"Google Earth Engine" matching MCP connectors:
Matching Connector Tools:
Forensic scheduling MCP for Primavera P6 (XER): AACE windows, DCMA-14, Monte Carlo, TIA.
Find novel, statistically validated patterns in tabular data — hypothesis-free.
A MCP server that works with Google Calendar to manage event listing, reading, and updates.
A managed AI marketing agent that plugs into all your AI tools. Ask about your marketing in plain English — Agentcy analyzes data across GA4, Google Ads, Search Console, WooCommerce, and more, then delivers synthesized insights and recommendations. Not a data dump. Not a dashboard. An agent that thinks. Sign up at goagentcy.com to configure your domains and data sources. Free plan includes 50 requests/month — paid plans start at $29/mo.
Korean premium short-term rental search: natural language or structured filters (SHV engine).
31The shared AI context engine for git — save, search, and share the reasoning behind code changes. Captures the why behind every commit and slide on PRs for coding agents.
Promote music on Spotify and grow YouTube channels through AI-powered Meta and Google ad campaigns.
ArXiv preprints + Google Scholar papers, with citation counts in one query.
Search hotel prices, get best overall and best direct price in structured response. Get your developer token at https://Infoseek.ai/mcp
Content-addressed, ed25519-signed memory of every place on Earth. Apache-2.0, no keys for reads.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
Precision math engine for AI agents. 203 exact methods. Zero hallucination.
Mixture-of-Agents document intelligence engine. Multiple AI models cross-verify each other for 100% recall across 10 languages. 6 tools (analyze_document, extract_web, summarize, delegate_bulk_translate, estimate_cost, health_check). USDC pay-per-call on Base or Solana via x402. From $0.08/call.
61Connect Google Analytics to ChatGPT. Query GA4 data in plain English and get instant insights.
Brave Search MCP — independent web index (no Google/Bing dependency)
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.