"A resource for designing user interfaces" matching MCP servers:

Serves read-mostly MCP tools across ten mock verticals and investment use cases, each backed by bundled SQLite databases, with optional proxying of investment tools to a user-supplied banking API. It enables clients to query realistic vertical data through OAuth-protected MCP endpoints over HTTP or WebSocket.

A read-only MCP server for Anaplan that exposes 5 tools for business users to explore data through an AI assistant, with session caching and metadata gating.

This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

An MCP server providing tools for user information management with capabilities for retrieving, searching, and adding user data stored in a JSON file.

A Model Context Protocol server demonstrating user management capabilities with tools for creating, retrieving, and generating random user data.

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.

Experimental read-only MCP for Supabase application data: memory_search, memory_get and memory_list_recent under user-bound PostgreSQL RLS. Setup and demo: https://github.com/jryski/Supabase_user_MCP/blob/main/docs/GETTING_STARTED.md . Public preview is POSIX-only and synthetic-only; native Windows, hosted OAuth, one-click installation and writes are not available.

Enables AI-compatible MCP clients to create, retrieve, update, and delete user records through five MCP tools, plus a guide resource and a prompt that auto-generates and saves random users. User data is validated with Zod and persisted in a JSON file behind a Streamable HTTP endpoint.

Provides tools for listing and querying Azure resources directly from any MCP client, allowing you to efficiently browse your Azure infrastructure and analyze costs without leaving your workflow.

Enables Claude Desktop to interact with PostgreSQL databases through natural language for schema exploration, data analysis, and query execution. Users can search schemas, describe tables, and perform read or write operations without needing to write manual SQL.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

Community MCP server for Airtable that provides 30 tools for managing Airtable bases. Uses Airtable's internal API to support capabilities not available through the official REST API:

An MCP server hosted on AWS Lambda that provides tools for retrieving user profiles and loan details via API Gateway. It enables GPT models to interact with structured user and financial data using the Streamable HTTP transport.

A testing server that provides CRUD operations on a JSON user database via MCP tools, enabling AI assistants to list, search, add, update, and delete users.

Gives Claude full read/write access to the Indexed FP&A portal's data, enabling everything a person can do manually on the portal through conversation.

Enables AI applications to run SQL queries and retrieve results from Oracle Database.

Enables secure access to Oracle databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly/readwrite/full) and table-level permissions for safe query execution and data management.

Provides access to MySQL databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly, readwrite, full) and table-level permissions using whitelists, blacklists, wildcards, and regex patterns.