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PQC-Khepra-MCP

KHEPRA MCP Server MCP Registry License Container PQC Sovereign compliance engine with 36,195 STIG/CCI/NIST/CMMC mappings. Air-gappable. Zero token costs. Run ert_scan → get a Godfather Report with dollar-denominated business impact. The only MCP compliance server that runs on your metal — with the World's First DoD PQC STIG built in. PQC-01-STIG-V1R1 — Full Whitepaper → 17 controls covering CNSA 2.0, FIPS 203/204/205, and the NSA's May 2026 MCP security advisory. The world's first DoD-style Post-Quantum Cryptography STIG, including the first PQC controls for agentic AI and MCP deployments. Tiers Tier License Key Tools Telemetry Egress Community ❌ Not required pqc_stig + 12 core tools Opt-in Dark Crypto Intel Zero (sovereign mode) Sovereign ✅ Required All 34 tools Zero Zero Pharaoh ✅ Required All 34 tools + priority support Zero Zero Community tier is free. Run pqc_stig to assess your project's quantum readiness against PQC-01-STIG-V1R1 — the World's First DoD-style Post-Quantum Cryptography STIG — no license key needed. What It Does KHEPRA MCP connects your AI assistant directly to a hardened compliance engine. Ask Claude or any MCP client to scan a system, map findings to STIG/NIST/CMMC controls, and generate an executive-ready risk report — all without sending data to external APIs. Key capabilities: 36,195 STIG/CCI/NIST 800-53/800-171/CMMC mappings (offline, bundled) Post-quantum cryptographic attestation on every tool call (ML-DSA-65 / FIPS 204) World's First DoD PQC STIG — 17 controls covering CNSA 2.0 / FIPS 203/204/205 + agentic AI / MCP (PQC-01-STIG-V1R1) Godfather Report: dollar-denominated business impact per finding (FAIR model) Air-gap and SCIF compatible — sovereign/ironbank modes make zero egress calls Flat annual licensing — no per-token or per-query charges Runs on your metal: on-prem, DoD, IC, classified environments Installation There are two delivery methods: Docker (recommended, no build required) and compiled binary (fastest startup, required for air-gap). Both support the same environment variables and all MCP clients. Choose your path: Method Best For Startup Docker Most users, easiest setup ~2s Compiled Binary Air-gap, SCIF, performance ~300ms Option A: Docker (Recommended) Requires Docker Desktop or Docker Engine. The image is pre-built and ships the full compliance database — no additional downloads in sovereign mode. # Pull once docker pull ghcr.io/nouchix/pqc-khepra-mcp:latest # Test it (should print the initialize response and exit) echo '{"jsonrpc":"2.0","method":"initialize","params":{"protocolVersion":"2025-11-25","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}},"id":0}' \ | docker run --rm -i -e KHEPRA_MODE=sovereign ghcr.io/nouchix/pqc-khepra-mcp:latest Option B: Compiled Binary Requires Go 1.21+ for building, or download a pre-built release from GitHub Releases. git clone https://github.com/nouchix/PQC-Khepra-MCP.git cd PQC-Khepra-MCP # Build (cross-compile for your OS) go build -o khepra-mcp ./cmd/khepra-mcp # Linux / macOS go build -o khepra-mcp.exe ./cmd/khepra-mcp # Windows # Test the binary echo '{"jsonrpc":"2.0","method":"initialize","params":{"protocolVersion":"2025-11-25","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}},"id":0}' \ | KHEPRA_MODE=sovereign ./khepra-mcp Windows — using the batch launcher The repo ships a run-mcp.bat launcher for Windows. It uses the pre-built binary (fast path) and falls back to go run automatically: :: run-mcp.bat is already in the repo at the root of PQC-Khepra-MCP :: Point your MCP client to: cmd /c C:\path\to\PQC-Khepra-MCP\run-mcp.bat Adding to Your AI Client Claude Desktop Config file location: macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json Community tier — Docker (macOS / Linux) { "mcpServers": { "khepra": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "-v", "/var/lib/khepra:/var/lib/khepra", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } } Community tier — Docker (Windows) { "mcpServers": { "khepra": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "-v", "C:\\Users\\YourName\\.khepra:/var/lib/khepra", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } } Community tier — Binary (Windows, fastest startup) { "mcpServers": { "khepra": { "command": "C:\\path\\to\\PQC-Khepra-MCP\\khepra-mcp.exe", "args": [], "env": { "KHEPRA_MODE": "sovereign", "KHEPRA_NETWORK_POLICY": "lan", "MCP_PQC_ENABLED": "true", "KHEPRA_MANIFEST_PATH": "C:\\path\\to\\PQC-Khepra-MCP\\manifest.json" } } } } Community tier — Binary via batch launcher (Windows) { "mcpServers": { "khepra": { "command": "cmd", "args": ["/c", "C:\\path\\to\\PQC-Khepra-MCP\\run-mcp.bat"], "env": { "KHEPRA_MODE": "sovereign", "KHEPRA_NETWORK_POLICY": "lan", "MCP_PQC_ENABLED": "true" } } } } Sovereign / Pharaoh tier (with license key) { "mcpServers": { "khepra": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_LICENSE_KEY", "-e", "KHEPRA_MODE=sovereign", "-v", "/var/lib/khepra:/var/lib/khepra", "-v", "/var/log/khepra:/var/log/khepra", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ], "env": { "KHEPRA_LICENSE_KEY": "YOUR_LICENSE_KEY_HERE" } } } } After editing, restart Claude Desktop. Verify in Settings → Developer — you should see khepra with status running and all tools listed. Cursor Config file: .cursor/mcp.json in your project root, or ~/.cursor/mcp.json globally. Docker (macOS / Linux) { "servers": { "khepra": { "type": "stdio", "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "-v", "/var/lib/khepra:/var/lib/khepra", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } } Binary (macOS / Linux) { "servers": { "khepra": { "type": "stdio", "command": "/path/to/khepra-mcp", "args": [], "env": { "KHEPRA_MODE": "sovereign", "KHEPRA_MANIFEST_PATH": "/path/to/PQC-Khepra-MCP/manifest.json" } } } } Binary (Windows) { "servers": { "khepra": { "type": "stdio", "command": "C:\\path\\to\\PQC-Khepra-MCP\\khepra-mcp.exe", "args": [], "env": { "KHEPRA_MODE": "sovereign", "KHEPRA_MANIFEST_PATH": "C:\\path\\to\\PQC-Khepra-MCP\\manifest.json" } } } } VS Code (with GitHub Copilot or Cline extension) Config file: .vscode/mcp.json in your project, or user settings. { "servers": { "khepra": { "type": "stdio", "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "-v", "${env:HOME}/.khepra:/var/lib/khepra", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } } Or via user settings.json for the Cline extension: { "cline.mcpServers": { "khepra": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } } Windsurf Config file: ~/.codeium/windsurf/mcp_config.json { "mcpServers": { "khepra": { "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "-v", "/var/lib/khepra:/var/lib/khepra", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } } Continue.dev Config file: ~/.continue/config.json — add to the experimental.modelContextProtocolServers array: { "experimental": { "modelContextProtocolServers": [ { "name": "khepra", "transport": { "type": "stdio", "command": "docker", "args": [ "run", "--rm", "-i", "-e", "KHEPRA_MODE=sovereign", "ghcr.io/nouchix/pqc-khepra-mcp:latest" ] } } ] } } Cloud / SaaS AI Tools (Claude.ai, ChatGPT, Gemini, etc.) Cloud-based AI tools cannot directly spawn local subprocesses — they need an HTTP/SSE bridge to reach your local KHEPRA server. There are two approaches: Approach 1 — mcp-remote proxy (easiest, no server required) mcp-remote tunnels a local stdio MCP server over HTTPS, making it accessible to any cloud tool. This is what the Kaggle MCP entry in the config above uses. # Install once npm install -g mcp-remote # Start the bridge (exposes your local KHEPRA server at https://localhost:3000) KHEPRA_MODE=sovereign mcp-remote \ --server "docker run --rm -i -e