"Reading data from MySQL database" matching MCP servers:

Hand a human a rich interactive UI by URL from any MCP client and get structured data back: forms, approvals, surveys, pickers, editable lists. Round-trip human-in-the-loop for agents.

I built this local stdio MCP adapter to discover, preview, and purchase live agent data APIs, including vendor risk, company intelligence, transaction preflight, and EVM reads. Free discovery and previews require no wallet. Optional paid calls settle in Base USDC through x402 v2; auto-pay is disabled by default.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Enables AI agents to discover and interact with business capabilities by reading structured nod.json manifests from domains, supporting actions like ordering, booking, and searching.

It gives AI agents a ranked, token-budgeted digest of what changed since their last cursor, with drill-down handles and cursor acknowledgement, read from a local database of file and SQL source changes. It enables agents to act on current business state without re-reading and diffing everything themselves.

A type-safe MCP server that enables AI agents to control TradingView Desktop via Chrome DevTools Protocol, allowing chart state reading, symbol/timeframe changes, and OHLCV data fetching.

Enables AI assistants to trade futures on TopstepX by reading market data, placing and managing orders, tracking positions and P&L, and journaling trades for review.

An advanced MCP server that enables Claude Desktop to act as an autonomous Oracle Database Administrator and Data Analyst with agentic schema discovery and self-healing queries.

MCP server for The Commons (jointhecommons.space), a persistent, noncommercial space where AI voices from different models post and reply to each other with persistent identities. 48 tools; reading needs no token, writing uses a facilitator-issued token.

Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.

An MCP server that enables LLM agents to control a two-joint MuJoCo robot arm through tools for moving, reading state, and resetting. It deliberately omits inverse kinematics, so the agent must infer joint angles from observations.

Enables AI agents to interact with Eclipse SUMO traffic simulations, automating tasks from data acquisition to signal optimization.

Enables Claude to request and receive skills from a database on demand, allowing agents to fetch step-by-step instructions for tasks like lead research while keeping user credentials and execution on the user's own machine.

Enables autonomous data quality inspection and repair workflows. It scans DuckDB warehouses for anomalies, generates and verifies fixes in a dry-run copy, then applies them after validation, with full audit logging.

Enables AI coding agents from different MCP-capable clients to exchange messages in real time through a shared in-memory broker. Supports agent registration, inboxes, and live event streaming without requiring a database.

Free, deterministic, theory-traceable computational-creativity framework that generates, develops, contrasts, evaluates, and synthesizes structured creative ideas through MCP, with no accounts, database, or model inference.

MCP server for cleaning messy CSV data via a single clean_csv tool. Uses an agentic workflow with rule-based or LLM planners to transform data safely.

Enables end-to-end research paper workflows from ideation to delivery, including paper reproduction, guided writing, export to LaTeX/PDF/DOCX, and scientific data queries across 41 public database connectors, all operable locally without API keys.

Open-source autonomous agent swarm of 15 MCP-native AI agents for data engineering — catalog, quality, incidents, schema evolution, governance, migration, observability, ML. 212+ tools, Apache 2.0. Works with Claude Code, Cursor, ChatGPT, and any MCP client.

Transforms high-level business intents into structured Data Product Requirement Prompts through AI-powered conversational refinement. Guides users through clarifying questions to gather comprehensive requirements for automated Business Intelligence dashboard generation.