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Domain intelligence CLI and MCP server — tech stack, email security, and signal intelligence from DNS.

Project description

recon

Passive domain intelligence from public DNS and Microsoft/Google endpoints.

recon northwindtraders.com
╭──────────────────────── Northwind Traders ───────────────────────╮
│                                                                  │
│  Company:    Northwind Traders                                   │
│  Domain:     northwindtraders.onmicrosoft.com                    │
│  Provider:   Microsoft 365                                       │
│  Tenant ID:  a1b2c3d4-e5f6-7890-abcd-ef1234567890                │
│  Region:     NA                                                  │
│  Auth:       Federated                                           │
│  Confidence: ●●● High (3 sources)                                │
│  Services:   Anthropic (Claude), Atlassian (Jira/Confluence),    │
│              DocuSign, Exchange Autodiscover, Figma,             │
│              Intune / MDM, KnowBe4, Microsoft 365,               │
│              Microsoft Teams, Miro, Salesforce, Slack, Zendesk   │
│                                                                  │
│  Insights:   Federated identity indicators observed (likely Okta)│
│              Email security 4/5 strong (DMARC reject, DKIM,      │
│              SPF strict)                                         │
│              Email gateway: Proofpoint in front of Exchange      │
│              M365 E3/E5 indicators (Intune + federated auth)     │
│              Security stack: KnowBe4 (training), Okta (identity) │
│              AI Adoption: anthropic                              │
│              Modern Collaboration: slack, miro, atlassian, figma │
│                                                                  │
│  Related:    northwind-internal.com                              │
│                                                                  │
╰──────────────────────────────────────────────────────────────────╯

The example above is fictional. All tenant IDs, domains, and service lists are fabricated for illustration.

Give it a domain. It queries public endpoints and DNS records — no credentials, no API keys — and returns what it can find: tenant details, email security posture, SaaS fingerprints, derived signals, certificate intelligence, and neutral posture observations.

Works for Microsoft 365, Google Workspace, or any provider. Useful for anyone who needs domain intelligence — architects, MSPs, security professionals, red teamers, defenders, sales engineers, researchers. Also runs as an MCP server for AI tools.

Why recon?

recon dig / nslookup whatweb dnsrecon cloud_enum Paid tools
Zero credentials
M365 tenant detection partial varies
Google Workspace detection varies
Email security scoring varies
SaaS fingerprinting (187) partial
Signal intelligence
Certificate intelligence varies
Posture analysis
Delta / change detection
Recursive domain chaining partial varies
MCP server for AI agents
Extensible (custom YAML)

recon reads the organizational metadata layer — DNS records, identity endpoints, and certificate transparency logs that companies publish to make their email, SaaS, and security infrastructure work. It doesn't scrape websites, probe servers, or analyze page content. It turns infrastructure signals into business intelligence.

Install

Requires Python 3.10+.

pip install recon-tool                    # from PyPI
pip install -e .                          # or from source
recon doctor                              # verify connectivity

Usage

recon northwindtraders.com                # default panel output
recon northwindtraders.com --json         # structured JSON
recon northwindtraders.com --md           # markdown report
recon northwindtraders.com --html         # self-contained HTML report
recon northwindtraders.com --full         # everything (services + domains + posture)
recon northwindtraders.com --services     # M365 vs GWS vs tech stack split
recon northwindtraders.com --posture      # neutral posture observations
recon northwindtraders.com --compare prev.json  # delta: what changed since last run
recon northwindtraders.com --chain --depth 2    # recursive domain discovery
recon northwindtraders.com --no-cache     # bypass disk cache
recon batch domains.txt --json            # batch mode (default 5 concurrent)
recon batch domains.txt --csv             # batch CSV for spreadsheets
recon batch domains.txt --json -c 10      # batch with 10 concurrent
recon doctor                              # connectivity check
recon doctor --fix                        # scaffold custom config templates
recon mcp                                 # start MCP server (stdio)

Input is normalized automatically — URLs, schemes, www. prefixes, paths, and whitespace are all stripped.

What You Get

Signal Source
Company name, tenant ID, auth type Microsoft OIDC + GetUserRealm
Google Workspace auth type, modules, corporate identity Google login flow + CNAME probing + BIMI VMC
Email provider MX records
Email security score (0–5) DMARC + DKIM + SPF + MTA-STS + BIMI
187 SaaS services TXT, SPF, MX, CNAME, NS, CAA, SRV, DKIM selectors
Email gateway / SASE / security stack DNS fingerprints
Signal intelligence (29 signals) Metadata-aware YAML rules with cross-reference conditions
Certificate intelligence crt.sh metadata: issuance velocity, issuer diversity, cert age
Posture observations Neutral factual analysis across email, identity, infrastructure
Related domains CNAME breadcrumbs + certificate transparency (crt.sh)
Delta / change detection Compare current vs. previous JSON export
Evidence traceability Per-detection source records with dual confidence scoring

All from public sources. Zero authentication. Results vary by domain.

MCP Server

recon runs as an MCP server for Claude, Cursor, VS Code, Kiro, ChatGPT, or any MCP client:

{
  "mcpServers": {
    "recon": {
      "command": "recon",
      "args": ["mcp"],
      "autoApprove": ["lookup_tenant", "analyze_posture"]
    }
  }
}

Then ask your AI: "Run a recon lookup on northwindtraders.com and analyze the posture."

Available MCP tools: lookup_tenant, analyze_posture, chain_lookup, reload_data.

See docs/mcp.md for setup details, available tools, and config file locations per client.

Documentation

Doc Contents
Fingerprints Detection types, custom fingerprints, email security scoring, related domain enrichment
Signals 4-layer signal intelligence, 29 signal rules, metadata conditions, custom signals
MCP Server AI agent integration setup, tools, config locations
Roadmap What's planned, what's not, and why
Legal Disclaimer, accuracy, fictional examples, third-party notice
Contributing How to add fingerprints, signals, and code
Changelog Version history

Development

pip install -e ".[dev]"
pytest tests/                          # 597 tests
ruff check recon_tool/                 # lint
pyright recon_tool/                    # type check

License

MIT — see LICENSE for details.

This tool queries only public DNS records and unauthenticated endpoints. See docs/legal.md for full disclaimer.

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