Featured

Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off

Launch OpenClaw on Hostinger in about 60 seconds and keep your agent live 24/7. Our referral link gives you 20% off, no coupon code needed.

Launch on Hostinger
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed

Launch Hermes on Hostinger in one click, fully managed, no VPS knowledge needed. Use code ZACAARON10 for 10% off.

Launch on Hostinger
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off

Firecrawl crawls and scrapes any site into clean markdown for your agent. Get 1,000 free credits, and new users get 10% off their first purchase.

Try Firecrawl free
Your own AI agent, running 24/7 with QwikClaw logoYour own AI agent, running 24/7 with QwikClaw

QwikClaw sets up and runs an always-on OpenClaw agent for you. One click, no config files, no server setup.

Deploy now
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit

DataForSEO gives your agent live access to SERP results, keyword data, backlinks, and on-page SEO data through one API. New accounts get a $1 credit, good for up to 20,000 keyword or backlink lookups.

Try DataForSEO free
Reach 47,000+ AI builders

A flat monthly placement in front of developers actively installing AI tools. No lock-in, cancel anytime.

Advertise here

Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

An MCP server for generic Database Management System (DBMS) Connectivity via the Java Database Connectivity (JDBC) protocol

README.md

---

OpenLink MCP Server for JDBC

A lightweight Java-based MCP (Model Context Protocol) server for JDBC built with Quakrus. This server is compatible with Virtuoso DBMS and any other DBMS backend that has a JDBC driver.

!mcp-client-and-servers|648x499

---

Features

  • Get Schemas: Fetch and list all schema names from the connected database.
  • Get Tables: Retrieve table information for specific schemas or all schemas.
  • Describe Table: Generate a detailed description of table structures, including:
  • Column names and data types
  • Nullable attributes
  • Primary and foreign keys
  • Search Tables: Filter and retrieve tables based on name substrings.
  • Execute Stored Procedures: _A Virtuoso-specific feature!_ Execute stored procedures and retrieve results.
  • Execute Queries:
  • JSONL result format: Optimized for structured responses.
  • Markdown table format: Ideal for reporting and visualization.

---

Prerequisites

MCP server requires Java 21 or above.

---

Installation

Clone this repository: ``bash git clone https://github.com/OpenLinkSoftware/mcp-jdbc-server.git cd mcp-jdbc-server ``

Environment Variables

Update your .env by overriding these defaults to match your preferences: `` jdbc.url=jdbc:virtuoso://localhost:1111 jdbc.user=dba jdbc.password=dba jdbc.api_key=xxx ``

---

Configuration

For Claude Desktop users using Virtuoso and its JDBC driver:

Add the following to claude_desktop_config.json:

{
  "mcpServers": {
    "my_database": {
      "command": "java",
      "args": ["-jar", "/path/to/mcp-jdbc-server/MCPServer-1.0.0-runner.jar"],
      "env": {
        "jdbc.url": "jdbc:virtuoso://localhost:1111",
        "jdbc.user": "username",
        "jdbc.password": "password",
        "jdbc.api_key": "sk-xxx"
      }
    }
  }
}

For Claude Desktop users using another JDBC driver or a combination of drivers:

Add the following, edited to suit your local environment, to claude_desktop_config.json:

    "jdbc": {
      "command": "java",
      "args": [
        "-cp",
        "/path/to/mcp-jdbc-server/MCPServer-1.0.0-runner.jar:/path/to/jdbc_driver1.jar:/path/to/jdbc_driverN.jar",
        "io.quarkus.runner.GeneratedMain"
      ],
      "env": {
        "jdbc.url": "jdbc:virtuoso://localhost:1111",
        "jdbc.user": "dba",
        "jdbc.password": "dba"
      }
    }

---

Use

Tools Provided

After successful installation, the following tools will be available to MCP client applications.

