Connects AI assistants to IDA Pro for decompilation, disassembly, database changes, and reverse-engineering workflows.
Key Features: IDA Pro decompilation access Database comments, renaming, and type updates Automates security vulnerability remediation by analyzing SAST reports or scanning repos, providing fix recommendations via MCP.
Key Features: Supports SAST tools: Checkmarx, CodeQL, Fortify, Snyk Two modes: Scan (runs SAST scan) and Analyze (uses existing SAST report) Generates automated code fixes for detected vulnerabilities Enforces YAML permissions on agent tool calls, inspects sensitive data and tool chains, and records audit trails.
Key Features: PII and PHI classification Dangerous tool-chain detection Local static analysis for dead code, security issues, secrets, dependencies, quality regressions, and AI-generated code defects.
Key Features: Dead-code and unused-file detection Security, secret, and dependency analysis AI-generated code verification UI/UX design-audit MCP server: scores a project on 12 dimensions vs WCAG 2.2 + APCA.
Proxies MCP traffic to add signed audits, redaction, policies, rate limits, and a local read-only dashboard.
Key Features: Stdio and HTTP MCP proxying JSONL and SQLite audit storage HMAC-SHA256 audit signing Cross-file SAST and MCP code analysis for call graphs, data flows, security rules, and source-to-sink vulnerabilities.
Key Features: Cross-file call-graph analysis Inter-procedural taint and data-flow tracing MCP queries for callers, callees, patterns, and security rules Locally masks PII, secrets, and credentials in text and files before AI processing, then restores tokenized values.
Key Features: Local PII and secret tokenization Text sanitization with selectable profiles Sanitization for text and supported local files Remote MCP server for querying RAD Security findings, reports, and runtime data across Kubernetes and cloud environments.
Key Features: Hosted Streamable HTTP MCP endpoint Security findings queries Security report retrieval Security layer for AI agents: blocks prompt injection, detects fake packages, scans vulnerabilities.
Creates and reads AES-256-GCM encrypted, one-time Volta Notes for credential handoff between users and AI agents.
Key Features: Create AES-256-GCM encrypted notes Read and permanently destroy notes Keep decryption keys in URL fragments Binary Ninja plugin and MCP server enabling AI-assisted binary analysis and reverse engineering via MCP clients.
Key Features: Real-time integration between Binary Ninja and MCP clients Support for multiple MCP clients including Cline, Claude Desktop, Roo Code, Cursor, Windsurf, Claud… Automatic switching between multiple open binaries