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PostgreSQL MCP Server

pg_manage_indexes

Manage PostgreSQL database indexes to list, create, remove, rebuild, and analyze performance. Optimize queries by identifying unused or duplicate indexes.

Instructions

Manage PostgreSQL indexes - get, create, drop, reindex, and analyze usage with a single tool. Examples: operation="get" to list indexes, operation="create" with indexName, tableName, columns, operation="analyze_usage" for performance analysis

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
connectionStringNoPostgreSQL connection string (optional)
operationYesOperation: get (list indexes), create (new index), drop (remove index), reindex (rebuild), analyze_usage (find unused/duplicate)
schemaNoSchema name (defaults to public)
tableNameNoTable name (optional for get/analyze_usage, required for create)
indexNameNoIndex name (required for create/drop)
includeStatsNoInclude usage statistics (for get operation)
columnsNoColumn names for the index (required for create operation)
uniqueNoCreate unique index (for create operation)
concurrentNoCreate/drop index concurrently (for create/drop operations)
methodNoIndex method (for create operation, defaults to btree)
whereNoWHERE clause for partial index (for create operation)
ifNotExistsNoInclude IF NOT EXISTS clause (for create operation)
ifExistsNoInclude IF EXISTS clause (for drop operation)
cascadeNoInclude CASCADE clause (for drop operation)
targetNoTarget name for reindex (required for reindex operation)
typeNoType of target for reindex (required for reindex operation)
minSizeBytesNoMinimum index size in bytes (for analyze_usage operation)
showUnusedNoInclude unused indexes (for analyze_usage operation)
showDuplicatesNoDetect duplicate indexes (for analyze_usage operation)