KHEPRA_MODE=sovereign ghcr.io/nouchix/pqc-khepra-mcp:latest" \ --port 3000 Then in Claude.ai (or any cloud tool that accepts MCP SSE URLs): MCP Server URL: http://localhost:3000/sse Security note: mcp-remote binds to localhost by default. Do not expose it to the public internet without TLS and authentication. In sovereign/ironbank mode, KHEPRA itself makes zero egress calls — only the bridge connection to the cloud tool carries data. Approach 2 — Self-hosted HTTP/SSE endpoint For teams running KHEPRA on a shared server (e.g., Hostinger VPS at IP_ADDRESS), start the server in HTTP mode: # On your server — start KHEPRA in HTTP/SSE mode docker run -d \ -e KHEPRA_MODE=hybrid \ -e KHEPRA_HTTP_PORT=8443 \ -e KHEPRA_LICENSE_KEY="${KHEPRA_LICENSE_KEY}" \ -p 8443:8443 \ ghcr.io/nouchix/pqc-khepra-mcp:latest # Point your cloud tool to: # https://your-server.com:8443/sse Then configure any cloud AI tool that supports MCP SSE: Cloud Tool Where to add MCP URL Claude.ai (Pro/Team) Settings → Integrations → MCP Servers OpenAI Assistants API tools field with type: "mcp" Gemini for Workspace Extensions → Custom MCP (preview) Glama.ai Workspace → MCP Servers Smithery.ai Catalog → Self-hosted server Note: HTTP/SSE mode (hybrid/edge) enables external connections. Always terminate TLS at a reverse proxy (nginx/Caddy) and restrict access by IP or API key. The sovereign mode refuses HTTP connections by design — air-gap integrity is preserved. Approach 3 — Smithery / MCP Registry (Community tier only) KHEPRA is listed on Smithery.ai and the MCP Registry. Cloud tools that support registry-based discovery can install it directly: Registry ID: io.github.nouchix/pqc-khepra-mcp This runs the Community tier via Smithery's managed infrastructure. For sovereign deployment (air-gap, your data stays on your metal), use Options A or B above. Validation — Test Your Installation Run this from your terminal to verify the server responds correctly: # Docker echo '{"jsonrpc":"2.0","method":"tools/list","params":{},"id":1}' \ | docker run --rm -i -e KHEPRA_MODE=sovereign ghcr.io/nouchix/pqc-khepra-mcp:latest # Binary (Linux / macOS) echo '{"jsonrpc":"2.0","method":"tools/list","params":{},"id":1}' \ | KHEPRA_MODE=sovereign ./khepra-mcp # Binary (Windows PowerShell) '{"jsonrpc":"2.0","method":"tools/list","params":{},"id":1}' \ | & ".\khepra-mcp.exe" Expected output: a JSON-RPC response listing all available tools. If you see "tools": [...] with 12+ entries — you're connected. Full protocol validation (Windows) # Runs the complete Claude Desktop handshake sequence and validates all responses .\scripts\test-mcp-handshake.ps1 -BinaryPath ".\khepra-mcp.exe" # Expected output: # [PASS] initialize | protocolVersion=2025-11-25 | listChanged=False # [PASS] tools/list | count=34 # TRL-10 READY - Server passes full Claude Desktop protocol validation MCP Tools Community Tier (Free — No License Key) pqc_stig — World's First DoD PQC STIG ⭐ Assesses a source code directory against PQC-01-STIG-V1R1: 12 controls covering CNSA 2.0 algorithm approval, ML-DSA-65 key strength, ML-KEM-768 encapsulation, hybrid cryptography, key storage, constant-time implementation, and certificate chain requirements. pqc_stig(scan_path?: string, profile?: "quick" | "full" | "executive") Example: "Run pqc_stig on my project and tell me if I'm CNSA 2.0 compliant" nist_map Map CCI identifiers or STIG findings to NIST 800-53 Rev 5 controls. khepra_query_stig Query the 36,195-row STIG/CCI/NIST/CMMC compliance database by control ID. dark_crypto_contribute (opt-in) Contribute anonymized cryptographic algorithm telemetry to the SouHimBou AI Dark Crypto Intelligence Network. No PII. Opt-in only — never fires without explicit invocation. Sovereign / Pharaoh Tier ert_scan Enterprise Risk & Threat scan across STIG, NIST 800-53, NIST 800-171, CMMC, and FedRAMP. Returns Godfather Report with dollar-denominated