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Google Cloud MCP Server

by krzko

gcp-spanner-execute-query

Execute SQL queries on Google Cloud Spanner databases to retrieve, update, or manage data through the Google Cloud MCP Server.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYesThe SQL query to execute
instanceIdNoSpanner instance ID (defaults to SPANNER_INSTANCE env var)
databaseIdNoSpanner database ID (defaults to SPANNER_DATABASE env var)
paramsNoQuery parameters

Implementation Reference

  • Main execution logic for the gcp-spanner-execute-query tool. Retrieves Spanner client and config, executes the SQL query with optional parameters, formats results as a markdown table (limited to 100 rows), and handles errors by throwing.
    async ({ sql, instanceId, databaseId, params }, _extra) => { try { const projectId = await getProjectId(); const config = await getSpannerConfig( Array.isArray(instanceId) ? instanceId[0] : instanceId, Array.isArray(databaseId) ? databaseId[0] : databaseId, ); const spanner = await getSpannerClient(); logger.debug( `Using Spanner client with project ID: ${spanner.projectId} for execute-spanner-query`, ); const instance = spanner.instance(config.instanceId); const database = instance.database(config.databaseId); // Execute the query const [result] = await database.run({ sql, params: params || {}, }); if (!result || result.length === 0) { return { content: [ { type: "text", text: `# Query Results\n\nProject: ${projectId}\nInstance: ${config.instanceId}\nDatabase: ${config.databaseId}\n\nQuery executed successfully. No results returned.`, }, ], }; } // Convert to markdown table const columns = Object.keys(result[0]); let markdown = `# Query Results\n\nProject: ${projectId}\nInstance: ${config.instanceId}\nDatabase: ${config.databaseId}\n\n`; markdown += `SQL: \`${sql}\`\n\n`; markdown += `Rows: ${result.length}\n\n`; // Table header markdown += "| " + columns.join(" | ") + " |\n"; markdown += "| " + columns.map(() => "---").join(" | ") + " |\n"; // Table rows (limit to 100 rows for display) const displayRows = result.slice(0, 100); for (const row of displayRows) { const rowValues = columns.map((col) => { const value = (row as any)[col]; if (value === null || value === undefined) return "NULL"; if (typeof value === "object") return JSON.stringify(value); return String(value); }); markdown += "| " + rowValues.join(" | ") + " |\n"; } if (result.length > 100) { markdown += "\n*Results truncated. Showing 100 of " + result.length + " rows.*"; } return { content: [ { type: "text", text: markdown, }, ], }; } catch (error: any) { logger.error( `Error executing Spanner query: ${error instanceof Error ? error.message : String(error)}`, ); throw error; }
  • Zod input schema defining parameters for the tool: required SQL query, optional instanceId/databaseId (default from env vars), optional params object.
    { sql: z.string().describe("The SQL query to execute"), instanceId: z .string() .optional() .describe("Spanner instance ID (defaults to SPANNER_INSTANCE env var)"), databaseId: z .string() .optional() .describe("Spanner database ID (defaults to SPANNER_DATABASE env var)"), params: z .record(z.string(), z.any()) .optional() .describe("Query parameters"), },
  • Direct registration of the gcp-spanner-execute-query tool on the MCP server within registerSpannerTools function.
    "gcp-spanner-execute-query", { sql: z.string().describe("The SQL query to execute"), instanceId: z .string() .optional() .describe("Spanner instance ID (defaults to SPANNER_INSTANCE env var)"), databaseId: z .string() .optional() .describe("Spanner database ID (defaults to SPANNER_DATABASE env var)"), params: z .record(z.string(), z.any()) .optional() .describe("Query parameters"), }, async ({ sql, instanceId, databaseId, params }, _extra) => { try { const projectId = await getProjectId(); const config = await getSpannerConfig( Array.isArray(instanceId) ? instanceId[0] : instanceId, Array.isArray(databaseId) ? databaseId[0] : databaseId, ); const spanner = await getSpannerClient(); logger.debug( `Using Spanner client with project ID: ${spanner.projectId} for execute-spanner-query`, ); const instance = spanner.instance(config.instanceId); const database = instance.database(config.databaseId); // Execute the query const [result] = await database.run({ sql, params: params || {}, }); if (!result || result.length === 0) { return { content: [ { type: "text", text: `# Query Results\n\nProject: ${projectId}\nInstance: ${config.instanceId}\nDatabase: ${config.databaseId}\n\nQuery executed successfully. No results returned.`, }, ], }; } // Convert to markdown table const columns = Object.keys(result[0]); let markdown = `# Query Results\n\nProject: ${projectId}\nInstance: ${config.instanceId}\nDatabase: ${config.databaseId}\n\n`; markdown += `SQL: \`${sql}\`\n\n`; markdown += `Rows: ${result.length}\n\n`; // Table header markdown += "| " + columns.join(" | ") + " |\n"; markdown += "| " + columns.map(() => "---").join(" | ") + " |\n"; // Table rows (limit to 100 rows for display) const displayRows = result.slice(0, 100); for (const row of displayRows) { const rowValues = columns.map((col) => { const value = (row as any)[col]; if (value === null || value === undefined) return "NULL"; if (typeof value === "object") return JSON.stringify(value); return String(value); }); markdown += "| " + rowValues.join(" | ") + " |\n"; } if (result.length > 100) { markdown += "\n*Results truncated. Showing 100 of " + result.length + " rows.*"; } return { content: [ { type: "text", text: markdown, }, ], }; } catch (error: any) { logger.error( `Error executing Spanner query: ${error instanceof Error ? error.message : String(error)}`, ); throw error; } }, );
  • src/index.ts:170-170 (registration)
    Top-level invocation of registerSpannerTools in main server setup, which registers the Spanner tools including gcp-spanner-execute-query.
    registerSpannerTools(server);
  • Helper function used in the handler to determine Spanner instanceId and databaseId from parameters or environment variables.
    export async function getSpannerConfig( instanceId?: string, databaseId?: string, ): Promise<{ instanceId: string; databaseId: string }> { const instance = instanceId || process.env.SPANNER_INSTANCE; const database = databaseId || process.env.SPANNER_DATABASE; if (!instance) { throw new GcpMcpError( "Spanner instance ID not provided. Set SPANNER_INSTANCE environment variable or provide instanceId parameter.", "INVALID_ARGUMENT", 400, ); } if (!database) { throw new GcpMcpError( "Spanner database ID not provided. Set SPANNER_DATABASE environment variable or provide databaseId parameter.", "INVALID_ARGUMENT", 400, ); } return { instanceId: instance, databaseId: database }; }

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