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37 MCP servers and Agent skills related to sql, each with install commands, source and popularity data, ready to paste into Cursor, Claude Code and other clients.

Critical Code Reviewer

v0.1.0

SkillClawHub6.6k

io.clawhub.ziad-hsn/critical-code-reviewer

Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.

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SQL

v1.0.4

SkillClawHub5.2k

io.clawhub.ivangdavila/sql

Writes, reviews, and optimizes SQL queries; designs schemas, indexes, and constraints; plans migrations for any relational database. Use when a query is slow, EXPLAIN shows a sequential scan, or an index is ignored; when rows come back duplicated, missing, or with inflated totals after a JOIN; on deadlocks, lock timeouts, "too many connections", or transactions that never commit; when designing tables, keys, and column types, normalizing or denormalizing a model, or deciding between a JSON column and real columns; for ALTER TABLE on a live table, expand-migrate-contract rollouts, backups and restores, replication lag, connection pooling, partitioning, bulk CSV imports, and moving data between engines; for window functions, CTEs, keyset pagination, upserts, full-text search, multi-tenancy, row-level security, and timezone handling in MySQL, SQLite, MariaDB, or SQL Server. Not for PostgreSQL server internals such as vacuum tuning and work_mem sizing, and not for ORM schema modeling inside a framework.

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Vector Memory Hack

v1.0.3

SkillClawHub4.1k

io.clawhub.mig6671/vector-memory-hack

Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant context before starting a task, (2) Search through large memory files efficiently, (3) Retrieve specific rules or decisions without reading entire files, (4) Enable semantic similarity search instead of keyword matching. Lightweight alternative to heavy embedding models - zero external dependencies, <10ms search time.

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Nodejs Patterns

v1.0.0

SkillClawHub3.5k

io.clawhub.wpank/nodejs-patterns

WHAT: Production-ready Node.js backend patterns - Express/Fastify setup, layered architecture, middleware, error handling, validation, database integration, authentication, and caching. WHEN: User is building REST APIs, setting up Node.js servers, implementing authentication, integrating databases, adding validation/caching, or structuring backend applications. KEYWORDS: nodejs, node, express, fastify, typescript, api, rest, middleware, authentication, jwt, validation, zod, postgres, mongodb, redis, caching, rate limiting, error handling

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Fly.io CLI

v1.0.3

SkillClawHub3.4k

io.clawhub.justinburdett/flyio-cli

Use the Fly.io flyctl CLI for deploying and operating apps on Fly.io. Default to read-only diagnostics (status/logs/config/releases). Only perform state-changing operations (deploys, SSH exec, secrets, scaling, machines, volumes, Postgres changes) with explicit user approval. Use when asked to deploy to Fly.io, debug fly deploy/build/runtime failures, set up GitHub Actions deploys/previews, or safely manage Fly apps and Postgres.

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观远 BI · 马甲实战版

v3.2.3

SkillClawHub3.4k

io.clawhub.maojiebc/guanyuan-majia

观远 BI(Guandata)实战增益层。标准查数、指标批量查询、本地分析、建卡发布、ETL、数据集和表单结构管理、工作流、指标写入路由官方六组件。专攻 ETL 整库治理、SmartETL 全链路重写、引擎报错、自定义图表与 HTML 看板排障、v7 发布兼容、移动端 phoneLayout、门店手机成绩单、SuperApp 的 LLM 中转及历史兼容、AI-native ADS 架构判断。餐饮会员公式见 majia-huiyuan。触发:观远、Guandata、会员、订单、复购率、RFM、ETL 治理、payload_json、自定义图表、HTML 看板、门店手机成绩单、换店滤空、phoneLayout、60004、SuperApp、ILLEGAL_JSON_RES、数据架构。

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Engram

v0.2.0

SkillClawHub2.5k

io.clawhub.dannydvm/engram

Persistent semantic memory layer for AI agents. Local-first storage (SQLite+LanceDB) with Ollama embeddings. Store and recall facts, decisions, preferences, events, relationships across sessions. Supports memory decay, deduplication, typed memories (5 types), memory relationships (7 graph relation types), agent/user scoping, semantic search, context-aware recall, auto-extraction from text (rules/LLM/hybrid), import/export, REST API, MCP protocol. Solves context window and compaction amnesia. Server at localhost:3400, dashboard at /dashboard. Install via npm (engram-memory), requires Ollama with nomic-embed-text model.

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Related tags

sql MCP Servers & Skills Collection - AgentHub