"sqlite" matching MCP servers:

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.

Runs SQL statements in memory against real PostgreSQL 18 and SQLite 3.49 engines after loading your schema and sample rows, returning each statement's own verdict: errors with line, column, and hints, constraint violations, or the resulting rows. It also compares both dialects to expose portability differences, all with no database server, network, or API key.

Lets an MCP client query SQLite databases through validated, forced read-only, row-capped, time-limited and logged operations, so AI agents can explore data without risking writes or runaway queries. It also ships an eval harness that measures how accurately a model answers benchmark questions via text-to-SQL through the server.

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.

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.

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 an agent to run automated binary-search git bisection across a repository's mainline history using isolated git worktrees, pinpointing the commit that introduced a regression without touching the user's working copy. Each candidate is validated by a human-supplied check command, with skip/timeout handling and resumable sessions stored in SQLite.

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 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.

Enables running multiple bash steps in one MCP call with per-step contains, notContains, or regex expectations, reporting process failures and expectation failures separately. Also provides async status polling, cancellation, guarded commands, file edits, grep, sqlite reads, and artifact retrieval.

Enables provider-agnostic LLM discovery, capability testing, stability screening, and AIPerf benchmarking through MCP, with persistent SQLite history.

Provides a central gateway to 170+ offline mock MCP servers with deterministic fixture-based responses and per-server SQLite state, enabling realistic credential-free agent trajectory testing and multi-step workflow rehearsal.

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.

Enables compiling, backtesting, optimizing, and crash-debugging MetaTrader 5 Expert Advisors natively on Windows, backed by SQLite report organization and deal-level analytics across 19 dimensions. Also supports Market Watch symbol resolution and generation of validated economic-calendar datasets for the Strategy Tester, all through 96 MCP tools requiring no Wine, WSL, or runtime GUI automation.

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

Enables wrapping any command or test run to capture a compact, git-style row diff of SQLite or Cloudflare D1 database changes, then instantly apply inverse SQL to revert them. Also produces short plain-language summaries of the side effects using a local Ollama, LM Studio, vLLM, or OpenAI-compatible model.

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.