PQC-Khepra-MCP

PQC-Khepra-MCP

A sovereign compliance engine with 36,195 STIG/CCI/NIST/CMMC mappings and 76 tools, enabling AI assistants to scan systems, generate risk reports, and ensure post-quantum cryptographic attestation—all air-gappable with zero token costs.

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README

KHEPRA MCP Server

smithery badge MCP Registry mcpservers.org Cline Marketplace License Container PQC Live

Sovereign compliance engine with 36,195 STIG/CCI/NIST/CMMC mappings. 76 tools. v2.0.0.

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.

Live hosted endpoint: https://mcp.souhimbou.ai/sse — zero install, connect in 30 seconds.
Self-host for sovereign/air-gap: Docker or binary.


Tiers

Tier Price License Key Tools Continuous Compliance Scanning Egress
Community Free ❌ Not required pqc_stig + 12 core tools Zero (sovereign mode)
Pro $19/mo ✅ Required Compliance reporting, ACP, NHI inventory Zero
Enterprise $499/mo ✅ Required All 76 tools Zero
Sovereign Custom — Contact Sales ✅ Required All 76 tools + air-gap/offline licensing + HSM 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.

Continuous compliance scanning (autopilot) is included in every paid tier — it's core to the product, not an upsell.


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

Quickstart — Hosted Endpoint (Zero Install)

The fastest path to a live compliance tool in your AI client. No Docker, no binary, no build:

{
  "mcpServers": {
    "khepra": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.souhimbou.ai/sse"]
    }
  }
}

Or if your client supports native SSE transport:

https://mcp.souhimbou.ai/sse

Health check: https://mcp.souhimbou.ai/mcp/v1/health

Data note: The hosted endpoint runs in edge mode — DAG is in-memory and ephemeral. For persistent, signed audit trails and air-gap deployment, use the self-hosted options below.


Self-Hosted Installation

For sovereign/air-gap deployment: Docker (recommended, no build required) or compiled binary (fastest startup, SCIF-ready). Both support the same environment variables and all MCP clients.

Choose your path:

Method Best For Startup
Hosted endpoint Fastest start, cloud tools Instant
Docker Most users, easiest self-host ~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"
      }
    }
  }
}

Pro / Enterprise / Sovereign 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.)

Use the live hosted endpoint at mcp.souhimbou.ai — no setup required:

Option 1 — Live hosted endpoint (recommended, zero setup)

{
  "mcpServers": {
    "khepra": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.souhimbou.ai/sse"]
    }
  }
}

Or direct SSE URL for tools that accept it:

https://mcp.souhimbou.ai/sse
Cloud Tool Where to add MCP URL
Claude.ai (Pro/Team) Settings → Integrations → MCP Servers
Cursor .cursor/mcp.jsonurl field
OpenAI Assistants API tools field with type: "mcp"
Glama.ai Workspace → MCP Servers
Smithery.ai Catalog → Self-hosted server

Option 2 — mcp-remote proxy (local binary behind the bridge)

If you need sovereign mode (zero egress) proxied to a cloud tool:

# Install once
npm install -g mcp-remote

# Bridge your local sovereign instance
KHEPRA_MODE=sovereign mcp-remote \
  --server "docker run --rm -i -e KHEPRA_MODE=sovereign ghcr.io/nouchix/pqc-khepra-mcp:latest" \
  --port 3000

# Point cloud tool to:
# http://localhost:3000/sse

Security note: In sovereign/ironbank mode, KHEPRA makes zero egress calls — only the bridge connection to the cloud tool carries data.

Option 3 — Smithery / MCP Registries (Community tier)

KHEPRA is listed across all major MCP discovery platforms. Cloud tools that support registry-based discovery can install it directly:

Registry URL
Smithery.ai smithery.ai/servers/skone/pqc-khepra-mcp
MCP Registry (official) registry.modelcontextprotocol.io/?q=khepra
mcpservers.org mcpservers.org/servers/nouchix/pqc-khepra-mcp
Cline Marketplace github.com/cline/mcp-marketplace/issues/1824
Live Hosted Endpoint mcp.souhimbou.ai
Registry ID: io.github.nouchix/pqc-khepra-mcp

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.


Pro / Enterprise / Sovereign 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 Pro/Enterprise/Sovereign 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

No per-token or per-query charges on any paid tier.

Tier Cost License Key Tools
Community Free Not required pqc_stig + 12 core tools
Pro $19/mo Required Compliance reporting, ACP, NHI inventory, autopilot
Enterprise $499/mo Required All 76 tools, autopilot
Sovereign Custom — Contact Sales Required All 76 tools + air-gap/offline licensing + HSM, autopilot
  • Community tier is permanently free — contribute to open-source PQC adoption
  • Pro/Enterprise: self-serve billing
  • Sovereign: 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.


Find Us — MCP Registry Listings

PQC-Khepra-MCP is listed on every major MCP discovery platform:

Platform Link Notes
Smithery.ai smithery.ai/servers/skone/pqc-khepra-mcp One-click install for Claude, Cursor, Windsurf
MCP Registry (official) registry.modelcontextprotocol.io/?q=khepra Anthropic-curated registry — Registry ID: io.github.nouchix/pqc-khepra-mcp
mcpservers.org mcpservers.org/servers/nouchix/pqc-khepra-mcp Community discovery index
Cline Marketplace github.com/cline/mcp-marketplace/issues/1824 VS Code / Cline extension marketplace
Live Hosted Endpoint mcp.souhimbou.ai Zero-install SSE endpoint — connect in 30 seconds

About NouchiX

Veteran-led advisory firm translating CMMC, NIST, and STIG mandates into executive roadmaps.

Developed by SecRed Knowledge Inc. dba NouchiX, Albany, NY.

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Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

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