"sqlite" matching MCP servers:

Enables AI models to interact with SQLite Cloud databases, supporting SQL queries, schema management, and performance analysis.

Shared memory MCP server for AI coding agents, enabling context sharing across sessions with local SQLite or cloud-based semantic search, compatible with Claude Code and Cursor.

Enables querying package ecosystem data from ecosyste.ms, including package metadata, versions, security advisories, dependencies, and repository information across 40+ package registries with fast local SQLite lookups and API fallback.

Description: Persistent memory for AI agents with rollback, audit trails, semantic search, and knowledge graph. Zero-config local SQLite or cloud API. 23 tools, 6 resources, 3 prompts.

Persistent memory layer for MCP-compatible AI agents. Implements save/recall/search over a local SQLite session store via 14 MCP tools. Auto-loads relevant context at session start. No cloud dependency. Works with Claude, Cursor, Codex, Hermes Agent. Free (50 sessions) / Pro ($8/mo).

Database management — connect, query, describe schemas, run migrations, and monitor active queries across PostgreSQL, MySQL, and SQLite.

This local MCP server keeps vulnerability intelligence, research scope, scanner results, evidence receipts, Bugcrowd VRT assessments, and report drafts in one SQLite ledger. It is built for authorized defensive research and does not scan, exploit, or submit reports.

Governed actions, shared memory, audit, and rollback for MCP clients such as Claude Desktop, Cursor, and Claude Code. Works locally with SQLite or connects to Novyx Cloud for policy-as-code, approval workflows, and governance dashboards.

Cross-agent memory server: hybrid (vector + full-text + knowledge-graph) recall, per-user private/shared visibility, write-side secret/PII redaction, and as-of-date bi-temporal fact queries. Auto-injection hooks for Claude Code / Cursor / Codex; self-hostable on PostgreSQL or SQLite.

A local stdio MCP server that lets AI clients inspect and control a Lemon-enabled iPhone over the local WebControl API, discovering the device via Bonjour. It exposes tools and resources for VPN toggling, embedded web pages, scheduled JavaScript tasks, captured traffic, logs, files, SQLite queries, DNS hosts, HTTP replay, rewrite scripts and rules, and UI modules.

Provides an append-only SQLite journal for orchestrator/worker AI workflows, enabling delegation, reporting, verification, and tracking of tasks with built-in search and optional cloud sync.

Multi-database management tool and MCP server supporting MySQL, PostgreSQL, SQLite, and Dameng DM8, enabling AI assistants to query and manage databases via stdio or HTTP.

A Python library for storing and querying n-ary relationships with provenance tracking. SQLite-backed, zero configuration.

Enables local-first LLM orchestration with persistent memory, knowledge management, routing, swarm patterns, API probing, tests, automation planning, and plugin discovery via a stdio MCP server, using SQLite for offline storage.

Atlas Scout is a local, read-only MCP server for structural code navigation. It builds a disposable SQLite index inside each workspace and provides definitions, source ranges, references, call relationships, architecture summaries, and edit-impact evidence to coding agents.

Enables AI agents to create, query, update, claim, hand off, and complete tasks on a local SQLite-backed, project-namespaced kanban board through stdio MCP tools, including filtering for ready/blocked/stale work and exchanging task attachments. It also lets agents list projects and manage statuses, ownership, and evidence without any server or accounts.

MCP server for personal and shared memory with full-text search (SQLite FTS5) and outcome tracking, compatible with any MCP agent like Claude Code, Cursor, and Codex CLI.

A DynamoDB-compatible database engine (Rust, SQLite-backed) whose MCP server exposes 34 DynamoDB tools: tables, items, query/scan, batch, transactions, PartiQL, TTL, tags, streams and snapshots

Seven-layer agent memory over MCP: zenbrain_store routes a general statement into a semantic fact, a narrated event into an episode, a sequence of instructions into a procedure, and zenbrain_recall tags every result with the layer it came from. zenbrain_consolidate runs one sleep-like maintenance pass; storage is a local SQLite file, with no account and no network call.

Enables AI clients to programmatically build, validate, run, and test executable agent graphs as nodes and wires through local MCP tools, with SQLite storage and no cloud dependency.