"Historical cryptocurrency market data" matching MCP servers:

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 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.

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.

Enables Claude Code to work with personal data that stays on the local machine, running SQL, Python, and file/schema inspection in a sandboxed compute-to-data setup that returns only aggregates, schemas, synthetic fixtures, and pseudonymized results. Raw records, file names, and protected values never reach the Anthropic API, so Auto mode can stay hands-off.

An MCP server that provides tools to audit AI-agent marketplace integrity by scanning listings for deceptive patterns like fabricated engagement, automated seeding, self-advertisement, unpaid work risk, and high-budget bait.

An MCP server that provides comprehensive data verification in China, including identity, business, vehicle, OCR, and risk assessment services.

Enables Claude to search, retrieve, and analyze indexed files with sensitivity classifications and automatic redaction of sensitive information.

Enables AI assistants to manage database encryption key operations and Transparent Data Encryption (TDE) for SQL Server and Oracle databases via CipherTrust Application Key Management (CAKM).

A comprehensive MCP server for automated AWS data discovery, PII detection, and data governance using Lake Formation.

Paid remote MCP server for agent data-access boundary reviews, permission scope evidence, sensitive data notes, and governance receipts.

An MCP Server that enables interaction with Google Cloud's Data Loss Prevention (DLP) API, allowing users to discover, classify, and protect sensitive data through natural language commands.

Enables read-only access to Interbanking (Argentina) banking data from an agent, letting users ask in natural language for account lists, current and historical balances, and account movements with credit/debit totals. It never exposes any operation that moves money.