What does “Contrast” MCP Server do?
The Contrast MCP Server connects AI assistants with the Contrast Security platform, enabling enhanced development workflows by providing access to security data and analysis. As an MCP (Model Context Protocol) server, it acts as a bridge between AI-powered tools and external security resources, allowing users to perform tasks such as querying security vulnerabilities, managing application security posture, and automating security-related workflows. By integrating with external APIs and data sources, the Contrast MCP Server helps streamline tasks like security event detection, reporting, and remediation, making it easier for developers to incorporate security insights directly into their development process.
List of Prompts
No prompt templates are mentioned in the available repository materials.
List of Resources
No explicit resources are described in the repository files or documentation.
List of Tools
No tools are listed or described in the repository files such as server.py
or other source code files.
Use Cases of this MCP Server
No detailed use cases are provided in the available documentation or repository files.
How to set it up
Windsurf
- Ensure you have Java and Maven installed as prerequisites.
- Locate your Windsurf configuration file.
- Add the Contrast MCP Server using the recommended package, e.g.,
@contrast/mcp-server@latest
. - Insert the JSON configuration for the MCP server.
- Save your configuration and restart Windsurf to apply changes.
Example JSON:
{
"mcpServers": {
"contrast": {
"command": "contrast-mcp-server",
"args": []
}
}
}
Claude
- Install Java and Maven if not already present.
- Find the Claude configuration file for MCP servers.
- Add the Contrast MCP Server configuration.
- Save and restart Claude for changes to take effect.
- Verify the server is active.
Example JSON:
{
"mcpServers": {
"contrast": {
"command": "contrast-mcp-server",
"args": []
}
}
}
Cursor
- Prerequisites: Java and Maven must be installed.
- Edit the Cursor configuration file.
- Add the MCP server under the mcpServers object.
- Save the configuration and restart Cursor.
- Confirm the MCP server integration.
Example JSON:
{
"mcpServers": {
"contrast": {
"command": "contrast-mcp-server",
"args": []
}
}
}
Cline
- Make sure Java and Maven are installed.
- Open the Cline configuration file.
- Add the Contrast MCP Server using the appropriate JSON snippet.
- Save and restart Cline.
- Ensure the server is running.
Example JSON:
{
"mcpServers": {
"contrast": {
"command": "contrast-mcp-server",
"args": []
}
}
}
Securing API Keys
It is recommended to secure API keys using environment variables:
Example JSON:
{
"mcpServers": {
"contrast": {
"command": "contrast-mcp-server",
"env": {
"CONTRAST_API_KEY": "your-api-key-here"
},
"inputs": {
"apiKey": "${CONTRAST_API_KEY}"
}
}
}
}
How to use this MCP inside flows
Using MCP in FlowHunt
To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:
{
"contrast": {
"transport": "streamable_http",
"url": "https://yourmcpserver.example/pathtothemcp/url"
}
}
Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “contrast” to whatever the actual name of your MCP server is (e.g., “github-mcp”, “weather-api”, etc.) and replace the URL with your own MCP server URL.
Overview
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | Basic overview from README |
List of Prompts | ⛔ | No prompt templates found |
List of Resources | ⛔ | No resources listed |
List of Tools | ⛔ | No tools listed |
Securing API Keys | ✅ | Added generic example |
Sampling Support (less important in evaluation) | ⛔ | Not mentioned |
Our opinion
The Contrast MCP Server repository provides a minimal overview and setup guidance, but lacks detailed documentation on prompt templates, resources, and tools. The absence of described use cases or explicit lists limits its immediate utility for developers seeking integration examples. The presence of a license, basic setup, and stars/forks indicates some maturity, but the lack of technical specifics and examples reduces its practical score.
MCP Score
Has a LICENSE | ✅ (Apache-2.0) |
---|---|
Has at least one tool | ⛔ |
Number of Forks | 2 |
Number of Stars | 6 |
Frequently asked questions
- What is the Contrast MCP Server?
The Contrast MCP Server connects AI assistants with the Contrast Security platform, providing secure access to vulnerability data and application security insights. It enables developers to automate security workflows, detect vulnerabilities, and manage application posture directly from their AI tools.
- How do I set up the Contrast MCP Server in FlowHunt?
To set up, install Java and Maven, then add the Contrast MCP Server configuration to your preferred FlowHunt-compatible client (e.g., Windsurf, Claude, Cursor, Cline) as described in the examples above. Restart your client to activate the integration.
- How can I secure my Contrast API keys?
Store your API key securely using environment variables in the MCP server configuration. For example: { "env": { "CONTRAST_API_KEY": "your-api-key-here" }, "inputs": { "apiKey": "${CONTRAST_API_KEY}" } }
- What tasks can I automate using the Contrast MCP Server?
You can automate security event detection, vulnerability reporting, application posture management, and remediation workflows—directly integrating Contrast Security insights into your AI-powered development process.
- Are there prompt templates or tool definitions available?
No prompt templates or tool definitions are provided in the current repository documentation. The server primarily acts as a bridge between AI agents and Contrast Security’s data and APIs.
Integrate Contrast Security with FlowHunt
Supercharge your AI workflows with Contrast MCP Server—gain instant security insights and automate DevSecOps directly within FlowHunt.