Best AI agents for working with databases (2026)
Database MCP servers, vector stores and text-to-SQL tools that let agents query, manage and store data in Postgres, MySQL, MongoDB and more. We list 17 tools for working with databases below, each with a link-checked page, pricing as the maker states it and alternatives.
Chroma
Open-source search and vector database widely used for agent memory and RAG.
Teable
AI spreadsheet and database for business with built-in agents.
WrenAI
Generative BI for agents: governed text-to-SQL with a semantic context layer.
MCP Toolbox for Databases
Open-source MCP server from Google for connecting agents to databases.
InsForge
Open-source backend platform that gives coding agents a database, auth and storage.
LanceDB
Open-source multimodal vector database for search, RAG and agent memory.
Electric
Sync engine and agent platform that keeps data in sync between Postgres, apps and agents in real time.
Activeloop
Deep Lake, a multimodal database for AI that stores vectors, images, text and video so agents and RAG apps can search and retrieve them.
DBHub
Database MCP server for Postgres, MySQL, SQL Server and others from Bytebase.
seekdb
AI-native search database for agent storage combining vector, text and structured data.
Supabase MCP
Supabase's MCP server for managing databases, migrations and projects.
pg-aiguide
Timescale's MCP server with PostgreSQL docs and best practices for agents.
MongoDB MCP Server
MongoDB's official MCP server for querying databases and managing Atlas.
StackQL
SQL engine with an MCP server for querying and provisioning cloud resources.
ClickHouse MCP
Official ClickHouse MCP server for querying and exploring ClickHouse databases.
Neon MCP
Neon's official MCP server for managing Postgres projects, branches and queries.
PlanetScale MCP
PlanetScale's MCP server for databases, branches, schemas and query insights.
Browse these categories
Related tasks
Tools are matched to tasks by category, use cases and what each tool says it does. Missing one? Submit it free.