"Using SQLite with a database cursor" matching MCP servers:

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Gives AI agents controlled access to an existing, live SQLite database that another application owns, with permission-gated schema, read, structured write, backup, and diagnostics tools. Structured writes with mandatory filters, row limits counting cascades, and request idempotency keep a mistaken but authorized agent from causing unrecoverable damage.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables LLM agents to access Global Database's company intelligence, including company profiles, financials, ownership, people search, prospecting, and KYB/compliance lookups against official registries.

A small MCP server that lets an LLM query PostgreSQL, MySQL, MariaDB, SQL Server, or SQLite databases safely — read-only, role-restricted, and with sensitive data blacked out.

Read-only security audit for Supabase. Surfaces RLS gaps, permissive policies, exposed functions and grants, and returns scored findings with fix SQL that is never executed.

Enables LLM clients to safely inspect database schemas and run only approved read-only queries and stored procedures, with auditing.

Enables AI clients to safely query PostgreSQL or SQLite databases read-only through AST-validated guardrails, schema introspection, and statistical table profiling. It returns results as Markdown tables, JSON audit reports, and database health checks.

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Enables role-based order management through MCP tools, allowing users to view and refund orders according to their permissions (USER, MANAGER, ADMIN) with audit logging and JWT authentication handled by a FastAPI client.

A proof-of-concept attack that exploits Model Context Protocol (MCP) tool registration to achieve persistent agent poisoning in AI assistants like Cursor, embedding malicious instructions that persist across chat contexts without requiring tool execution.

DataNexa is a local, read-only database MCP gateway for AI agents. It routes SQLite, MySQL, PostgreSQL, and any JDBC-compatible database through a single localhost endpoint, enforces read-only access via SQL AST validation with row, time, and connection limits, and keeps a local audit trail of every query.

Enables AI assistants to inspect and manage a SQLite database by exposing MCP tools for reading statistics, introspecting schema, searching and paginating user records, creating, updating and deleting users, and running guarded read-only SQL queries. It also serves the same database operations over a RESTful HTTP API alongside a web signup portal, with hashed passwords and parameterized queries for safety.

A wrapper for mcp-remote that provides secure authentication for protected MCP servers using Adobe IMS or Okta OAuth flows. It features automated token management, validation, and background refreshing for seamless access to remote resources.

Enables database querying and modification through an MCP server where each action is gated by human-granted scopes, per-call confirmations for destructive operations, and revocable access.

A secure MCP server that exposes a SQLite database to AI agents with Role-Based Access Control, supporting authentication, customer/order/user management, and audit logging.

Enables AI agents to query PostgreSQL databases securely with read-only defaults, PII masking, rate limiting, and human-approved, expiring mutation tokens.

Provides 14 MCP tools for AI agent infrastructure, enabling knowledge base queries, skill search, handoffs, blueprint validation, trust scoring, identity verification, SLA validation, and compliance checks.