Automated security red-team for any MCP server that scans manifests against OWASP LLM Top 10 and MCP-specific risks, returning a 0-100 hardening score and HMAC-signed report.
Enterprise-grade Slack integration with compliance audit trails for AI agents. Every action is logged locally for governance, regulatory compliance, and security review.
A spreadsheet and CSV analysis toolkit for AI agents that enables loading CSV files, filtering and querying data, computing statistics, creating aggregations, building pivot tables, and exporting chart-ready data using pandas.
Connect AI agents to SQL databases (SQLite, PostgreSQL, MySQL) with a unified interface for querying data, exploring schemas, inserting rows, and exporting results to CSV. Includes safety features like dangerous query blocking and write guards.
MCP server for embedding and verifying C2PA content credentials (provenance) in AI-generated assets, with HMAC-based tamper-evident manifests and optional X.509 support, helping comply with EU AI Act Article 50.
Connects legacy COBOL mainframe systems to modern AI governance via MCP, with tools for parsing copybooks, assessing CICS, scanning JCL, mapping VSAM, and translating EBCDIC.
A test harness for MCP servers that validates server JSON, tool schemas, performs golden file diffing and schema drift detection, and generates signed test reports with Shields.io badges.
Enables algorithmic trading compliance with MiFID II Article 17, providing tools for strategy classification, RTS 6 testing, and best execution audits. Also supports EU AI Act compliance.