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Enables natural language interaction with Splunk Enterprise and Cloud for searching data and managing resources.
Query the Shodan API and CVEDB to gather network intelligence and security insights.
Enables LLMs to visualize data through a Model Context Protocol (MCP) server using Vega-Lite specifications.
Inspects and analyzes running Go processes to provide insights into goroutine states and memory usage.
Provides an interface to the Google Tag Manager API.
Manages Alibaba Cloud resources through automated operations and pre-built tools.
Measures webpage performance metrics using Google's Lighthouse, enabling AI assistants to optimize these metrics.
Serves Tesla vehicle data and analytics from a TeslaMate database to AI assistants via the Model Context Protocol.
Provides advanced code analysis and reasoning capabilities by orchestrating Google's Gemini AI and Claude Code for complex debugging and understanding distributed systems.
Enables natural language interaction with Actual Budget financial data through large language models using the Model Context Protocol.
Integrates the Google Ads API with Model Context Protocol clients like Claude Desktop, enabling direct data access, automated authentication, and advanced query execution.
Integrates Grafana Loki log data with the Model Context Protocol for AI agent interaction.
Empowers AI assistants to interact with Power BI datasets using natural language.
Discovers and evaluates candidate image-based biomarkers from gigapixel histopathology slides using an end-to-end, weakly-supervised deep-learning pipeline.
Interact with your Render cloud resources using Large Language Models.
Translates natural-language prompts into precise Perfetto queries to analyze trace data without requiring manual SQL writing.
Automates AI optimization of Linux kernel schedulers using the sched-ext framework.
Provides a full-featured stock data service supporting real-time A-share, Hong Kong, and US market quotes, fundamental analysis, AI-driven news sentiment analysis, and in-depth research.
Deploys a local, open-source MCP server specifically for financial analysis and quantitative trading, featuring a departmental architecture that mirrors real financial firm operations.
Provides access to the Oura API, enabling language models to query sleep, readiness, and resilience data.
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