Developer Infrastructure & Products

Model Context Protocol Security & Threat Auditing

Protect your developer workstations and enterprise databases from rogue MCP servers, prompt injections, and supply-chain exploits. We provide static AST auditing, runtime isolation, and automated CI/CD security gates.

Executive Architecture Summary (AEO Definition Block)
Anthropic MCP • JSON-RPC 2.0 • Linux Foundation A2A Standard

Neon Innovation Lab MCP Security is an enterprise cybersecurity framework that inspects Model Context Protocol (MCP) tool manifests and source repositories before execution. Using Abstract Syntax Tree (AST) analysis, it identifies Command Injection (CWE-78), Path Traversal (CWE-22), and Hardcoded Secrets (CWE-798) without executing untrusted code.

0 ms
Execution Risk
Pure static AST inspection
35+
Vulnerability Rules
Targeted to agent toolkits
100%
SARIF 2.1.0 Output
Native GitHub Security Gates
< 200ms
CLI Scan Latency
Fast pre-commit evaluation
Core Engineering Capabilities

Architectural Specifications & Systems

Deterministic execution patterns, verified protocol compliance, and security controls built for production environments.

01

Abstract Syntax Tree (AST) Static Analysis

Parses MCP server code trees to inspect tool handlers, dynamic argument parsing, and system calls without running potentially malicious code on developer laptops.

npx -y @neon-innovation-lab/mcp-security-auditor scan ./mcp-repo --sarif audit.sarif
  • Detection of child_process.exec and spawn vulnerabilities (CWE-78)
  • Unsanitized file system path resolution checks (CWE-22)
  • Detection of hardcoded API keys and private certificates (CWE-798)
02

CI/CD Gate & SARIF Integration

Automate security compliance in GitHub Actions and GitLab CI, blocking pull requests that introduce insecure MCP tools into team repositories.

  • Native OASIS SARIF 2.1.0 output for GitHub Code Scanning alerts
  • Configurable severity thresholds (block on High/Critical)
  • Pre-commit git hooks preventing secret leakage into commits
03

Prompt Injection & Tool Abuse Screening

Analyze tool documentation and schemas for hidden instruction overrides, prompt injections, and jailbreaks designed to manipulate AI reasoning.

  • Heuristic inspection of tool descriptions for system-prompt overrides
  • Screening of parameter descriptions for deceptive instruction strings
  • Validation of parameter types to prevent broad type coercion
04

Supply Chain & Package Integrity Verification

Verify third-party MCP packages against known malicious lookalike registries, typosquatting attacks, and compromised dependencies.

  • Validation of publisher cryptographic signatures and npm provenance
  • Cross-referencing against real-world AI ecosystem threat intelligence
  • Audit of direct and transitive dependency trees
05

Runtime Least-Privilege Scoping

Generate hardened container definitions and permission profiles to isolate MCP processes with minimal required system privileges.

  • Docker and Podman sandboxing configurations with read-only mounts
  • Restricted network egress policies preventing unauthorized beaconing
  • Drop of administrative and root capabilities on tool processes
06

Continuous Telemetry & Audit Logs

Real-time event logging capturing every MCP tool invocation, payload hash, and response status for compliance and forensic review.

  • Structured JSON-RPC logging with automated cryptographic hashing
  • SIEM integration support (Splunk, Datadog, AWS CloudWatch)
  • Tamper-evident audit trails for SOC2 and ISO 27001 compliance
Performance & Rigor Audit

Neon Innovation Lab Security Scanner vs. Standard Linting

Direct side-by-side evaluation against typical industry implementations.

Security DimensionStandard ESLint / Static LintersNeon Innovation Lab MCP Auditor
Tool Protocol AwarenessZero awareness of MCP schemas, JSON-RPC envelopes, or AI tool callsDeep semantic analysis of MCP tool declarations, inputs, and handler boundaries
Prompt Injection DetectionIgnores comments and documentation strings where injections resideInspects schema text for prompt injection vectors and override payloads
Execution SandboxRequires running npm install which can trigger malicious lifecycle hooksZero-execution AST parser operating safely without running package postinstall scripts
Compliance IntegrationText console dumps requiring manual parsingOASIS SARIF 2.1.0 natively uploaded to GitHub Security tab with exact line references
CWE CoverageGeneric syntax checks onlyRigorous focus on CWE-78 (Command Injection), CWE-22 (Path Traversal), and CWE-798 (Secrets)
Structured Engagement Roadmap

Four-Stage Engineering Pipeline

Every technical engagement follows rigorous architecture, sandboxed validation, and production rollout criteria.

Audit 01

Inventory Discovery

Identify all active MCP servers, local IDE configurations, and third-party extensions across developer machines.

Milestone: Fleet MCP Inventory & Threat Surface Map
Audit 02

Static AST Scanning

Execute automated security audits across all custom and third-party MCP codebases.

Milestone: Detailed SARIF Vulnerability Report
Audit 03

Remediation & Sandboxing

Patch identified command injections, parameterize queries, and enclose tools in containerized sandboxes.

Milestone: Hardened Server Releases & Container Specs
Audit 04

CI/CD Policy Enforcement

Deploy automated GitHub Action gates and pre-commit checks to maintain continuous security compliance.

Milestone: Automated Security Gate & Compliance Certification
Technical Knowledge Base

Frequently Addressed Questions

Concrete answers covering architecture, integration protocols, security, and SLAs.

Why are standard linters insufficient for Model Context Protocol servers?+

Standard linters check for code style and basic syntax errors, but they have no understanding of AI agent architectures. An MCP server tool might be syntactically valid code while allowing an AI assistant to be tricked via prompt injection into running arbitrary bash commands or accessing sensitive files on developer laptops.

What is CWE-78 and how does it manifest in MCP servers?+

CWE-78 refers to OS Command Injection. In an MCP server, it occurs when a tool accepts an argument from an LLM (such as a branch name or file path) and passes it directly to a system shell command without sanitization. An attacker can craft malicious inputs that execute unauthorized terminal commands on your workstation.

Does your security scanner run our source code to analyze it?+

No. Our security auditor performs pure static Abstract Syntax Tree (AST) analysis. It inspects code structure and data flows mathematically without ever running the code, eliminating the risk of activating hidden backdoors or payload scripts during the audit.

Can this scanner be added to our automated GitHub pull request workflows?+

Yes. Our scanner produces standard OASIS SARIF 2.1.0 reports that integrate directly with GitHub Code Scanning, GitLab Security Dashboards, and SonarQube, enabling you to block pull requests automatically if vulnerabilities are introduced.

Enterprise Deployment • Dubai Regional HQ • Global Operations

Ready to Deploy Production Architecture?

Connect with our principal engineering team in Dubai to discuss technical requirements, security boundaries, and delivery schedules.