Top Commercial MCP Servers (as of mid-2025)

Top Commercial MCP Servers (as of mid-2025)

1. SOCRadar MCP Server

The SOCRadar MCP Server allows AI agents to interact directly with SOCRadar’s threat intelligence platform using natural language. It gives cybersecurity teams secure, real-time access to vulnerability data, attacker profiles, and response tools, without needing to click through dashboards. Key Capabilities:

• Natural Language Access to Threat Intel

Ask things like “What are the top CVEs affecting my external attack surface today?” and get structured, actionable answers.

• Real-Time Threat Hunting with AI Agents

Let AI assistants enrich IOCs, investigate actors, or generate executive-ready reports instantly.

• Full Report Automation

Just ask for a daily brief, industry-specific threat profile, or filtered CVE report—no templates or dashboards required. Benefits:

• Built for AI-Driven SOC Teams

Seamlessly integrates with internal AI agents, Claude Desktop, or other MCP-compatible tools.

• Frictionless Security Workflows

Replace click-heavy UIs with simple, voice- or text-driven commands.

• Secure, Controlled Access

Built for high-trust environments. It maintains strict boundaries while allowing flexible data access.

• Plug-and-Play AI Integration

No need to build custom APIs. The MCP server handles translation between model prompts and platform actions.

2. Wiz MCP Server: AI-Powered Cloud Security at Your Fingertips

The Wiz Model Context Protocol (MCP) Server integrates AI into cloud security workflows, making threat detection, remediation, and posture management faster and more intuitive. Built for seamless interaction with Wiz tools and LLMs, it transforms natural language queries into actionable security operations. Key Capabilities:

• Unified Security View

Connects all your cloud and security data sources into a single, contextual dashboard, ideal for fast investigations and response.

• Natural Language Interface

Ask plain-English questions about your cloud posture or security issues and get direct, actionable answers.

• Contextual Intelligence

Adds business context to findings, so teams can prioritize the most critical issues automatically. Use Cases:

• From IDE to GitHub

Spot vulnerabilities, navigate directly to the code, and generate pull requests without leaving your IDE.

• Active Threat Defense

Integrated with Wiz Defend for real-time detection and remediation of threats like malware or open ports.

• Cloud Posture Queries

Ask questions like “Which MongoDB instances are public?” and get immediate, precise insights.

3. Cloudflare MCP Server: AI-Driven Access to Cloudflare Services

The Cloudflare MCP Server gives developers and security teams natural language access to Cloudflare’s extensive suite of services from debugging logs to deploying applications via any MCP-compatible client (like Cursor or Claude). Key Capabilities:

• Natural Language Operations

Query, analyze, and manage your Cloudflare infrastructure using plain English. No need to write API calls or scripts.

• Automated Suggestions and Changes

Read data, get AI-generated recommendations, and optionally apply those changes automatically across Cloudflare products.

• Works Across Cloudflare Services

Includes support for development, observability, analytics, security misconfigurations, performance tuning, and more.

4. Burp Suite MCP Server: AI-Powered Web Security Testing

The Burp Suite MCP Server Extension bridges Burp Suite with AI clients using the Model Context Protocol (MCP), allowing users to interact with Burp’s security testing capabilities via natural language interfaces like Claude. Key Capabilities:

• Connect Burp Suite to AI Clients

Use tools like Claude to perform Burp Suite tasks with plain-language commands.

• Flexible Communication Options

Supports both SSE (Server-Sent Events) and Stdio proxy connections, making it compatible with different types of MCP clients.

• Packaged Proxy Server

Includes a built-in MCP proxy to ensure desktop apps like Claude can connect smoothly to Burp’s local server.

5. GitHub MCP Server: AI-Powered Access to Your Dev Workflow

The GitHub MCP Server connects AI tools like Claude, Cursor, or GitHub Copilot to your GitHub account, allowing LLMs to understand, manage, and automate repository tasks using natural language. Key Capabilities:

• Repository Management

Search code, browse file structures, review commits, and understand projects via plain-English commands.

• Issues & Pull Requests

Automatically create, triage, update, and manage issues or PRs. Great for bug tracking and code review.

• CI/CD & Workflows

Monitor and debug GitHub Actions workflows, analyze build failures, and manage releases.

• Security & Code Insights

Get AI-assisted views into Dependabot alerts, code scanning results, and risky patterns in your codebase.

• Team Collaboration

Track team activity, manage notifications, or interact with GitHub Discussions using AI agents.

6. Check Point MCP Server: AI Access to Your Security Infrastructure

The Check Point MCP Server brings natural language capabilities to your cybersecurity workflows, allowing AI tools to interact directly with Check Point’s APIs for tasks like compliance checks, configuration queries, and policy insights without writing scripts. Key Capabilities:

• Natural Language Access to Security Data

Ask questions like “Is my policy PCI-DSS compliant?” and receive structured answers backed by real Check Point data.

• Real-Time Infrastructure Queries

Use AI agents (e.g. Claude Desktop) to check policy status, audit configurations, or investigate issues across your environment.

• Composable with Other Tools

Combine with other MCP-compatible services to build rich, multi-step workflows across your full security stack.

7. Google Security MCP Server: AI Access to Google Threat Data and Security Tools

The Google Security MCP Server brings together multiple powerful security tools from Google and makes them accessible to AI clients like Claude Desktop or custom copilots, using natural language. Supported Google Security Tools:

• Chronicle (Google Security Operations): For advanced threat detection, hunting, and investigations.

• SOAR (Security Orchestration, Automation, and Response): Automate and manage incident response workflows.

• GTI (Google Threat Intelligence): Tap into Google’s vast threat intel datasets.

• Security Command Center (SCC): Monitor cloud security posture and manage risk across GCP.

8. Elastic Security MCP Server – Overview

Elastic provides an experimental MCP (Model Context Protocol) server that lets you connect directly to your Elasticsearch data from natural language interfaces like Claude Desktop or Goose. With this server, security teams can ask questions and run queries on their Elasticsearch indices using plain language, without needing to manually write DSL or ES|QL queries. What Can You Do with It? This MCP server gives clients access to core Elasticsearch functionality:

• list_indices – See all your Elasticsearch indices.
• get_mappings – View field mappings for a given index.
• search – Run traditional Elasticsearch queries (via DSL).
• esql – Use Elasticsearch’s newer ES|QL query language.

get_shards – Inspect shard details, optionally per index.