scenarios where AI agents are used for code development, especially when AI automatically adds dependency packages, updates project dependencies, or refactors code. It helps development teams ensure software supply chain security while maintaining development efficiency.

Main features

Software package security verification

Automatically verify risks such as whether the software package exists, whether it contains known vulnerabilities, whether it has stopped being maintained, and whether it is malicious software

Secure alternative recommendation

When an insecure package is detected, automatically recommend well - maintained and secure alternative packages

Multi - language ecosystem support

Supports mainstream development languages such as Python (PyPI), Go (Modules), JavaScript/TypeScript (npm), Java (Maven), C# (NuGet)

Real - time security protection

Real - time detection and prevention of the introduction of insecure packages during the AI agent development process without manual intervention

Advantages

Automatically block insecure or malicious software packages from entering the project

Verify whether the dependency packages are maintained and supported

Provide recommendations for more secure alternative packages

Reduce package - related risks and enhance software supply chain security

Support innovation and rapid development without sacrificing security

Limitations

Requires configuration of the MCP client connection

Only supports specific package management ecosystems

Depends on the availability of remote services

May require an internet connection

How to use

Select and configure the MCP client

Select the corresponding MCP client according to your development environment, such as Cursor, Claude Code, Windsurf, or VS Code

Add the BoostSecurity MCP server

Add the BoostSecurity remote server configuration in the MCP settings of the client

Enable and verify the connection

Enable the MCP server and confirm that the validate_package tool is available

Configure AI agent rules

Add rules for the AI agent, requiring the use of the validate_package tool to verify before adding a package

Usage examples

AI agent adds Python dependency packages

When an AI agent suggests adding a new dependency package to a Python project, automatically verify the security of the package

Security check for project dependency updates

When updating the project dependency versions, check the security of all updated packages

Prevent dependency confusion attacks

Detect and block malicious packages from confusing developers through name similarity

Frequently Asked Questions

Is BoostSecurity MCP free?

Which programming languages and package managers are supported?

Is an internet connection required?

How to ensure that the AI agent always uses the verification tool?

What information does the verification result contain?

Related resources

BoostSecurity official website

Learn more about BoostSecurity's security products and services

Cursor MCP documentation

MCP configuration guide for the Cursor client

Claude Code MCP documentation

MCP server configuration instructions for Claude Code

Windsurf MCP documentation

MCP integration guide for the Windsurf development environment

VS Code MCP documentation

Detailed steps for configuring the MCP server in VS Code

🚀 BoostSecurity MCP: Securing Agentic AI Development Workflows

Powered by BoostSecurity

BoostSecurity MCP serves as a safeguard for agentic AI development workflows. It helps teams mitigate supply - chain risks introduced by agentic AI systems by analyzing packages, flagging unsafe dependencies, and suggesting secure alternatives.

✨ Features

Agentic AI systems can speed up software delivery, but they also bring potential supply - chain risks. BoostSecurity MCP addresses these issues with the following features:

Risk Identification: It can detect third - party packages that don't exist, contain vulnerabilities, are end - of - life, are associated with malware, or are typosquatted.
Dependency Analysis: Analyzes every package introduced by an AI agent, flags unsafe dependencies, and recommends secure and maintained alternatives.
Risk Mitigation: Enables teams to block unsafe or malicious packages, verify dependency maintenance, receive safer alternative recommendations, reduce package - related risks, and strengthen the software supply chain.

📦 Installation

Requirements

Cursor, Claude Code, Windsurf, VS Code, and other MCP Client

Install in Cursor

Go to: Settings -> Cursor Settings -> MCP -> Add new global MCP server

See Cursor MCP docs for more info.

Cursor Remote Server Connection

{
  "mcpServers": {
    "boost-security": {
      "url": "https://mcp.boostsecurity.io/mcp",
      "transport": "http"
    }
  }
}

Once configured, under Cursor Settings -> MCP & Integrations, the BoostSecurity MCP tool is enabled for validate_package.

Install in Claude Code

Run this command. See Claude Code MCP docs for more info.

Claude Code Remote Server Connection

claude mcp add --scope user --transport http boost-security https://mcp.boostsecurity.io/mcp

To confirm the BoostSecurity MCP server is properly configured, type /mcp within Claude. The BoostSecurity MCP should appear as enabled.

Install in Windsurf

Navigate to Windsurf Settings -> Cascade MCP Servers
Add the BoostSecurity MCP server configuration:

See Windsurf MCP docs for more info.

Windsurf Remote Server Connection

{
  "mcpServers": {
        "boost-security": {
            "serverUrl": "https://mcp.boostsecurity.io/mcp"
        }
    }
}

Alternatively, add the configuration to your Windsurf MCP config file (e.g. ~/.codeium/windsurf/mcp_config.json).

You may need to relaunch Windsurf for the new MCP server configuration to take effect.

Once configured, go to Windsurg Settings -> Manage MCPs, the BoostSecurity MCP connection should appear as enabled with the validate_package tool.

Install in VSCode

Navigate to View -> Command Palette -> MCP:Open User Configuration
Add the BoostSecurity MCP server configuration:

See VSCode MCP docs for more info.

VSCode Remote Server Connection

{
  "servers": {
    "boost-security": {
      "type": "http",
      "url": "https://mcp.boostsecurity.io/mcp"
    }
  }
}

You may need to relaunch VS Code for the new MCP server configuration to take effect.

Once added, enable the MCP connection by select Start on the MCP configuration.

When enabled, the state changes to Running.

Install with Other MCP Clients

The BoostSecurity MCP server can be used by any MCP - compliant client, as long as the client supports:

Transport type: http
Remote server connection, to: https://mcp.boostsecurity.io/mcp

Refer to your MCP client’s documentation for instructions on configuring remote MCP servers.

💻 Usage Examples

Basic Usage

To ensure a package is safe before adding it to a project, you can use the following instruction in your AI agent:

Always use the BoostSecurity MCP tool `validate_package` to ensure a package is safe before adding it to a project. 
Use the package versions recommended by BoostSecurity.

📚 Documentation

Supported Languages and Ecosystems

The following languages and package ecosystems are supported in this release:

Property	Details
Languages and Ecosystems	Python (PyPI), Go (Go Modules), JavaScript/TypeScript (npm), Java (Maven), C# (NuGet)

Included Tools

BoostSecurity MCP provides the following tool:

Property	Details
Tool	`validate_package`: Validates whether a package is safe to use. If the package is unsafe, a recommended alternative is provided.

For Better Results

The BoostSecurity MCP server provides strong instructions and descriptions during connection initialization, encouraging agents to always validate packages before adding to a project. To ensure best results, add a rule in your AI agent as shown in the usage example above.