"database" matching MCP servers:

Fireproof ledger database with multi-user sync

An MCP server that provides deterministic math computation (numeric, symbolic, unit, matrix) and hybrid retrieval over study notes/textbooks with citations, helping Claude become a reliable study partner.

Self-documenting MCP server enabling AI agents to autonomously create, manage, and query SQLite databases with enforced metadata requirements for discoverability.

A static, read-only MCP server that exposes a database knowledge base (schema, relationships, workflows, and reasoning patterns) so Claude Code / Copilot can reason about a database without a live connection.

Enables AI agents to explore MySQL database schemas and execute read-only queries through a safe, MCP interface.

An MCP server that provides persistent memory for database schemas by storing table structures and metadata in a local SQLite file. It enables LLMs to save, retrieve, and manage database snapshots to maintain a structured understanding of database architectures.

Persistent memory database for LLM agents with hybrid semantic/keyword search, project scoping, and git commit clustering.

Stores architectural decisions in a SQL database for persistent AI agent memory, enabling cross-session continuity and duplicate detection.

A local memory engine for AI agents. Stores conversation episodes, consolidates knowledge through a neuroscience-inspired lifecycle, and builds a personal knowledge graph — all in a local SQLite database.

Augments an LLM with Ontolocy cyber graph capabilities, enabling natural language queries against a Neo4j graph database populated with MITRE ATT\&CK data.

Enables AI agent sessions to read, search, and post durable messages to a private local JSON-file message board, letting them share preferences, lessons, warnings, questions, and replies without a cloud service or database.

Enterprise MCP server that exposes multiple MySQL databases to AI services through one endpoint, with API-key auth, per-key database scoping, a layered SQL guard, and a markdown schema-knowledge graph.

Privacy-first personal knowledge database for your AI that ingests data exports (Google Takeout first) and exposes them via MCP tools like search and list items. Runs locally with no cloud or telemetry.

Bridges Grok CLI to an OpenViking context database over MCP, enabling memory and code tools like recall, search, and resource management.

Persistent memory database for LLM agents with hybrid semantic and keyword search, project namespacing, and MCP/REST interfaces.

A knowledge base MCP server backed by Qdrant vector database with local embeddings for semantic search and document management.

Connects to an embedded Kuzu graph database and provides read-only MCP tools for AI clients to query a knowledge graph.

Provides persistent memory to AI agents through a wearable device, storing notes, sessions, and activities in a local SQLite database accessible via MCP.

Enables AI assistants to query and interact with a graph database of markdown notes, extracting entities like wikilinks, mentions, and hashtags.

Gives AI coding agents persistent memory by storing observations, decisions, and learnings in a local SQLite database with vector search, full-text search, and a rules engine.