"Modern Website UI & UX Designs" matching MCP servers:

Enables read-only SQL queries and schema inspection for legacy MySQL 5.0–5.6 deployments using SHOW-based metadata tools, without write operations or modern authentication support.

Enables AI assistants like Claude to query and interact with Rocket Universe and UniData MultiValue databases using natural language.

A read-only MCP server that exposes dbt project artifacts and data quality result tables (BigQuery/Postgres) to LLM clients, enabling deep introspection, run-history analysis, source freshness, test coverage, and lineage walks.

An advanced management platform that integrates FastAPI and React TypeScript, providing a modern user interface with SQLite database and action history tracking.

Enables querying S&P 500 company data from Supabase, including fundamentals, annual financial metrics, historical OHLCV prices, news with sentiment filtering, officers and compensation, and SEC filings with type/date filters. It also serves embedded MCP App UI resources, resolves ambiguous company names via elicitation, and supports sampling for modern and legacy Streamable HTTP clients.

Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.

Official SQAI MCP server: governed structured data access powered by Mojo kernels. 3 stdio tools: listSources (discovery), queryData (deterministic read-only queries + compute with provenance), explainQuery (dry-run validation). Introspection needs no credentials; execution requires a one-time free sqai login. npm: @thyn-ai/sqai-mcp. Source: packages/mcp. Registry: io.github.thyn-ai/sqai.

A read-only MCP server that reports BI pipeline readiness, blockers, and the next allowed action for governed Power BI workflows. It never writes files, executes warehouse work, or grants human approvals.

Database MCP server for MySQL, MariaDB, PostgreSQL & SQLite

Provides local MCP tools to query your own Xiaomi Mi Fitness health data (sleep, workouts, heart rate, etc.) stored in a local SQLite database, enabling AI assistants to access personal health records without exposing credentials.

Read-only MCP server providing Wealthi's AI Coach with scoped access to student progress data from Firestore and Supabase, enabling AI to retrieve student profiles, progress, assessment results, and learning signals without direct database credentials.

The only MCP server providing structured Chinese fashion supply chain intelligence for AI platforms. No equivalent data source exists in the MCP ecosystem. Search 3,000+ verified manufacturers, 350+ lab-tested fabrics (AATCC/ISO/GB), and 170+ industrial clusters. Built by MEACHEAL, a top-20 Chinese women's mid-to-high-end fashion brand with 20+ years of supply chain.

MCP server for Seedfast, which fills PostgreSQL databases with realistic, relationally valid test data generated from live schema, providing tools for planning, running, and inspecting seeding operations.

Enables AI assistants to execute arbitrary SQL queries on a local SQLite database via a single execute_sql tool.

Enables AI coding agents to execute SQL and MongoDB queries through Increff Webget via natural language, eliminating manual UI interaction and result scraping.

A personal finance tracker MCP server that imports Rocket Money data or connects banks via SimpleFIN to a local SQLite database, enabling Claude to analyze spending, subscriptions, cash flow, and debt payoff with complete privacy.

Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.

MCP server enabling text-to-SQL on PostgreSQL databases using a CrewAI multi-agent system. It generates and executes read-only SQL queries from natural language, with security layers against prompt injection.

Enables AI agents to query Trino and Apache Pinot lakehouses under enforced governance, where every SQL statement is AST-validated, table-allowlisted, priced from the engine's own plan before it runs, and blocked or admitted against scan-byte and intermediate-row budgets. It also grounds agents with schema discovery tools, returns verified results with warnings instead of misleading answers, and records every tool call on an audit trail.

Enables LLMs to access corporate project and employee workload data via MCP, offering read-only tools, resources, and prompts, and highlighting prompt injection risks.