wrg-mcp-server

wrg-mcp-server

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Give your AI agent direct access to a 60+ tool security & threat-intel stack via MCP — secret scanning, sigma rule generation, ransomware lookup, OSINT, deep research, and more.

An MCP (Model Context Protocol) bridge that exposes the WinstonRedGuard AI security platform to Claude Code, Claude Desktop, Cursor, Codex, and any MCP-compatible AI agent.

Why this exists

Modern AI coding agents (Claude, Cursor, Codex) excel at code generation but cannot directly:

• Scan a repo for leaked secrets, credentials, or PII patterns
• Look up ransomware groups, victims, and infrastructure by name
• Generate Sigma detection rules from observed incident data
• Run OSINT username probes across 3000+ sites
• Query a curated threat-intel actor corpus with MITRE ATT&CK mappings

This MCP server fills that gap. Drop it into your MCP client config and your agent gains 60+ tools spanning code security, threat intelligence, OSINT, research, and signal analysis — all without leaving the agent's context.

Use cases

• Secure-by-default coding workflows — agent runs devguard_scan before every commit, catches API keys + PII patterns before they ship
• Threat-intel queries during incident response — "What's the latest LockBit infrastructure?" → agent calls ransomware_lookup + darkweb_brand_watch directly
• Detection engineering with AI assistance — ai_fingerprint_sigma_emit converts observed AI-generated code patterns into Sigma YAML rules
• OSINT investigations — maigret_search username probe across 3000+ sites; results flow back into the agent's reasoning context
• Research automation — research_motor HTTP API gives the agent persistent, queryable research jobs across domains

Quick start

pip install wrg-mcp-server                 # core: 40+ local tools
pip install "wrg-mcp-server[remote]"       # adds httpx for site_* / pulseboard_* tools

Add to your Claude Code / Claude Desktop config:

{
  "mcpServers": {
    "wrg": {
      "command": "wrg-mcp-server",
      "args": ["--transport", "stdio"],
      "env": {
        "WRG_MCP_ALLOW_MUTATIONS": "0"
      }
    }
  }
}

Restart your client. The agent now has access to mcp__wrg__* tools.

How it compares

Project	Surface	Tool count	Auth required	Best for
wrg-mcp-server	Security + threat-intel + OSINT + research	60+	Optional env per remote	Security/detection/threat-intel engineers + AI agents
github-mcp-server	GitHub API	~30	Required (PAT)	General GitHub workflow automation
Filesystem MCP	Local fs	~10	None	Generic file operations
Playwright MCP	Browser automation	~20	None	Web scraping + UI testing
Fetch MCP	HTTP fetch	~5	None	Simple URL → markdown extraction

When to reach for wrg-mcp-server

• You're a security engineer, detection engineer, or threat-intel analyst working with AI agents
• You want curated threat-intel + OSINT in your agent without manual tool-juggling
• You have (or can install) the WinstonRedGuard monorepo for the full feature set

Where wrg-mcp-server loses today (honest delta)

• Setup friction higher than generic MCP servers — full feature set requires the WinstonRedGuard monorepo (private). Standalone install (no monorepo) gives ~40% of tools (OSINT + research + trading + polymarket all work without monorepo)
• Windows-first — primary dev environment is Windows 11 + WSL2; macOS/Linux supported but less battle-tested
• Documentation density — 60+ tools is a lot; in-depth per-tool docs live in source comments rather than separate pages
• Newer than alternatives — github-mcp-server, Filesystem, Playwright MCP all have larger communities and more battle-testing

Transports

wrg-mcp-server --transport stdio              # Claude Desktop / Claude Code (recommended)
wrg-mcp-server --transport streamable-http    # HTTP for remote clients
wrg-mcp-server --transport sse                # legacy HTTP (SSE)

Flags: --host 0.0.0.0 · --port 8080 · --mcp-path /mcp

Install (full options)

pip install wrg-mcp-server                 # core: MCP + local tools only
pip install "wrg-mcp-server[remote]"       # adds httpx for site_* / pulseboard_* tools
pip install "wrg-mcp-server[dev]"          # pytest + pytest-asyncio

From source (standalone repo):

git clone https://github.com/WRG-11/wrg-mcp-server.git
cd wrg-mcp-server
pip install -e ".[dev]"

Note: [threat-intel] extras were removed in v1.0.4 (PyPI rejects direct file:// deps). Sister wrg_threat_intel + ransom_radar stay in the WRG monorepo for now; will re-add this extras group once they publish to PyPI.

