"Setting Up or Using an MQTT Server" matching MCP servers:

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.

Provides tools to interact with the OpenCTI platform, including checking if a campaign exists.

An MCP server for Screener.in to search Indian companies, fetch financial ratios, statements, peer comparisons, and run custom screens.

Enables AI agents to interact with Jupyter notebooks via MCP tools for querying, modifying, executing, and setting up notebooks, with state preservation and real-time collaboration.

Cross-reference your BirdNET-Pi data with eBird observations using natural language

Enables querying employment rates by sector (agriculture, industry, services) for a given country and year using World Bank API.

Enables chatting with your site's SEO using real data, including crawling, on-page auditing, Google Search Console performance, Core Web Vitals, and competitor comparison from MCP clients like Claude or Cursor.

MCP server for searching Ex Libris Primo library catalogues and subscribed databases, enabling search, record retrieval, autocomplete, citation generation, and export to BibTeX, RIS, or CSV.

Enables AI clients to produce probabilistic forecasts with prediction intervals for numeric time series such as sales, demand, traffic, and sensor readings, using a panel of zero-shot foundation models or an accuracy-weighted ensemble. Supports up to 64 series per call, optional covariates, horizons up to 512 steps, and usage or credit checks, all without training or feature engineering.

Exposes 26 structured analytical tools over Climate Finance Update datasets, enabling fund-level financial analysis, portfolio aggregations, and data quality diagnostics without requiring the client to write data access code.

Unofficial Model Context Protocol (MCP) server that enables LLMs to build and execute quantum circuits using Qiskit.

An MCP server that gives AI agents access to global patent data, including 1.4 billion records and Chinese full-text, with zero-config mode for basic tools.

An MCP server that gives AI assistants direct access to New Zealand stock market data via the NZXplorer API, enabling natural language queries for 130 NZX-listed companies, directors, stock prices, governance scores, insider trades, announcements, and more.

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

An MCP server for managing, editing, and running Stata .do files, integrating with Claude Desktop to enable natural language control of Stata analysis on macOS.

Enables users to search and monitor European regulatory publications including GDPR, ISO27001, and AI Act. Supports creating monitoring topics, generating compliance briefs, and setting up notifications for regulatory updates.

An MCP server that provides comprehensive Excel file operations, data analysis, and visualization capabilities for working with various spreadsheet formats like XLSX, CSV, and JSON.

Provides AI-friendly stock analysis using Yahoo Finance data, including technical indicators, financial metrics, and Japanese reports.