Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"crowdsentinel": {
"env": {
"VERIFY_CERTS": "false",
"ELASTICSEARCH_HOSTS": "https://localhost:9200",
"ELASTICSEARCH_API_KEY": "your_api_key"
},
"args": [
"crowdsentinel-mcp-server"
],
"command": "uvx"
}
}
}Are you the author?
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MCP Official Registry · PyPI Package
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'crowdsentinel-mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked crowdsentinel-mcp-server against OSV.dev.
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MCP Official Registry · PyPI Package
Open-source threat hunting orchestrator connecting LLMs to enterprise security data via Model Context Protocol (MCP)
Quick Start · Installation · CLI Usage · Features · Architecture · Documentation · Examples
Warning This project is in active development and intended for security testing, research, and educational purposes only. It is not production-ready. Do not deploy in production environments. APIs, tool interfaces, and data formats may change without notice. Use at your own risk.
https://github.com/user-attachments/assets/0d0381f0-5b68-43b2-8630-19ec130885b2
CrowdSentinel transforms traditional SIEM querying into intelligent, framework-driven investigations using natural language. It serves as a unified security intelligence layer that connects large language models to enterprise security data sources, enabling:
# Install with pip
pip install crowdsentinel-mcp-server
# Or install with uv
uv pip install crowdsentinel-mcp-server
# Download detection rules, Chainsaw, and Sigma rules (one-time)
crowdsentinel setup
Detection rules (6,060 Lucene + EQL + ES|QL) are bundled with the package — no download needed. The `setu