Overview

| name | description | |:--- |:---| |jdbc_get_schemas | List database schemas accessible to connected database management system (DBMS). | |jdbc_get_tables | List tables associated with a selected database schema. | |jdbc_describe_table | Provide the description of a table associated with a designated database schema. This includes information about column names, data types, nulls handling, autoincrement, primary key, and foreign keys. | |jdbc_filter_table_names | List tables, based on a substring pattern from the q input field, associated with a selected database schema. | |jdbc_query_database | Execute a SQL query and return results in JSONL format. | |jdbc_execute_query | Execute a SQL query and return results in JSONL format. | |jdbc_execute_query_md | Execute a SQL query and return results in Markdown table format. | |jdbc_spasql_query | _A Virtuoso-specific feature!_ Execute a SPASQL query and return results. | |jdbc_sparql_query | _A Virtuoso-specific feature!_ Execute a SPARQL query and return results. | |jdbc_virtuoso_support_ai| _A Virtuoso-specific feature!_ Interact with LLMs through the Virtuoso Support Assistant/Agent. |

Detailed Description

  • jdbc_get_schemas
  • Retrieve and return a list of all schema names from the connected database.
  • Input parameters:
  • user (string, optional): Database username. Defaults to "demo".
  • password (string, optional): Database password. Defaults to "demo".
  • url (string, optional): JDBC URL connection string.
  • Returns a JSON string array of schema names.
  • jdbc_get_tables
  • Retrieve and return a list containing information about tables in a specified schema. If no schema is provided, uses the connection's default schema.
  • Input parameters:
  • schema (string, optional): Database schema to filter tables. Defaults to connection default.
  • user (string, optional): Database username. Defaults to "demo".
  • password (string, optional): Database password. Defaults to "demo".
  • url (string, optional): JDBC URL connection string.
  • Returns a JSON string containing table information (e.g., TABLE_CAT, TABLE_SCHEM, TABLE_NAME, TABLE_TYPE).
  • jdbc_filter_table_names
  • Filters and returns information about tables whose names contain a specific substring.
  • Input parameters:
  • q (string, required): The substring to search for within table names.
  • schema (string, optional): Database schema to filter tables. Defaults to connection default.
  • user (string, optional): Database username. Defaults to "demo".
  • password (string, optional): Database password. Defaults to "demo".
  • url (string, optional): JDBC URL connection string.
  • Returns a JSON string containing information for matching tables.
  • jdbc_describe_table
  • Retrieve and return detailed information about the columns of a specific table.
  • Input parameters:
  • schema (string, required): The database schema name containing the table.
  • table (string, required): The name of the table to describe.
  • user (string, optional): Database username. Defaults to "demo".
  • password (string, optional): Database password. Defaults to "demo".
  • url (string, optional): JDBC URL connection string.
  • Returns a JSON string describing the table's columns (e.g., COLUMN_NAME, TYPE_NAME, COLUMN_SIZE, IS_NULLABLE).
  • jdbc_query_database
  • Execute a standard SQL query and return the results in JSON format.
  • Input parameters:
  • query (string, required): The SQL query string to execute.
  • user (string, optional): Database username. Defaults to "demo".
  • password (string, optional): Database password. Defaults to "demo".
  • url (string, optional): JDBC URL connection string.
  • Returns query results as a JSON string.
  • jdbc_query_database_md
  • Execute a standard SQL query and return the results formatted as a Markdown table.
  • Input parameters:
  • query (string, required): The SQL query string to execute.
  • user (string, optional): Database username. Defaults to "demo".
  • password (string, optional): Database password. Defaults to "demo".
  • url (string, optional): JDBC URL connection string.
  • Returns query results as a Markdown table string.
  • jdbc_query_database_jsonl
  • Execute a standard SQL query and return the results in JSON Lines (JSONL) format (one JSON object per line).
  • Input parameters:
  • query (string, required): The SQL query string to execute.
  • user (string, optional): Database username. Defaults to "demo".
  • password (string, optional): Database password. Defaults to "demo".
  • url (string, optional): JDBC URL connection string.
  • Returns query results as a JSONL string.
  • jdbc_spasql_query
  • _A Virtuoso-specific feature!_
  • Execute a SPASQL (SQL/SPARQL hybrid) query return results.
  • Input parameters:
  • query (string, required): The SPASQL query string.
  • max_rows (number, optional): Maximum number of rows to return. Defaults to 20.
  • timeout (number, optional): Query timeout in milliseconds. Defaults to 30000 (i.e., 30 seconds).
  • user (string, optional): Database username. Defaults to "demo".
  • password (string, optional): Database password. Defaults to "demo".
  • url (string, optional): JDBC URL connection string.
  • Returns the result from the underlying stored procedure call (e.g., Demo.demo.execute_spasql_query).
  • jdbc_sparql_query
  • _A Virtuoso-specific feature!_
  • Execute a SPARQL query and return results.
  • Input parameters:
  • query (string, required): The SPARQL query string.
  • format (string, optional): Desired result format. Defaults to 'json'.
  • timeout (number, optional): Query timeout in milliseconds. Defaults to 30000 (i.e., 30 seconds).
  • user (string, optional): Database username. Defaults to "demo".
  • password (string, optional): Database password. Defaults to "demo".
  • url (string, optional): JDBC URL connection string.
  • Returns the result from the underlying function call (e.g., "UB".dba."sparqlQuery").
  • jdbc_virtuoso_support_ai
  • _A Virtuoso-specific feature!_
  • Utilizes a Virtuoso-specific AI Assistant function, passing a prompt and optional API key.
  • Input parameters:
  • prompt (string, required): The prompt text for the AI function.
  • api_key (string, optional): API key for the AI service. Defaults to "none".
  • user (string, optional): Database username. Defaults to "demo".
  • password (string, optional): Database password. Defaults to "demo".
  • url (string, optional): JDBC URL connection string.
  • Returns the result from the AI Support Assistant function call (e.g., DEMO.DBA.OAI_VIRTUOSO_SUPPORT_AI).

