A [Model Context Protocol](https://modelcontextprotocol.io/introduction) server for connecting LLM to databases via JDBC. This server is implemented
Jdbc explorer mcp server connects Jdbc Explorer to AI assistants that speak the Model Context Protocol. A Model Context Protocol server for connecting LLM to databases via JDBC. This server is implemented using the Spring AI MCP framework. The server exposes tools, a prompt and.
A Model Context Protocol server for connecting LLM to databases via JDBC. This server is implemented using the Spring AI MCP framework. The server exposes tools, a prompt and resources to interact with the connected database.
Once connected, the assistant can call these 7 tools directly:
addBusinessInsight — Adds business insights discovered during data analysis to the "Business Insights" resource. Usually executed as part of the prompt "data-explorer"Inputs — - insight (String): business insight discovered during data analysisexecuteQuery — Executes a SQL query against the connected database, returning the resultsgetTableNames — Gets the table names, including type, schema, and remarksdescribeTable — Describe a table in the database including column information, primary keys, foreign keys, and indexesgetDatabaseInfo — Get information about the database including SQL dialect, keywords, database product name, etcSqlite — The Sqlite tool exposed by this serverSetup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Database servers turn schema archaeology and ad-hoc reporting into conversation, which is why they tend to be the second or third server people install. Jdbc Explorer sits in that group, and the shape of its toolset — addBusinessInsight, Inputs, executeQuery among others — tells you what it is really for. Worth comparing against the other databases servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| addBusinessInsight | Adds business insights discovered during data analysis to the "Business Insights" resource. Usually executed as part of the prompt "data-explorer" |
| Inputs | - insight (String): business insight discovered during data analysis |
| executeQuery | Executes a SQL query against the connected database, returning the results |
| getTableNames | Gets the table names, including type, schema, and remarks |
| describeTable | Describe a table in the database including column information, primary keys, foreign keys, and indexes. |
| getDatabaseInfo | Get information about the database including SQL dialect, keywords, database product name, etc. |
| Sqlite | The Sqlite tool exposed by this server. |
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.