Database MCP servers for Postgres, MySQL, SQLite, MongoDB and more: let an AI assistant inspect schemas and run queries with the access you allow. 1,096 servers in this category.
Provides a local persistent memory system for Claude Code using PostgreSQL and vector search to store decisions, code snippets, and infrastructure details.
Lets you run one connector that hosts multiple isolated MCP servers for PostgreSQL and MSSQL databases with token-based access.
Enables AI assistants to discover, inspect, and query over 30 knowledge graphs using SPARQL and ontology-driven search expansion.
Connects AI assistants to CrateDB clusters to enable natural-language data analysis, cluster troubleshooting, and documentation retrieval.
A deterministic long-term memory system for AI agents using Markdown files and a SQLite index to provide reliable retrieval without vector embeddings.
Indexes Python codebases into a local SQLite database to provide agents with compact context and reduced token usage.
Lets an AI client import, query, and analyze Apple Health export data in natural language to surface health trends and summaries.
Allows AI agents to read and write data in Microsoft Dataverse and XRM environments using the Dataverse Web API.
Lets an AI assistant query U.S. Census Bureau demographic data and interpret it with statistical context and caveats.
Imports Quicken QIF exports into DuckDB and lets an AI client list accounts, query transactions, run SELECT SQL, and generate summaries.
Lets an AI assistant analyze personal financial data through an encrypted local DuckDB database.
Provides a self-hosted, shared Postgres-backed memory store that allows multiple AI assistants to read and write to a unified knowledge base.
Provides an AI agent and MCP server for secure, local access to e-commerce data using Qwen via Ollama and SQLite.
Enables AI agents to safely query SQL databases using read-only access, protected column filtering, and multi-tenant row scoping.
Provides an AI agent with read-only access to an in-memory SQLite database containing sample shop data via SQL tools.
Enables AI clients to query live travel agency data including prices, availability, and rules using hybrid PostgreSQL search and local LLMs.
Allows an AI client to query legacy ERP databases using natural language through a secure, read-only, and column-masked interface.
Stores durable facts, atomic assertions, and text artifacts extracted from conversations using PostgreSQL and semantic retrieval.
Materializes downstream MCP tool results into an in-memory DuckDB database so agents can perform exact SQL aggregation over tool outputs.
An AI agent that writes and executes SQL to analyze video game market data, featuring self-correction, RAG, and statistical analysis tools.
