"Automated cryptocurrency trading bot using on-chain data and Hummingbot" matching MCP servers:

Enables minting canary markers into package-generated synthetic datasets and scanning text you control to detect when a marker released to one recipient reappears elsewhere. Produces a payload-free, hash-linked evidence chain whose export verifies offline.

Manages trust chains and attestations with built-in EU AI Act compliance.

Unifies 21 supply chain security data sources into a single MCP server, enabling AI agents to perform comprehensive package audits, vulnerability checks, provenance verification, and risk assessment across multiple ecosystems.

Lets MCP clients safely investigate live business data across multiple enterprise APIs by giving each subject a consistent scoped pseudonym and surfacing disagreements between sources as findings.

Enables auditing package.json files for real npm supply-chain attack mechanisms — typosquatted dependency names, malicious preinstall/install/postinstall scripts that pipe downloads into a shell or decode base64 payloads, and unpinned versions — plus live npm registry lookups that flag nonexistent, brand-new, deprecated, or typosquatted packages. It exposes dedicated tools for full manifest audits and single-name typosquat checks.

Enables AI agents and MCP-compliant clients to audit software bills of materials and quarantine supply-chain malicious package dependencies using Snyk and Socket.dev.

An MCP Server that enables users to interact with Google's On-Demand Scanning API (v1beta1) through natural language, likely providing capabilities for vulnerability scanning and security analysis of containers and artifacts.

Stateless Streamable HTTP MCP endpoint with OAuth 2.1 authentication via Cloudflare Workers, supporting PKCE, DCR, and token introspection.

Enables agents to validate data safety before storing, transmitting, or logging data, preventing GDPR/HIPAA/PCI-DSS violations with clear verdicts like SAFE_TO_PROCESS, REDACT_BEFORE_PASSING, DO_NOT_STORE, or ESCALATE.

A read-only breach-intelligence MCP server that checks domain breaches, provides recent breach news, and assesses threat text from public feeds.

Enables searching for relevant tables and retrieving data from Microsoft Sentinel's data lake using natural language, supporting security hunting scenarios like password-spray detection and impossible travel checks.

Enables MCP clients such as Claude, ChatGPT and Cursor to answer business questions about sales, customers, orders and spreadsheets in natural language by reading live Postgres/SQLite databases and Google Sheets without exporting files or gaining write access. Guardrails include AST-based read-only SQL validation, read-only database roles, row/byte caps with pagination, PII masking, bearer-token auth for remote HTTP use, and a full JSONL audit log of every tool call.

Enables organisations to connect a database so people can query it through an MCP client, authenticating through the organisation's own identity provider. Every question is parsed and checked against role-based table, column and row limits before running, with all decisions recorded in an audit trail.

GDPR Chapter V runtime guard for cross-region agent transfers. Supports adequacy decisions, SCCs, BCRs, and IDTA.

Enables AI coding assistants to audit datasets against DAMA-DMBOK quality dimensions, sanitize PII, generate differential-privacy synthetic twins, compress prompt context, and export dbt schema tests and interactive HTML reports. It supports development against sensitive data with zero real records exposed to external LLMs.

Enforces identity-based access control and audit logging for MCP servers, letting you grant fine-grained tool permissions to users and systems while failing secure by default.

Provides a three-layer payment firewall for AI agents, enabling identity verification, risk screening, and execution authorization with on-chain policy enforcement for secure and auditable transactions.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

Middleware that converts existing APIs/DBs into MCP tools with secure credential injection, data scoping, and immutable audit logs.

Enables querying Red Hat security data including CSAF advisories, CVEs, and OVAL streams through natural language.