"How to query data from ServiceNow" matching MCP servers:

A local MCP server for secure database querying from Claude Code, with Apple Keychain credential storage, permission-based access control, and audit logging.

Enables AI assistants to safely run read-only SQL against SQLite databases through whitelist-validated queries, capped result sets, and confined file paths. It also exposes schema inspection so models can discover tables and columns before querying.

A local DLP middleware that redacts sensitive information from prompts using local models before they reach external LLMs. It provides tools to sanitize queries, restore placeholders in responses, and manage a ledger of redactions to maintain data privacy.

Security-focused MCP adapter that combines read-only DataHub metadata with a reviewed OKF-derived policy IR to execute closed, typed SQL queries against synthetic PostgreSQL data.

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 Claude or any MCP-capable assistant to explore and query a small business's sales, payments, invoices, and expenses through read-only SQL tools, while personal-data columns and write operations are refused by the database policy.

Enables Claude to interact with ServiceNow instances for incident management, knowledge base search, and JWT authentication.

Enables agents to detect and redact PII and secrets in text, HTML, and PDF documents before they reach an LLM, with reversible placeholder, mask, or hash redaction, and to list supported detectors and redaction styles.

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.

Seven read-only tools help AI agents review public breach disclosures, organization histories, incident timelines and aggregate statistics. Preserve source attribution, redaction and incomplete-coverage warnings. Local threat-text triage needs no key; no breached data, credentials or private records are collected.

Lets AI agents and developers inspect and query local MySQL, Redis, and MongoDB instances over STDIO or authenticated loopback HTTP, with read-only defaults and allowlisted non-production writes that require explicit opt-in. Production connections always reject writes, and database-enforced read-only accounts are recommended.

An MCP server that sends plain-text Gmail messages only to a predefined allowlist, using generated recipient IDs instead of email addresses to enforce security.

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.

Enables AI agents to securely discover database schemas and execute read-only SQL queries through guardrailed tools that block mutations and clamp result sizes.

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

Pay-per-call Nigerian phone, bank-account, NIN/BVN and state reference data for AI agents over x402 (USDC), no API key.

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.

Enables authenticated organization members to submit, query, and manage schema-validated structured records directly from ChatGPT, with membership requests and approval workflows gating access. All operations are tenant-isolated, permission-checked, and audited, so records are only reachable by approved members of the owning organization.

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

MCP server for connecting to SQL Server in readonly mode. Allows any MCP client to explore the schema and run SELECT queries against a SQL Server database.

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.

Enables AI assistants and signed-in support staff to search and read customer tickets, add internal notes, issue refunds under per-scope and per-customer limits, and export ticket data over a remote, OAuth-protected Streamable HTTP endpoint. Tool lists, resources, prompts, and write operations are gated by bearer tokens and audience-bound scopes so that refund and export actions stay bounded.

Enables AES-256-CBC encryption and decryption of messages with passphrase-derived keys, exposing tools, resources, and prompts for MCP clients like VS Code Copilot Chat.

Enables AI agents to interact with a user management REST API, providing list, get, and create operations while preventing destructive actions like update/delete through an explicit access registry.

Enables agents to process GDPR right-to-be-forgotten and CCPA erasure requests by auditing distributed data stores such as relational databases, vector embeddings, and activity logs, checking legal hold exemptions, executing cascading pseudo-anonymization, and issuing HMAC-SHA256 proofs of erasure. It exposes these capabilities over stdio via JSON-RPC 2.0 MCP tools with no external dependencies.

Enables users to audit relational databases, vector embeddings, and activity logs for GDPR/CCPA erasure requests, apply legal-hold exemptions, perform cascading pseudo-anonymization, and generate cryptographic HMAC-SHA256 proof-of-erasure certificates.