Skip to main content
Glama

Related Servers

Alternatives to RSigma

  • A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that provides Sigma rule validation and configuration capabilities for AI assistants. It enables users to validate Sigma detection rules against various validators and manage validator configurations through MCP tools and resources.
    4
    MIT

Related Servers

  • A
    license
    A
    quality
    A
    maintenance
    Sigma detection rule writing, validation, and pySigma-based multi-backend conversion (Splunk, Elastic, Wazuh, Kibana) via 3 MCP tools and 3 Claude Code skills, backed by a 61-rule production corpus across 11 MITRE ATT\&CK tactic categories.
    3
    2
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    An MCP server that exposes a 60+ tool security and threat-intel stack to AI agents, enabling secret scanning, Sigma rule generation, ransomware lookup, OSINT, and deep research.
    1
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Real security scanners for AI coding agents — SAST (441 rules), secret detection (419+ patterns), dependency CVEs (OSV.dev), MCP/skill vetting, MITRE ATT&CK. Open-source, Rust, free
    7 npm
    Apache 2.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    MCP server exposing rlg (RustLogs) log files as tools for on-call / SRE agent workflows. Three tools over JSON-RPC stdio — tail_log (last N events, filtered by level/target), filter_log (predicate filtering), summarize_errors (grouped error taxonomy). Pure Rust. MIT OR Apache-2.0.
    3
    6
    Apache 2.0

TDQS

A4.1/5.0

Scored across 15 tools

Disambiguation4/5

Most tools have clearly distinct roles, but there is a cluster of YAML-consuming validation tools (parse_rule, validate_rules, lint_rules, fix_rules) whose boundaries require careful reading of descriptions to distinguish parse-only vs parse+compile vs spec-lint vs auto-fix. Similarly list_builtin_pipelines vs resolve_pipeline and convert_rules vs reverse_convert are related but description text keeps them separable.

Naming Consistency5/5

All 15 tools follow a consistent snake_case verb_noun convention (author_ads, parse_rule, convert_rules, evaluate_events, fix_rules, lint_rules). Even the multi-word names (reverse_convert, resolve_pipeline, list_builtin_pipelines) keep the same structure, making the set highly predictable.

Tool Count5/5

15 tools is well-scoped for a comprehensive Sigma rule analysis suite, covering parsing, validation, linting, fixing, conversion, evaluation, tuning, and introspection. Each tool maps to a distinct stage of the rule lifecycle and none appears redundant.

Completeness4/5

The surface covers a full rule lifecycle: author scaffold (author_ads), parse, validate, lint, fix, convert both directions, evaluate, tune, and field/pipeline/backend introspection. A minor gap is the absence of a general rule-creation or template-scaffolding tool beyond the ADS-specific and reverse-convert paths.

Maintenance

ActivityActive
ResponsivenessResponsive