Tool surface

60+ tools organised across 8 categories. Detailed tables below — expand a section to view.

Local tools (subprocess-backed; always available regardless of remote config)

Core monorepo introspection

Tool	What it does
connector_status	Report which remote services are configured
app_list, app_info	Query app_registry/data/registry.json
governance_run	Execute governance_check across one or all apps
release_check	Run the tools/release_check.ps1 gate
pipeline_list, pipeline_show, pipeline_run	wrg_pipeline DAG operations
pulse_check	Invoke wrg-pulse check
memory_get, memory_set, memory_list, memory_search	wrg_memory key-value access
vault_audit	wrg_vault audit ledger inspection
scheduler_task_list, scheduler_tick_dry_run	wrg_scheduler inspection

Research

Tool	What it does
research_history, research_report, research_scan, research_watch, research_scan_summary	research_motor runs and artifacts
research_motor_healthz, research_motor_scan_create, research_motor_scan_get	research_motor HTTP API v1 over localhost

Silo-app expansion (6 apps × 2 tools)

AI fingerprint (wrg_ai_fingerprint)

Tool	What it does
ai_fingerprint_scan	Scan a path for AI-generated code signals; supports min_score, exclude[]
ai_fingerprint_detectors	List registered detectors and their weights
ai_fingerprint_sigma_emit	Convert fingerprint scan JSON into Sigma YAML rules

DevGuard (wrg_devguard)

Tool	What it does
devguard_scan	Run policy / secrets / crypto scans on a path; empty scan_types runs combined check
devguard_baseline	List configured policy profiles (baseline + strict) and presence

Security suite (wrg_security_suite) — security_suite_run is mutation-gated

Tool	What it does
security_suite_run	Run code / person / network / full scan (mutation — requires WRG_MCP_ALLOW_MUTATIONS=1)
security_suite_report	Read a scan report by scan_id (read-only)

Rule lab (rule_lab)

Tool	What it does
rule_lab_test	Simulate a rule set against sample contexts
rule_lab_list	List rule files under $WRG_RULE_LAB_DIR or <repo>/.wrg/rules

Data janitor (data_janitor) — data_janitor_sweep mutation-gated when dry_run=False

Tool	What it does
data_janitor_sweep	Scan or clean build artifacts (non-dry requires WRG_MCP_ALLOW_MUTATIONS=1)
data_janitor_orphans	Preview orphan / build-artifact targets (read-only)

Notifier (wrg_notifier3) — notifier_send is mutation-gated

Tool	What it does
notifier_send	Dispatch a message to a configured channel (mutation — requires WRG_MCP_ALLOW_MUTATIONS=1)
notifier_channels	Introspect available channel adapters (read-only)

INFO_OPS extension

Tool	What it does
info_ops_detect	Query INFO_OPS actor corpus; enrich each match with linked incidents + Sigma rules; reverse-lookup via mitre_technique filter

Example:

info_ops_detect()  # all INFO_OPS actors + Sigma + incidents
info_ops_detect(actor_id="russia_nexus_info_ops")  # specific actor
info_ops_detect(mitre_technique="T1656")  # reverse lookup

OSINT + threat-intel (mostly standalone — works without WRG monorepo)

OSINT

Tool	What it does
maigret_search	Username search across 3000+ sites (Maigret)

Threat-intel (opt-in via [threat-intel] extra)

Tool	What it does
attack_surface_passive	Passive attack surface reconnaissance
ransomware_lookup	Ransomware group/victim lookup
darkweb_brand_watch	Dark web brand mention monitoring

Ransom-radar

Tool	What it does
ransom_radar_tick	Run a ransom-radar feed tick
ransom_radar_status	Check ransom-radar watchlist status

