This MCP server implementation integrates the Tavily search API to provide advanced web search capabilities. Developed by Eric Julianto, it offers tools for performing customizable searches with options for depth, result count, time range, and AI-generated answers. The server is built using the FastMCP framework and includes features like progress reporting and resource handling. It's designed for use cases requiring up-to-date web information, such as research, content creation, or data aggregation tasks.
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Highlight AISearch for a place to retrieve its weather information.
Saves a PNG of the exchange rate chart under `downloads/charts` and returns it as MCP image content.
Provides a high-DPI output for selected columns in CSV or Excel files, including labels, annotations, summary statistics, and source notes.
Discovers sheets, columns, data types, and sample rows in a data file.
Accepts records directly and returns a PNG of the data chart without creating a script or temporary data file.
Mirrors the filters on GARUDA's search form, allowing searches by title, abstract, author, or doi, with additional filters for publisher and publication year range.
Renders PlantUML source containing `@startuml` and `@enduml` as PNG, saved under `downloads/plantuml` and returned as MCP image content.
Starts the Google authorization process and returns an authorization URL.
Completes the Google authorization process using the provided authorization URL or code.