business impact. ert_scan(target: string, frameworks?: string[], output_format?: "godfather" | "json" | "csv") Example: "Run ert_scan on /etc and generate a Godfather Report" stig_check Automated RHEL-09-STIG-V1R3 compliance scan against a live system or configuration path. cmmc_assess Full CMMC Level 1, 2, or 3 assessment with gap analysis and POA&M generation. godfather_report Generate an executive Godfather Report from prior scan results: top 10 findings ranked by dollar exposure, remediation ROI, and FAIR model business impact. + 20 additional tools agent_record, dag_attestation, flight_export, khepra_get_dag_chain, nhi_inventory, acp_status, owasp_agent_assess, khepra_export_attestation, khepra_export_poam, khepra_get_compliance_score, ert_crypto, ert_readiness, stig_benchmark, ir_analysis, vuln_hunter, sbom_generate, threat_model, khepra_query_threat_intel, discover_assets, and more. The Godfather Report Unlike compliance scanners that output a wall of CVEs, KHEPRA translates findings into the language executives care about: Finding: RHEL-09-212030 — No FIPS-validated crypto on /etc/ssh Severity: CAT I (HIGH) Business Impact: $2.4M estimated breach exposure (FAIR model) Remediation Cost: $800 (4 hours engineer time) ROI: 3,000x Every finding includes control ID, framework mapping, business impact in dollars, remediation cost estimate, and ROI. Deployment Modes Mode Air-Gap Egress Telemetry Use Case sovereign ✅ Yes Zero Zero On-prem, SCIF, classified (DEFAULT) ironbank ✅ Yes Zero Zero DoD/IC production, FIPS-only hybrid ❌ No LAN Zero Edge + cloud coordination edge ❌ No Unrestricted Zero Fully stateless SaaS Set via KHEPRA_MODE environment variable. Unknown values are rejected at startup and fall back to sovereign (fail-closed). Environment Variables Variable Required Default Description KHEPRA_LICENSE_KEY Sovereign/Pharaoh only — License key. Community tier runs without one. Get at nouchix.com KHEPRA_MODE No sovereign Deployment mode: sovereign, ironbank, hybrid, edge KHEPRA_MANIFEST_PATH No manifest.json Path to signed tool manifest file KHEPRA_HOME No /var/lib/khepra Data and compliance DB directory KHEPRA_LOG_DIR No /var/log/khepra Log directory KHEPRA_DAG_PATH No ~/.khepra/dag DAG audit chain storage path KHEPRA_AUDIT_LOG_PATH No ~/.khepra/audit.ndjson Signed audit log path KHEPRA_MAX_CONCURRENT No 5 Max concurrent tool calls per agent KHEPRA_NETWORK_POLICY No lan Network scope: lan, none, unrestricted MCP_PQC_ENABLED No true Enable ML-DSA-65 PQC attestation on all responses Air-Gap & SCIF Deployment KHEPRA makes zero external network calls in sovereign and ironbank modes: License validated offline via ML-DSA-65 signed license.adinkhepra file Compliance databases (36,195 mappings) bundled in container — no external downloads No telemetry, no heartbeat, no egress — verified at the transport layer # Transfer image to air-gapped network docker save ghcr.io/nouchix/pqc-khepra-mcp:latest | gzip > khepra-mcp.tar.gz # On air-gapped host: docker load < khepra-mcp.tar.gz Note on telemetry: The dark_crypto_contribute tool (Community tier) sends anonymized cryptographic algorithm telemetry to the SouHimBou AI intelligence network only when explicitly invoked by the user. It is never triggered automatically. In sovereign/ironbank mode, all network calls are blocked at the transport layer regardless. Compliance Coverage Framework Version Mappings STIG (RHEL 9) V1R3 Automated scanning NIST 800-53 Rev 5 2,120 CCIs NIST 800-171 Rev 2 320 controls CMMC Level 3 Full practice set FedRAMP High Baseline scanning PQC-01-STIG-V1R1 V1R1 17 PQC controls (CNSA 2.0) Total 36,195+ mappings Licensing Flat annual licensing — no per-token or per-query charges. Tier Cost License Key Tools Community Free Not required pqc_stig + 12 core tools Sovereign Annual flat fee Required All 34 tools, air-gap, on-prem Pharaoh Annual flat fee