falcon-mcp — MCP Server by CrowdStrike

by CrowdStrike · MCP Server · ★ 201

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About falcon-mcp

falcon-mcp falcon-mcp is a Model Context Protocol (MCP) server that connects AI agents with the CrowdStrike Falcon platform, powering intelligent security analysis in your agentic workflows. It delivers programmatic access to essential security capabilities—including detections, incidents, and behaviors—establishing the foundation for advanced security operations and automation. [!IMPORTANT] 🚧 Public Preview: This project is currently in public preview and under active development. Features and functionality may change before the stable 1.0 release. While we encourage exploration and testing, please avoid production deployments. We welcome your feedback through GitHub Issues to help shape the final release. Table of Contents API Credentials \& Required Scopes [Setting Up CrowdStr

aicrowdstrikefalconmcpmcp-server

Quick Facts

Stars201
Forks66
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score54.892/100
Open Issues12
Last Updated2026-06-18
Created2025-06-10
Platformsmcp, python
Est. Tokens~21k

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Frequently Asked Questions

What is falcon-mcp?

falcon-mcp is Connect AI agents to CrowdStrike Falcon for automated security analysis and threat hunting. It is categorized as a MCP Server with 201 GitHub stars.

What programming language is falcon-mcp written in?

falcon-mcp is primarily written in Python. It covers topics such as ai, crowdstrike, falcon.

How do I install or use falcon-mcp?

You can find installation instructions and usage details in the falcon-mcp GitHub repository at github.com/CrowdStrike/falcon-mcp. The project has 201 stars and 66 forks, indicating an active community.

What license does falcon-mcp use?

falcon-mcp is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to falcon-mcp?

The top alternatives to falcon-mcp on Agent Skills Hub include Dulus, LLM-Finetuning-Toolkit, llms_tool. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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