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mcp-panther
mcp-panther logo

mcp-panther

Active·★ 47·Apache-2.0·Updated 2026-10-20

The Panther MCP server enhances security operations by enabling interactive natural language querying of security logs, facilitating the writing and tuning of detections from an IDE, and streamlining the triage and resolution of alerts. It integrates with various AI clients like Cursor and Claude Code, providing a powerful toolkit for security professionals to manage and respond to threats efficiently.

#Security Operations#SIEM#AI Assistant#LLM Integration#Threat Detection#Security Automation#API Server#DevSecOps
$ Install
$ docker run -i -e PANTHER_INSTANCE_URL="https://YOUR-PANTHER-INSTANCE.domain" -e PANTHER_API_TOKEN="YOUR-API-KEY" --rm ghcr.io/panther-labs/mcp-panther
↗ Visit site★ GitHub
01

Features

01Write and tune detections from your IDE
02Interactively query security logs using natural language
03Triage, comment, and resolve alerts
04Extensive Toolset for Security Operations
05AI-powered Alert Triage
02

Compatibility

Docker
Deployment
Verified via docs
Python
Runtime
Verified via docs
Cursor
Client
Verified via docs
Claude Code
Client
Verified via docs
Claude Desktop
Client
Verified via docs
Goose CLI
Client
Verified via docs
03

Quick start

1
$ docker run -i -e PANTHER_INSTANCE_URL="https://YOUR-PANTHER-INSTANCE.domain" -e PANTHER_API_TOKEN="YOUR-API-KEY" --rm ghcr.io/panther-labs/mcp-panther
04

Use cases

↳Automated Security Monitoring and Response
↳Interactive Threat Hunting
↳Streamlined Alert Management for SOCs
↳DevSecOps Integration for Security-as-Code
↳Continuous Security Posture Assessment
05

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
panther-labs /
mcp-panther
↗

Write detections, investigate alerts, and query logs from your favorite AI agents

47Apache-2.0
Last commit3d ago
StatusActive
CategoryObservability
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
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