Required All 34 tools + priority support + SLA Community tier is permanently free — contribute to open-source PQC adoption Sovereign/Pharaoh: contact contact@nouchix.com or visit nouchix.com Security Reporting Vulnerabilities Do not open public issues for security vulnerabilities. Report privately via GitHub Security Advisories or email support@nouchix.com. SLA Target Acknowledgement 24 hours Initial assessment 5 business days Patch / mitigation (Critical) 30 days We accept encrypted reports via PGP (keys/security_contact.asc) and Post-Quantum channels (Dilithium / ML-DSA-65 keys in keys/). See SECURITY.md for the full disclosure policy and ASAF event taxonomy. Security Posture Deploying advanced post-quantum cryptography, air-gapped isolation, and comprehensive STIG mappings — built in direct alignment with NSA & ASD Model Context Protocol guidelines. NSA & ASD MCP Security Alignment The NSA and Australian Signals Directorate (ASD) have published specific threat vectors for AI systems interacting with local environments. KHEPRA MCP is explicitly designed to mitigate every identified vector: NSA/ASD Requirement KHEPRA Implementation Cryptographic validation of tool responses ML-DSA-65 (Dilithium) signatures on all JSON-RPC 2.0 payloads Input validation & sanitization Parameter injection resistance via strict JSON Schema validation Principle of least privilege credentials Short-lived ephemeral tokens tied to specific task execution windows Comprehensive audit logging Tamper-evident events compiled into an immutable DAG structure Resource consumption limits Rate limiting + backpressure for LLM request loops Authorization gates for sensitive actions Human-in-the-loop gate for destructive state changes Environment isolation Containerized execution with zero-egress sovereign mode Software supply chain integrity Manifest pinning for all loaded tools and dependencies Network exposure reduction Air-gappable — zero internet transit in sovereign/ironbank modes Post-quantum resilience PQC-signed DAG trail protecting against harvest-now-decrypt-later Compliance Certifications Framework Status Coverage CMMC Level 2 ✅ Automates evidence collection for AU, CM, SI, SC domains NIST SP 800-171 Rev 2 ✅ Logging, accountability, system integrity NIST SP 800-53 Rev 5 ✅ Continuous monitoring (AU-2, SI-4) FIPS 203 (ML-KEM) ✅ Key encapsulation for secure transit FIPS 204 (ML-DSA) ✅ Digital signatures for payload authentication NSM-10 PQC Mandate ✅ National Security Memorandum 10 compliance DFARS 252.204-7012 ✅ Immutable forensic trails for cyber incident reporting NSA MCP Security Guidelines ✅ Direct mapping to all published AI agent threat mitigations Live Deployment — Physical Edge Running continuously on constrained edge hardware since May 12, 2026 to prove efficiency in sovereign environments: Hardware: Raspberry Pi 2 · 1 GB RAM · 900 MHz ARM · Live Spectrum Router SCADA Pod: STM32U585 / QRB2210 · Modbus TCP · MQTT · Zephyr RTOS 3.4+ · Live Dilithium Signature Verification Controls active: 3 open ports secured · 12 STIG violations detected · 100% file integrity monitoring (AIDE) · 24/7 continuous operation Academic Validation Event Date Institution UAlbany AI Plus Symposium 2026 — "KHEPRA Protocol: Quantum-Resilient Agentic AI Security Using Cultural Cryptography" March 7, 2026 NSA CAE-CDE Institution · 200+ audience SUNY Albany Cybersecurity Showcase — First PQC key ceremony on STM32-class device (SCADA Pod) May 12–13, 2026 Live demo · SCADA architecture poster USPTO Provisional Patent #73565085 — pending. 🔒 Iron Bank containers in DISA vetting process. About NouchiX Veteran-led advisory firm translating CMMC, NIST, and STIG mandates into executive roadmaps. Sales / General: contact@nouchix.com Support: support@nouchix.com Website: https://nouchix.com Phone: (518) 304-4450 Developed by SecRed Knowledge Inc. dba NouchiX, Albany, NY.

