"Firebase Firestore Database Information" 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.

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.

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

AutoMem MCP provides persistent memory for AI assistants, enabling them to recall information across conversations and platforms with graph-vector retrieval.

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 for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.

Persistent memory for AI coding agents, storing learned architecture decisions, patterns, and bug fixes in a local SQLite database with full-text search, enabling agents to recall information across sessions.

Enables AI agents to store, retrieve, and connect information in a Neo4j graph database as persistent memory, with semantic relationships, natural language search, and temporal tracking across conversations.

A shared memory MCP server for the Senegalese MOHEBS teaching and learning materials pipeline that ensures AI-generated documents remain consistent in characters, terminology, and concept coverage while varying example domains, operating across grade and subject via Firebase storage.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

Enables storing durable AI memories linked to local JSON or text sources, automatically superseding outdated structured values, flagging ambiguous changes for review, excluding expired information, and preserving revision history in a local SQLite database.

Enables natural language tracking and exploration of books, movies/TV, quotes, podcasts, and personalized recommendations, using Google Cloud Firestore as a private, intelligent entertainment memory and AI curator.

Enables seamless integration between Claude and Dry smartspaces, turning conversations into persistent, structured data by creating memories and querying information.

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.