Implementation Reference

  • The pg_manage_indexes tool handler. This consolidated tool handles multiple index operations (get, create, drop, reindex, analyze_usage) by dispatching to internal helper functions defined in the same file.
    export const manageIndexesTool: PostgresTool = { name: 'pg_manage_indexes', description: 'Manage PostgreSQL indexes - get, create, drop, reindex, and analyze usage with a single tool. Examples: operation="get" to list indexes, operation="create" with indexName, tableName, columns, operation="analyze_usage" for performance analysis', inputSchema: z.object({ connectionString: z.string().optional().describe('PostgreSQL connection string (optional)'), operation: z.enum(['get', 'create', 'drop', 'reindex', 'analyze_usage']).describe('Operation: get (list indexes), create (new index), drop (remove index), reindex (rebuild), analyze_usage (find unused/duplicate)'), // Common parameters schema: z.string().optional().describe('Schema name (defaults to public)'), tableName: z.string().optional().describe('Table name (optional for get/analyze_usage, required for create)'), indexName: z.string().optional().describe('Index name (required for create/drop)'), // Get operation parameters includeStats: z.boolean().optional().describe('Include usage statistics (for get operation)'), // Create operation parameters columns: z.array(z.string()).optional().describe('Column names for the index (required for create operation)'), unique: z.boolean().optional().describe('Create unique index (for create operation)'), concurrent: z.boolean().optional().describe('Create/drop index concurrently (for create/drop operations)'), method: z.enum(['btree', 'hash', 'gist', 'spgist', 'gin', 'brin']).optional().describe('Index method (for create operation, defaults to btree)'), where: z.string().optional().describe('WHERE clause for partial index (for create operation)'), ifNotExists: z.boolean().optional().describe('Include IF NOT EXISTS clause (for create operation)'), // Drop operation parameters ifExists: z.boolean().optional().describe('Include IF EXISTS clause (for drop operation)'), cascade: z.boolean().optional().describe('Include CASCADE clause (for drop operation)'), // Reindex operation parameters target: z.string().optional().describe('Target name for reindex (required for reindex operation)'), type: z.enum(['index', 'table', 'schema', 'database']).optional().describe('Type of target for reindex (required for reindex operation)'), // Analyze usage parameters minSizeBytes: z.number().optional().describe('Minimum index size in bytes (for analyze_usage operation)'), showUnused: z.boolean().optional().describe('Include unused indexes (for analyze_usage operation)'), showDuplicates: z.boolean().optional().describe('Detect duplicate indexes (for analyze_usage operation)') }), // biome-ignore lint/suspicious/noExplicitAny: <explanation> execute: async (args: any, getConnectionStringVal: GetConnectionStringFn): Promise<ToolOutput> => { const { connectionString: connStringArg, operation, schema, tableName, indexName, includeStats, columns, unique, concurrent, method, where, ifNotExists, ifExists, cascade, target, type, minSizeBytes, showUnused, showDuplicates } = args as { connectionString?: string; operation: 'get' | 'create' | 'drop' | 'reindex' | 'analyze_usage'; schema?: string; tableName?: string; indexName?: string; includeStats?: boolean; columns?: string[]; unique?: boolean; concurrent?: boolean; method?: 'btree' | 'hash' | 'gist' | 'spgist' | 'gin' | 'brin'; where?: string; ifNotExists?: boolean; ifExists?: boolean; cascade?: boolean; target?: string; type?: 'index' | 'table' | 'schema' | 'database'; minSizeBytes?: number; showUnused?: boolean; showDuplicates?: boolean; }; try { switch (operation) { case 'get': { const result = await executeGetIndexes({ connectionString: connStringArg, schema: schema ?? 'public', tableName, includeStats: includeStats ?? true }, getConnectionStringVal); const message = tableName ? `Indexes for table ${tableName}` : `Indexes in schema ${schema ?? 'public'}`; return { content: [{ type: 'text', text: `${message}\n${JSON.stringify(result, null, 2)}` }] }; } case 'create': { if (!indexName || !tableName || !columns || columns.length === 0) { return { content: [{ type: 'text', text: 'Error: indexName, tableName, and columns are required for create operation' }], isError: true }; } const result = await executeCreateIndex({ connectionString: connStringArg, indexName, tableName, columns, schema: schema ?? 'public', unique: unique ?? false, concurrent: concurrent ?? false, method: method ?? 'btree', where, ifNotExists: ifNotExists ?? true }, getConnectionStringVal); return { content: [{ type: 'text', text: `Index ${result.indexName} created successfully. Details: ${JSON.stringify(result)}` }] }; } case 'drop': { if (!indexName) { return { content: [{ type: 'text', text: 'Error: indexName is required for drop operation' }], isError: true }; } const result = await executeDropIndex({ connectionString: connStringArg, indexName, schema: schema ?? 'public', concurrent: concurrent ?? false, ifExists: ifExists ?? true, cascade: cascade ?? false }, getConnectionStringVal); return { content: [{ type: 'text', text: `Index ${result.indexName} dropped successfully. Details: ${JSON.stringify(result)}` }] }; } case 'reindex': { if (!target || !type) { return { content: [{ type: 'text', text: 'Error: target and type are required for reindex operation' }], isError: true }; } const result = await executeReindex({ connectionString: connStringArg, target, type, schema: schema ?? 'public', concurrent: concurrent ?? false }, getConnectionStringVal); return { content: [{ type: 'text', text: `Reindex completed successfully for ${result.type} ${result.target}. Details: ${JSON.stringify(result)}` }] }; } case 'analyze_usage': { const result = await executeAnalyzeIndexUsage({ connectionString: connStringArg, schema: schema ?? 'public', tableName, minSizeBytes, showUnused: showUnused ?? true, showDuplicates: showDuplicates ?? true }, getConnectionStringVal); return { content: [{ type: 'text', text: JSON.stringify(result, null, 2) }] }; } default: return { content: [{ type: 'text', text: `Error: Unknown operation "${operation}". Supported operations: get, create, drop, reindex, analyze_usage` }], isError: true }; } } catch (error) { const errorMessage = error instanceof McpError ? error.message : (error instanceof Error ? error.message : String(error)); return { content: [{ type: 'text', text: `Error executing ${operation} operation: ${errorMessage}` }], isError: true }; } } };