该来源不提供完整文件导出(国内平台多为平台内托管),仅存元数据与原链
模型生成摘要(rules/v1 · 2026-09-27 16:29):KHEPRA MCP Server
这是模型对公开材料的总结,不是官方声明,请以原链内容为准。

接入信息

传输形态
http
鉴权方式
鉴权未知
端点
https://pqc-khepra-mcp--skone.run.tools
鉴权方式未标注,请核对官方文档后再接入——不要直接使用以下片段
{
  "mcpServers": {
    "PQC-Khepra-MCP": {
      "url": "https://pqc-khepra-mcp--skone.run.tools"
    }
  }
}

能力清单

工具说明
threat_modelGenerate a STRIDE threat model with NIST 800-53 + MITRE ATT&CK mappings. 100% offline.
packet_analyzeAnalyze a PCAP capture file. Extracts: protocol distribution, suspicious connections, DNS queries, HTTP methods, potential C2 patterns.
khepra_export_attestationExport PQC-signed attestation package covering all active compliance frameworks. C3PAO-ready evidence artifact — ML-DSA-65 signed, DAG-anchored.
vuln_scanScan project for known vulnerabilities in dependencies (Go, NPM, Python). Returns CVE IDs, CVSS scores, affected packages, and fix versions.
container_scanAnalyze Dockerfile and container manifests for security misconfigurations and base image vulnerabilities.
khepra_query_threat_intelQuery embedded CISA KEV + CVE threat intelligence from offline database. Returns relevant CVEs, EPSS scores, MITRE ATT&CK mappings.
godfather_approveDeliver a staged Godfather Report. Requires the staged_token returned by godfather_report. Single-use — token is consumed on delivery.
kasa_statusCheck current status of the KASA autonomous agent: uptime, active tasks, threat score, and EA kernel generation.
flight_recordRecord an agent tool call to the SouHimBou AI Flight Recorder with cryptographic attestation. Creates a cryptographically verifiable audit trail.
drbc_restoreRestore the KHEPRA project from a DRBC genesis backup. Requires the same password used during backup.
nhi_revokeRevoke a non-human identity credential
ert_scanRun ERT security scan (SBOM, CVE, secrets, STIG, PQC inventory) in Docker sandbox
ert_godfatherPackage D: EA KernelRouter causal risk attestation. Runs STIG, PQC, SBOM, Network agents in parallel, produces board-level causal chain with CVSS-band dollar impact and DAG-signed evidence node.
enumerate_hostEnumerate host information: OS, kernel, network interfaces, running services, users, installed packages. MITRE ATT&CK T1082.
compliance_scanRun built-in compliance checks against CIS, STIG, and NIST baselines. Returns pass/fail per control with remediation guidance.
identity_epiphanyDecode a Nkyinkyim-shrouded strand back to plaintext. Reveals the original identity.
godfather_reportGenerate a complete CMMC/STIG/NIST compliance report. When approval_required=true, returns a staged token — the full report is held until a human calls godfather_approve (30-min TTL).
