"Methods for Reading Water Sensor Data" matching MCP servers:

Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.

A 4-stage reading companion that helps users set reading goals, discover books, track progress, and deepen learning through reflection, integrated with Claude Desktop.

An advanced MCP server powered by PHREEQC for industrial wastewater treatment modeling, offering 17 tools for chemical equilibrium, kinetic reactions, and optimization like lime softening and phosphorus removal.

Provides real-time water temperature and tide predictions for any lake, river, ocean, bay, or beach using NOAA, USGS, and other sources.

Provides access to real-time water data from the USGS Water Services API, allowing users to fetch instantaneous measurements like stream flow, gage height, temperature, and water quality parameters from thousands of monitoring stations across the US.

Fits a lithium-ion full-cell dual-water-tank model from charge/discharge voltage-capacity data for battery aging mechanism identification, with parameter fitting, batch processing, and MCP server integration.

An MCP server for COMSOL Multiphysics that enables AI agents to perform flexible pressure sensor simulation, including DXF analysis, contact model building, parameter sweeping, and result export using natural language.

Combines National Weather Service alerts and forecasts with modern USGS water data, enabling weather and hydrology queries through MCP. No API key required, with persistent local caching.

Enables exporting Apple Safari Reading List entries to JSON and adding new items via MCP on macOS.

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

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

This server enables multi-agent conversations for interacting with Cirro's biological data platform through its OpenAPI interface, auto-generated using AG2's MCP builder.

Connects Sensor Bio wearable data to AI assistants via the Model Context Protocol, enabling queries about sleep, heart rate, activity, and other biometrics.

Enables natural language search and discovery of open-access scientific datasets through the EOSC Data Commons OpenSearch service. Provides tools to search datasets and retrieve file metadata using LLM-assisted queries.

MCP server for structured web data access, enabling local-market research and lead-list enrichment by returning business names, locations, ratings, and review signals from concrete queries.

An MCP server with 66+ tools for data engineering, enabling AI assistants to interact with Kafka, databases, AWS, data pipelines, infrastructure, and more.

Provides access to a comprehensive financial intelligence platform featuring real-time market data, quantitative models, and alternative data sources. It enables users to perform advanced financial analysis including options analytics, portfolio modeling, and SEC filing research.

Free MCP server for real-time cryptocurrency data. Get token prices, market overview, top movers, historical charts, and detailed token info directly in Claude Code, Cursor, or any MCP-compatible AI tool. Powered by CoinGecko with 70+ token mappings and built-in caching.

Local MCP server that registers restricted Python filters and runs them against local JSON, YAML, and TXT files, enabling safe data filtering and file conversion.

An MCP server that lets an LLM query a DuckDB warehouse of EuroLeague and EuroCup basketball data in natural language, offering tools for player and team stats, shot charts, boxscores, and fantasy draft analysis without contacting upstream APIs.