"A server for converting NLP to SQL for business analytics with ClickHouse" matching MCP servers:

ClickHouse database integration with schema inspection and query capabilities

Enables AI assistants to query and manage ClickHouse databases, supporting SELECT queries, DDL/DML statements, and metadata listing.

Enables AI assistants to query PostgreSQL, MySQL, SQL Server, Oracle, and MongoDB databases through MCP with read-only, audited access.

Enables MCP clients such as GitHub Copilot, Codex, Claude... to explore a SQL Server 2017+ database read-only: databases, schemas, tables, views, procedures, functions, indexes and dependency graphs, plus filtered, grouped, sampled and paginated queries capped by row limits.

Provides AI agents safe, read-only access to a ClickHouse database, enabling table listing, query execution, schema inspection, and caching.

Read-only MCP server for ClickHouse that allows listing databases and tables, describing schemas, and running SELECT queries.

An MCP server for ClickHouse with enhanced filtering for database and table discovery, supporting LIKE/NOT LIKE patterns and both ClickHouse and chDB tools.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

An MCP server implementation that enables Claude AI to interact with Clickhouse databases. Features include secure database connections, query execution, read-only mode support, and multi-query capabilities.

NLP without the bloat — 45 tools for sentiment, keywords, readability, summarization. Zero heavy dependencies. 42KB wheel.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.

MCP server that launches Mesen/MesenCE headlessly and exposes the emulator's debugger-face Lua API over MCP JSON-RPC, enabling AI agents to load ROMs, step frames, inspect memory/registers, manage breakpoints/watches, trace execution, and export Code/Data Logger maps for SNES, NES, PC Engine, and Game Boy Advance.

Enables SQL query execution on ClickHouse databases with per-request connection switching via HTTP headers, supporting multi-tenant deployments.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Enables OpenAI-compatible clients to access external tools, APIs, repositories, and data sources through MCP with allowlisting, approval, and argument validation, deployable as a FastAPI service or Python library.

Enables interaction with ClickHouse databases via MCP, providing tools to list databases and tables and execute safe SELECT, SHOW, and DESCRIBE queries.

Enables MCP-compatible AI clients to inspect Godot project and editor state, observe opted-in running scenes, manage processes, and apply permission-scoped guarded edits. It starts read-only and exposes additional capabilities only through explicit command-line flags.

MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.