Best Ql AI Skills & MCP Servers

GraphQL-style codebase intelligence CLI — index, query, and analyze any codebase

Alaya MCP Server — a memory engine for AI agents that remembers, forgets, and learns

MCP server for interacting with MySQL databases with write operations support (fork with BIGINT precision fix)

MCP server for interacting with Turso-hosted LibSQL databases

MCP server for WordPress database access via Local by Flywheel

MCP server for interacting with MySQL databases with write operations support

MCP server for interacting with MySQL databases with write operations support (modified from @marco/mcp-server-mysql)

MCP server for the Coalesce Catalog Public GraphQL API; covers tables, columns, dashboards, lineage, governance, and asset metadata across the warehouse and BI layer.

Local message bus that lets Claude Code, Codex and other MCP agents talk to each other through one SQLite file.

Complete MCP suite for Java backend developers — database analysis, JVM diagnostics, migration risk, Spring Boot actuator analysis, and Redis diagnostics

Native Node.js/TypeScript implementation of DuckDB MCP extension

MCP server: persistent memory, compaction, semantic recall (Node.js port)

🐉 Wyrm — the memory layer that makes AI assistants remember, learn from failures, execute long-running goals, and federate across every session. MCP server with 126 tools across persistent memory, counter-pattern blocking, OODA agent loop, knowledge grap

MySQL MCP server for executing SELECT queries

A Model Context Protocol server providing tools for HTTP requests, GraphQL queries, WebSocket connections, and browser automation

A Model Context Protocol server for PostgreSQL database operations

MCP CosmosDB - Azure CosmosDB MCP Server for database analysis and operations

MCP server: search + execute OpenAPI/Discovery APIs (internal GraphQL projection), optional native GraphQL HTTP and gRPC unary sources

A lightweight MCP client library for TypeScript with durable sessions across Redis, Supabase, Neon, and SQLite, cross-runtime agent support, and dynamic tool discovery to reduce LLM context usage.

HSA - Hierarchical Semantic Analysis MCP Server for AI Code Agents. Token-optimized context engine with BM25+ search, Merkle tree change detection, 84+ built-in library docs, persistent memory, and real-time dashboard.

MCP-first SKILL.md routing for AI agents: local embeddings, SQLite sessions and telemetry, optional LLM rerank paths, regex route policies and project overlays, companion conversation preset, parity CLI.

BLACK_WALL MCP server — a pre-action risk check your AI agent calls before any irreversible action (send email, move money, run SQL, delete data).

Shared core library for MSSQL MCP servers - tools, config, routing, and server harness

MCP server for accessing Aha! GraphQL API