"SQLite" matching MCP servers:

Behavioral verification intelligence for AI coding agents. Reads a TypeScript or JavaScript repo, clusters functions into 25 semantic workflows (Authentication, Payments, Webhooks, Caching, Queue, and more), and emits concrete adversarial probes per workflow. 17 MCP tools, local SQLite state, zero cloud.

Connects AI agents to Minecraft servers via RCON to execute commands, monitor logs, and perform read-only SQLite database queries. It is specifically designed to facilitate AI-assisted plugin development, live debugging, and automated testing workflows.

Turn any .NET test-automation solution into a queryable map in one SQLite file — features, steps, API clients, page objects, and their dependencies. Zero config, no AI, no network, 100% deterministic.

Local MCP server for querying VCD waveform files via SQLite; enables AI agents to ask precise questions about signal values, transitions, and clock cycles without dumping raw VCD text.

Enables local engineering workflow management by consolidating tickets, QA evidence, time tracking, root cause investigation, knowledge, and reporting into a single SQLite database, allowing generation of complete ticket packages for handoffs, dailies, or career evidence.

Indexes Robot Framework and Python files from robotws, stores metadata in SQLite, and provides generation context to help Cursor's LLM draft testcases in team style.

Local MCP server for Android and iOS mobile automation and performance telemetry, enabling device control (screenshot, tap, swipe, input, app launch) and metric collection (CPU, memory, launch time) via ADB, simctl, and WebDriverAgent with SQLite session history.

A procurement scenario MCP server for testing whether pending work can resume after a service restart, comparing legacy and modern continuation. It uses SQLite for data persistence and demonstrates real MCP protocol messages.

Consolidates git history, test results, and Copilot sessions into a searchable SQLite database for AI assistants to answer questions about development activity.

A dual-track testing server that combines CLI test execution with Playwright-based browser testing and persistent SQLite logging. It enables automated test pipelines, Git integration, and evidence-based requirement generation to streamline the development lifecycle.

Exposes 10 read-only tools for querying synthetic Jira bug data, metrics, trends, and risks via SQLite, enabling AI agents to analyze engineering bugs through a controlled sandboxed interface.