AI tool plugins: Databases
Our pass of counted 1 004 plugins in the category Databases, in 1 102 listings. 2 appeared in the last 7 days and 0 left in the last 30. The leader by Stars (GitHub) is dbx, with 26k.
The most popular
Ranked by Stars (GitHub), the figure this marketplace publishes. Figures of different marketplaces are never added up.
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dbx io.github.t8y2/dbx
Query databases from AI agents using connections configured in DBX.
GitHub stars: 25 811 -
MCP Toolbox for Databases enables your agent to connect to your database.
GitHub stars: 16 644 -
mcp io.github.kubeshark/mcp
Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.
GitHub stars: 12 096 -
Database management tools for Claude Code. Query databases, explore schemas, analyze data quality, and get optimization recommendations. Supports PostgreSQL, MySQL/MariaDB…
GitHub stars: 5 037 -
Token-efficient database MCP server for PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite
GitHub stars: 3 631 -
Inspect database schemas and execute SQL queries across multiple database providers with LINQ to DB.
GitHub stars: 3 332 -
MCP server for interacting with the Supabase platform
GitHub stars: 2 945 -
Task automation via SQLite, desktop Local API, or Mindwtr Cloud; read-only by default.
GitHub stars: 2 235 -
pg-aiguide io.github.timescale/pg-aiguide
Comprehensive PostgreSQL documentation and best practices, including ecosystem tools
GitHub stars: 1 865 -
Cloud-backed persistent memory for Claude Code powered by Deeplake. Automatically captures all session activity: user prompts, assistant responses, and tool calls into a shared…
GitHub stars: 1 621 -
Generate secured CRUD APIs over your database, run SQL, manage files, tasks and a headless browser
GitHub stars: 1 201 -
Built-in MCP server for ArcadeDB multi-model database (graph, document, vector, time-series)
GitHub stars: 1 195 -
mongodb-mcp-server io.github.mongodb-js/mongodb-mcp-server
MongoDB Model Context Protocol Server
GitHub stars: 1 141 -
QueryWeaver com.falkordb/QueryWeaver
An MCP server for Text2SQL: transforms natural language into SQL using graph schema understanding.
GitHub stars: 1 080 -
SQL-native query and provisioning engine for cloud infrastructure, served over MCP.
GitHub stars: 1 068 -
Official ClickHouse MCP server for querying and exploring ClickHouse clusters and chDB.
GitHub stars: 883 -
Full Agent Swarm API and MCP server with local SQLite storage for multi-agent orchestration.
GitHub stars: 875 -
Any REST/SOAP/GraphQL/OData/SQL API as MCP tools for Claude & ChatGPT. 352 connectors: SAP, ERP.
GitHub stars: 727 -
Official Neon MCP server for managing Neon projects and Lakebase Postgres databases.
GitHub stars: 650 -
MCP server for interacting with Neon Management API and databases.
GitHub stars: 650
What these plugins usually run and ask for
- Run on a remote server
- 34% Share of plugins with a remote endpoint: the AI tool talks to a server on the internet.
- Run on your machine
- 59% Share of plugins the AI tool starts locally, as a package or a local command.
- Median secrets asked for
- 0.0 Half of the plugins here ask for this many secret settings (API keys, tokens) or fewer, as their marketplaces declare them.
- Median tools declared
- 16.0 Over the 26 plugins whose marketplace lists their tools.
- Bundles with hooks
- 28% Share of plugin bundles that run shell hooks on events of the AI tool.
Counted over the live plugins of this page. Shares and medians are stated only for groups of at least 20 plugins; they describe declarations, not a security review.
Where they are published
How many of these plugins each marketplace lists. One plugin can be on several of them, so the lines do not add up to the total.
Rows come from our latest passes over the marketplaces. A plugin listed on several marketplaces is one row, with the figure of the marketplace the list is ranked by. GitHub figures rank a plugin only when its repository holds no other plugin we track; the figure of a shared repository is shown as the whole repository's and does not rank.
All AI tool plugins · AI tool plugin statistics
Data comes from the public marketplace file https://github.com/github/awesome-copilot/blob/HEAD/.github/plugin/marketplace.json. Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-community/blob/HEAD/.claude-plugin/marketplace.json. Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-official/blob/HEAD/.claude-plugin/marketplace.json. Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the public marketplace file https://github.com/github/copilot-plugins/blob/HEAD/.github/plugin/marketplace.json. Data comes from the public marketplace file https://github.com/cursor/plugins/blob/HEAD/.cursor-plugin/marketplace.json. Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from the public marketplace file https://github.com/anthropics/knowledge-work-plugins/blob/HEAD/.claude-plugin/marketplace.json. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Data comes from the public marketplace file https://github.com/openai/plugins/blob/HEAD/.agents/plugins/marketplace.json. . We publish no contact details for plugin publishers.
Where the data comes from: how the catalog is built