khepra_get_compliance_scoreFast compliance score without full scan. Returns current CMMC/NIST/STIG satisfaction percentages from cached DAG state.
ouroboros_stig_eyeOuroboros STIG Eye — continuous STIG compliance monitoring status. Returns current compliance posture and drift alerts.
fingerprint_deviceFingerprint a network device: OS detection, service banners, protocol analysis. MITRE ATT&CK T1046.
phantom_stealthEngage Phantom Network stealth mode. GPS spoofing, thermal camouflage, ephemeral IMSI, spread spectrum pattern. Symbol: Eban (fortress).
identity_shroudEncode a strand (identity token, API key, agent fingerprint) using Nkyinkyim mystery encoding for OPSEC identity protection.
acp_statusList active ACP credentials and their expiry status
nhi_excessiveIdentify NHIs with overly broad permissions
stig_checkCheck a system path or configuration against STIG controls. Default: RHEL-09-STIG-V1R3. Returns CAT I/II/III findings with remediation guidance and compliance score.
owasp_agent_assessAssess this MCP server deployment against OWASP Agentic Top 10 (ASI01-ASI10). Returns scored findings, active controls, gaps, and ML-DSA-65 signed evidence.
ouroboros_fim_eyeOuroboros FIM Eye — file integrity monitoring status. Returns hash baseline comparison and drift alerts.
forensic_snapshotCollect a DFIR-grade forensic snapshot: processes, network connections, loaded modules, environment variables. ML-DSA-65 signed, DAG-attested.
pqc_verifyVerify an ML-DSA-65 signature against data. Returns verification result and signer metadata.
acp_issueIssue a new PQC credential via the Agent Control Plane
pqc_stigWorld's First DoD PQC STIG (PQC-01-STIG-V1R1). CNSA 2.0 / FIPS 203/204/205 compliance assessment. Returns per-control findings, compliance score, and ML-DSA-65 signed evidence.
khepra_get_dag_chainExport the PQC-signed DAG chain for the current session. Returns all DAG nodes with ML-DSA-65 signatures and Adinkra symbol provenance.
sbom_generateGenerate a CycloneDX / SPDX SBOM with PQC readiness annotations.
ir_add_iocAdd an Indicator of Compromise to an existing incident. The IOC is ML-DSA-65 signed and DAG-recorded.
ouroboros_waf_eyeOuroboros WAF Eye — real-time web application firewall status from the Mitochondrial API Server. Returns blocked requests, threat patterns, and active rules.
audit_dag_integrityFull integrity audit of the KASA DAG. Verifies: node count, parent linkage, PQC metadata completeness, and signature chain.
acp_revokeRevoke an active ACP credential
nhi_orphansIdentify orphaned non-human identities with no active owner
ert_architectPackage B: Live supply chain risk — Syft SBOM + Grype CVE + CISA KEV/EPSS/MITRE enrichment. Returns findings with NIST 800-171 control mapping.
dark_crypto_contributePrivacy-preserving contribution of anonymized crypto inventory to the Dark Crypto Intelligence Network. Returns global quantum exposure rank.
secret_scanScan for hardcoded secrets using entropy analysis + pattern matching. Detects: AWS keys, GitHub tokens, private keys, JWT secrets, database passwords.
pqc_keygenGenerate a new ML-DSA-65 keypair for agent identity. Returns public key (base64) and key ID. Private key is stored securely.
drbc_backupCreate a DRBC genesis backup of the KHEPRA project. AES-256-GCM encrypted, ML-DSA-65 signed.
nhi_inventoryList all non-human identities (service accounts, API keys, certificates)
ert_readinessPackage A: NIST 800-171 Rev2 compliance assessment + live SCA risk factor. Returns alignment score (0-100), control gaps, and prioritized remediation roadmap.
khepra_query_stigQuery the embedded STIG/CCI/NIST control database (36,195 mappings). Look up STIG rules, CCI items, NIST 800-53 controls by ID or keyword.