  • Input schema definition for the pg_manage_indexes tool using Zod, supporting parameters for all supported operations.
    inputSchema: z.object({ connectionString: z.string().optional().describe('PostgreSQL connection string (optional)'), operation: z.enum(['get', 'create', 'drop', 'reindex', 'analyze_usage']).describe('Operation: get (list indexes), create (new index), drop (remove index), reindex (rebuild), analyze_usage (find unused/duplicate)'), // Common parameters schema: z.string().optional().describe('Schema name (defaults to public)'), tableName: z.string().optional().describe('Table name (optional for get/analyze_usage, required for create)'), indexName: z.string().optional().describe('Index name (required for create/drop)'), // Get operation parameters includeStats: z.boolean().optional().describe('Include usage statistics (for get operation)'), // Create operation parameters columns: z.array(z.string()).optional().describe('Column names for the index (required for create operation)'), unique: z.boolean().optional().describe('Create unique index (for create operation)'), concurrent: z.boolean().optional().describe('Create/drop index concurrently (for create/drop operations)'), method: z.enum(['btree', 'hash', 'gist', 'spgist', 'gin', 'brin']).optional().describe('Index method (for create operation, defaults to btree)'), where: z.string().optional().describe('WHERE clause for partial index (for create operation)'), ifNotExists: z.boolean().optional().describe('Include IF NOT EXISTS clause (for create operation)'), // Drop operation parameters ifExists: z.boolean().optional().describe('Include IF EXISTS clause (for drop operation)'), cascade: z.boolean().optional().describe('Include CASCADE clause (for drop operation)'), // Reindex operation parameters target: z.string().optional().describe('Target name for reindex (required for reindex operation)'), type: z.enum(['index', 'table', 'schema', 'database']).optional().describe('Type of target for reindex (required for reindex operation)'), // Analyze usage parameters minSizeBytes: z.number().optional().describe('Minimum index size in bytes (for analyze_usage operation)'), showUnused: z.boolean().optional().describe('Include unused indexes (for analyze_usage operation)'), showDuplicates: z.boolean().optional().describe('Detect duplicate indexes (for analyze_usage operation)') }),
  • src/index.ts:225-257 (registration)
    Registration of the manageIndexesTool (pg_manage_indexes) in the central allTools array, which is passed to the PostgreSQLServer constructor to make it available to the MCP server.
    const allTools: PostgresTool[] = [ // Core Analysis & Debugging analyzeDatabaseTool, debugDatabaseTool, // Schema & Structure Management (Meta-Tools) manageSchemaTools, manageFunctionsTool, manageTriggersTools, manageIndexesTool, manageConstraintsTool, manageRLSTool, // User & Security Management manageUsersTool, // Query & Performance Management manageQueryTool, // Data Operations (Enhancement Tools) executeQueryTool, executeMutationTool, executeSqlTool, // Documentation & Metadata manageCommentsTool, // Data Migration & Monitoring exportTableDataTool, importTableDataTool, copyBetweenDatabasesTool, monitorDatabaseTool ];
  • src/index.ts:26-32 (registration)
    Import statement for the manageIndexesTool from src/tools/indexes.js
    import { manageIndexesTool } from './tools/indexes.js'; import { manageQueryTool } from './tools/query.js'; import { manageUsersTool } from './tools/users.js'; import { manageConstraintsTool } from './tools/constraints.js'; import { executeQueryTool, executeMutationTool, executeSqlTool } from './tools/data.js'; import { manageCommentsTool } from './tools/comments.js';
  • Helper function executeGetIndexes used by pg_manage_indexes for the 'get' operation.
    async function executeGetIndexes( input: GetIndexesInput, getConnectionString: GetConnectionStringFn ): Promise<IndexInfo[] | IndexUsageStats[]> { const resolvedConnectionString = getConnectionString(input.connectionString); const db = DatabaseConnection.getInstance(); const { schema, tableName, includeStats } = input; try { await db.connect(resolvedConnectionString); if (includeStats) { const statsQuery = ` SELECT schemaname, tablename, indexname, idx_scan as scans, idx_tup_read as tuples_read, idx_tup_fetch as tuples_fetched, pg_relation_size(indexrelname::regclass) as size_bytes, pg_size_pretty(pg_relation_size(indexrelname::regclass)) as size_pretty, indisunique as is_unique, indisprimary as is_primary, CASE WHEN idx_scan = 0 THEN 0 ELSE round((idx_tup_fetch::numeric / idx_tup_read::numeric) * 100, 2) END as usage_ratio FROM pg_stat_user_indexes psi JOIN pg_index pi ON psi.indexrelid = pi.indexrelid WHERE schemaname = $1 ${tableName ? 'AND tablename = $2' : ''} ORDER BY size_bytes DESC, scans DESC `; const params = tableName ? [schema, tableName] : [schema]; const results = await db.query<IndexUsageStats>(statsQuery, params); return results; } const basicQuery = ` SELECT schemaname, tablename, indexname, indexdef, pg_size_pretty(pg_relation_size(indexname::regclass)) as size FROM pg_indexes WHERE schemaname = $1 ${tableName ? 'AND tablename = $2' : ''} ORDER BY tablename, indexname `; const params = tableName ? [schema, tableName] : [schema]; const results = await db.query<IndexInfo>(basicQuery, params); return results; } catch (error) { throw new McpError(ErrorCode.InternalError, `Failed to get indexes: ${error instanceof Error ? error.message : String(error)}`); } finally { await db.disconnect(); } }

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