OpenLink MCP JDBC 服务器
语言类型:英语 翻译结果:适用于 JDBC 的 OpenLink MCP 服务器
服务介绍
基于 Java 的 Model Context 协议 (MCP) 服务器用于 JDBC
一个使用 Quakrus 构建的轻量级 MCP(Model Context Protocol)服务器,适用于 JDBC。该服务器与 Virtuoso DBMS 及其他具有 JDBC 驱动程序的数据库后端兼容。

特性
- 获取模式: 从连接的数据库中获取并列出所有模式名称。
- 获取表: 检索特定模式或所有模式的表信息。
- 描述表: 生成表结构的详细描述,包括:
- 列名和数据类型
- 可空属性
- 主键和外键
- 搜索表: 根据名称子串过滤并检索表。
- 执行存储过程: 在 Virtuoso 的情况下,执行存储过程并检索结果。
- 执行查询:
- JSONL 结果格式:优化为结构化响应。
- Markdown 表格格式:适用于报告和可视化。
先决条件
MCP 服务器需要 Java 21 或更高版本。
安装
克隆此仓库:
git clone https://github.com/OpenLinkSoftware/mcp-jdbc-server.git
cd mcp-jdbc-server
环境变量
通过覆盖默认值来更新您的 .env 文件以匹配您的偏好
jdbc.url=jdbc:virtuoso://localhost:1111
jdbc.user=dba
jdbc.password=dba
jdbc.api_key=xxx
配置
对于 Claude Desktop 用户:
在 claude_desktop_config.json 中添加以下内容:
{
"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"
}
}
}
}
使用
提供的工具
成功安装后,将向 MCP 客户端应用程序提供以下工具。
概览
| 名称 | 描述 |
|---|---|
| jdbc_get_schemas | 列出连接到数据库管理系统 (DBMS) 的可访问数据库模式。 |
| jdbc_get_tables | 列出与选定数据库模式关联的表。 |
| jdbc_describe_table | 提供与指定数据库模式关联的表的描述。这包括列名、数据类型、空值处理、自动递增、主键和外键的信息。 |
| jdbc_filter_table_names | 根据 q 输入字段中的子串模式列出与选定数据库模式关联的表。 |
| jdbc_query_database | 执行 SQL 查询并以 JSONL 格式返回结果。 |
| jdbc_execute_query | 执行 SQL 查询并以 JSONL 格式返回结果。 |
| jdbc_execute_query_md | 执行 SQL 查询并以 Markdown 表格格式返回结果。 |
| jdbc_spasql_query | 执行 SPASQL 查询并返回结果。 |
| jdbc_sparql_query | 执行 SPARQL 查询并返回结果。 |
| jdbc_virtuoso_support_ai | 与 Virtuoso 支持助手/代理交互——这是 Virtuoso 特有的功能,用于与大型语言模型 (LLMs) 交互 |
详细描述
-
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
- Execute a SPASQL (SQL/SPARQL hybrid) query return results. This is a Virtuoso-specific feature.
- 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.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
- Execute a SPARQL query and return results. This is a Virtuoso-specific feature.
- 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.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
- Utilizes a Virtuoso-specific AI Assistant function, passing a prompt and optional API key. This is a Virtuoso-specific feature.
- 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).
故障排除
为了方便故障排除,请按照以下步骤操作:
-
安装 MCP Inspector:
npm install -g @modelcontextprotocol/inspector -
启动检查器:
npx @modelcontextprotocol/inspector java -jar /path/to/mcp-jdbc-server/MCPServer-1.0.0-runner.jar
访问提供的 URL 以排查服务器交互问题。