"Creating an Automation System Using n8n" matching MCP servers:

Enables natural-language automation of DIgSILENT PowerFactory for engineering tasks such as load-flow studies, short-circuit calculations, and network switching.

A production-quality multi-agent research system with an arXiv MCP server and LangGraph-based research agents, providing search, details, and cached summaries via SQLite.

Enables autonomous research by integrating multiple free sources including web search, Wikipedia, arXiv, and Crossref, with no API keys required.

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

A minimal MCP server for market research using FastMCP and the Tavily API, with n8n automation, enabling company overview, competitor analysis, product portfolio, pricing snapshot, and recent news queries.

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

This project is a Google Analytics 4 (GA4) automation server implemented as a Model Context Protocol (MCP) tool. It lets AI agents query GA4 data (reports, traffic sources, demographics, etc.) and also includes a simple connection test script.

An automated system that processes raw text through a three-stage pipeline to assess data quality, enhance information, and generate structured knowledge graphs. It provides tools for triple extraction with confidence scoring and creates interactive HTML visualizations of the resulting graph.

Enables traditional Chinese fortune-telling through BaZi (Four Pillars) analysis, including solar/lunar date conversion, Five Element balance calculations, Ten Gods deduction, and destiny interpretation for metaphysics applications.

Enables AI coding assistants to query private academic paper collections via standard MCP tools, with hybrid retrieval, reranking, and inline citations.

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

Provides GPU-accelerated scientific computing capabilities including symbolic mathematics, quantum wave mechanics simulations, molecular dynamics, and neural network training through four specialized MCP servers.

This MCP server enables agents to control LTspice on macOS for running simulations, generating schematics, extracting data, and automating verification workflows.

MCP server providing data analytics tools for AI agents to load, clean, analyze data, generate charts and dashboards.

Enables multi-agent research with web search and analysis, accessible via VS Code Copilot tools.

An MCP server that enables AI agents to query RevenueCat's subscription analytics API using natural language, retrieving metrics like MRR, churn, and revenue.

Enables creating, managing, and analyzing live audience surveys on rifts.to directly from an AI client. Supports creating surveys, listing them, retrieving results, and closing surveys via natural language.

An MCP server for the NASA Astrophysics Data System (ADS) that enables searching, citation graph traversal, and bibliography management for astrophysics literature. It provides tools for computing citation metrics, resolving astronomical object names, and managing paper libraries through natural language.

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.

An MCP server that exposes the IPUMS API as LLM tools for browsing metadata, creating and downloading extracts, and generating reproducible R/Python code.