What is the current status of falcon-mcp?
It is in **public preview** under active development. Features may change before the stable 1.0 release, so production deployments are not recommended.
@CrowdStrike
Basic information
Connects AI agents with the CrowdStrike Falcon platform for intelligent security analysis, providing programmatic access to detections, incidents, behaviors, threat intelligence, hosts, vulnerabilities, and identity protection capabilities.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"falcon-mcp": {
"command": "uvx",
"args": [
"falcon-mcp"
],
"env": {
"FALCON_CLIENT_ID": "your-client-id",
"FALCON_CLIENT_SECRET": "your-client-secret",
"FALCON_BASE_URL": "https://api.crowdstrike.com"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Crowdstrike Falcon is a Model Context Protocol (MCP) server that connects AI agents with the CrowdStrike Falcon platform for security analysis. It provides programmatic access to detections, incidents, behaviors, threat intelligence, and other security capabilities.
Install the server with pip install falcon-mcp (requires Python 3.11+). Configure CrowdStrike API credentials via environment variables (FALCON_CLIENT_ID, FALCON_CLIENT_SECRET), then run falcon-mcp on the command line or integrate with an MCP client like Claude Desktop. Modules can be enabled or disabled using command-line flags.
It is in **public preview** under active development. Features may change before the stable 1.0 release, so production deployments are not recommended.
Scopes depend on the modules you enable. For example, Detections needs `Alerts:read`, Incidents needs `Incidents:read`, and Intel needs multiple Falcon Intelligence scopes. See the README for the full list.
FQL has nuanced syntax. AI-generated filters should be tested and validated before production use. Start with simple queries and gradually build complexity.
Install via `pip install falcon-mcp` with Python 3.11+. Copy `.env.example` to `.env` and set `FALCON_CLIENT_ID` and `FALCON_CLIENT_SECRET` from your CrowdStrike API credentials.
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