Arastirma Ussu (knowledge-base RAG; opt-in via env)

Tool	What it does
arastirma_ask	Ask a question to the Arastirma Ussu knowledge base
arastirma_doc_search	Search documents in the knowledge base
arastirma_web_search	Web search through Arastirma Ussu
arastirma_memory_search	Search memory entries

Trading + signals (opt-in via env; works without WRG monorepo)

Tool	What it does
trading_analyze	Full multi-agent trading analysis for a ticker
trading_quick_signal	Fast RSI/price signal for a ticker
polymarket_event_signal	Polymarket event signal analysis
research_deep	Deep research with AI research platform

Remote HTTP services (opt-in via env; requires [remote] extra)

Tool	Upstream
site_health, site_get, site_post	Company site API (WRG_SITE_BASE_URL)
pulseboard_health, pulseboard_list_repos, pulseboard_add_repo, pulseboard_delete_repo, pulseboard_get_pulse	pulseboard dashboard (WRG_PULSEBOARD_BASE_URL)

Remote tools return {"ok": false, "error": "httpx not installed — remote tools unavailable"} when [remote] extra is missing.

Environment

Repo discovery

Variable	Default	Purpose
WRG_REPO_ROOT	auto-detect (walk up until apps/ + CLAUDE.md)	Required when installed from wheel outside the monorepo

Mutation gate (default: off)

State-changing tools (memory_set, pipeline_run, security_suite_run, data_janitor_sweep non-dry, notifier_send) refuse to execute unless:

WRG_MCP_ALLOW_MUTATIONS=1

This prevents an MCP client from silently writing memory or launching pipelines on a read-only connection.

Remote service config

Per service (SITE / PULSEBOARD), prefix with WRG_<SERVICE>_:

Variable	Default	Purpose
*_BASE_URL	—	Enables the service (unset = service disabled)
*_TOKEN	—	Bearer token for Authorization header
*_AUTH_HEADER	Authorization	Override header name
*_AUTH_SCHEME	Bearer	Override token scheme
*_SESSION_COOKIE	—	Optional Cookie header
*_EXTRA_HEADERS	—	JSON object of extra headers
*_TIMEOUT_SECONDS	WRG_HTTP_TIMEOUT_SECONDS (20.0)	Per-request timeout
*_VERIFY_TLS	WRG_HTTP_VERIFY_TLS (true)	TLS verification

research_motor HTTP API

Start the research_motor API separately, then point the MCP server at it:

cd apps/research_motor
pip install -e ".[api]"
set RESEARCH_MOTOR_API_KEY=replace-me
research-motor serve --host 127.0.0.1 --port 8080

Configure the MCP server environment:

set WRG_RM_API_BASE_URL=http://127.0.0.1:8080
set WRG_RM_API_KEY=replace-me

Architecture

FastMCP server
├── server.py            — tool registration, remote HTTP dispatch
├── config.py            — ServiceConfig / AppConfig from env (frozen dataclasses)
├── http_utils.py        — URL builder, response parser
├── local_tools.py       — subprocess wrappers for WRG CLIs (~20 tools)
└── cli.py               — argparse entry point

Local tools use subprocess.run with stdin=DEVNULL (not asyncio subprocess) — avoids a Windows pipe-blocking deadlock under anyio. Tool dispatch is wrapped in anyio.to_thread.run_sync so the MCP event loop stays responsive.

Tests

pytest -q

Sister WRG-11 packages

Part of the WRG-11 PyPI portfolio:

• instinct-mcp — Self-learning memory for AI coding agents
• wrg-devguard — Developer-first AI safety: prompt-policy lint + secret scanning + log scanning with PII detection
• wrg-rule-lab — Local-first deterministic rule evaluation engine (zero-dep, stdlib-only)
• ai-security-toolkit — Offensive + defensive AI/LLM security tools, labs, CTF writeups, research

Built by WRG-11.

Status

Production — covers every active WRG app, drives the mcp__wrg__* tools visible in connected Claude sessions.

License

MIT. See LICENSE.