---

Basic Use & Troubleshooting

MCP Inspector Connecting to Virtuoso's ODBC Driver

For basic MCP client use and troubleshooting, use the MCP Inspector as follows:

  1. Install the MCP Inspector:
   npm install -g @modelcontextprotocol/inspector
  1. Start the inspector:
   npx @modelcontextprotocol/inspector java -jar /path/to/mcp-jdbc-server/MCPServer-1.0.0-runner.jar

Access the URL returned by the inspector to troubleshoot MCP server interactions.

MCP Inspector Connecting to additional Drivers

For basic MCP client use and troubleshooting, use the MCP Inspector as follows:

  1. Install the JDBC Driver(s), ensuring their JAR files are registered with the host operating system's Java Virtual Machine (JVM) via $CLASSPATH. For instance:
    export CLASSPATH=$CLASSPATH:/path/to/driver1.jar:/path/to/driver2.jar:/path/to/driverN.jar
  1. Start the inspector using the following command-line arguments:
   npx @modelcontextprotocol/inspector java -cp MCPServer-1.0.0-runner.jar:/path/to/driver1.jar:/path/to/driver2.jar:/path/to/driverN.jar io.quarkus.runner.GeneratedMain

Use Example based on Oracle and Informix Drivers

  1. Assuming the following JDBC Driver information:
  • Oracle JDBC Driver URL Template
     jdbc:oracle:thin:@<hostname>:[port]:<SERVICEID>
  • Informix JDBC Driver URL Template
     jdbc:informix-sqli://<hostname>:<port>/<database></database>:<INFORMIXSERVER>=<SERVICEID>
  1. Install the Oracle (ojdbc17.jar) and/or Informix (jdbc-15.0.0.1.1.jar) JDBC Drivers, and ensure their JAR files are registered with the host operating system's Java Virtual Machine (JVM) via $CLASSPATH. For instance:
    export CLASSPATH=$CLASSPATH:/path/to/Java/Extensions/jdbc-15.0.0.1.1.jar
    export CLASSPATH=$CLASSPATH:/path/to/Java/Extensions/ojdbc17.jar
  1. Start the inspector using the following command-line arguments:
   npx @modelcontextprotocol/inspector java -cp MCPServer-1.0.0-runner.jar:/path/to/Java/Extensions/ojdbc17.jar:/path/to/Java/Extensions/jdbc-15.0.0.1.1.jar io.quarkus.runner.GeneratedMain
  1. Access the URL returned by the inspector and then use the jdbc_execute_query operation to query the target database, by providing actual values for the following input field templates:
  • JDBC URL
  • User
  • Password
  • Query

See related servers & alternatives →

Related MCP servers

Browse all →

Related guides

Hand-picked reading to help you choose and use Databases servers.