quantum_optimizeRun Ising model quantum-inspired optimization for attack surface analysis. Simulates quantum annealing to find optimal defense configuration.
ir_incidentCreate a new incident in the KHEPRA IR Manager. Every incident is ML-DSA-65 signed at creation and DAG-attested.
pqc_signSign arbitrary data with ML-DSA-65. Returns base64-encoded signature and public key ID. Air-gap safe.
dag_writeWrite a manually-specified attested node to the shared KASA DAG. Use for arbitrary compliance events, human approvals, and audit points.
dag_auditPerform a full integrity audit of the KASA DAG. Verifies node count, parent linkage, PQC metadata completeness.
discover_assetsInventory environment: OS, runtimes, containers, CI/CD, AI agents, crypto libs, MCP configs. Recommends CMMC level and applicable STIG profiles.
kasa_startStart the KASA autonomous security agent. Launches: vulnerability hunting hourly, internal pentest daily (NIST 800-53 CA-8), CMMC compliance audit daily. Every action is DAG-attested.
threat_lookupLook up a CVE, IP, or domain against embedded CISA KEV + MITRE ATT&CK databases. Returns CVE details, CVSS/EPSS scores, ATT&CK TTP mapping.
ert_cryptoPackage C: PQC readiness attestation — source-level crypto primitive scan, SBOM crypto library inventory, weak primitive detection (MD5/SHA1/DES/RC4), CNSA 2.0 quantum risk context.
nist_mapOffline semantic search across NIST 800-53 Rev5, NIST 800-171 Rev2, CMMC 2.0, and STIG CCI mappings. BM25 ranked results. Zero token cost, air-gap safe. 36,000+ controls indexed.
dag_attestationExport the PQC-signed DAG audit trail for the current session. Returns all DAG nodes with ML-DSA-65 signatures, timestamps, and Adinkra symbol chain.
khepra_export_poamExport a DFARS 252.204-7012 POA&M (Plan of Action & Milestones) from the current DAG state. Maps open findings to remediation timelines.
agent_recordRecord an agent action in the SouHimBou AI Flight Recorder. Records to PQC-signed DAG audit log.
flight_exportExport a CMMC-aligned evidence packet from the SouHimBou AI flight log. Maps agent actions to NIST 800-171 / CMMC 2.0 controls.
ea_threat_scoreCalculate a composite threat score for a target using the EA kernel. Returns CVSS-band score, confidence interval, and contributing factors.
ea_evolveRun Evolutionary Algorithm threat evolution. Optimizes for: NIST 800-171 control coverage, PQC readiness, threat posture. Returns the fittest genome with Adinkra symbol binding.
dag_queryQuery the KASA DAG for nodes matching criteria. Returns matched nodes with signatures and provenance.
khepra_watchRegister a filesystem path for continuous STIG-triggered scanning. Fires ert_scan on file changes.
ea_risk_summarySynthesize EA-driven risk summary: vulnerability exposure, compliance gap, PQC migration cost, blast radius. Same engine as Godfather Report.
ouroboros_vuln_eyeOuroboros Vuln Eye — continuous vulnerability scanning status. Returns active CVEs, EPSS scores, and remediation priority.
attack_graphGenerate an attack graph from current NHI inventory. Models lateral movement paths, privilege escalation vectors, and blast radius.
nhi_expiredList expired or soon-to-expire non-human identities
cmmc_assessCMMC Level 1/2/3 assessment via KHEPRA compliance database (36,195 STIG→CCI→NIST→CMMC mappings). Returns satisfaction score, gaps, C3PAO readiness flag, and PQC status.
drift_detectDetect configuration drift between current state and a signed baseline. Uses the KHEPRA DriftEngine with Adinkra symbol binding.
fim_baselineCreate a file integrity monitoring baseline. Monitors critical paths using SHA-256 hash baselines. Baseline is DAG-attested.
port_scanTCP port scan with service banner grabbing. Identifies open ports and running services. MITRE ATT&CK T1046.
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