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Why this server?
Enables AI models to efficiently analyze codebases by packaging local or remote repositories into optimized single files, with intelligent compression via Tree-sitter.
Why this server?
Provides access to the Australian Bureau of Statistics (ABS) Data API, allowing AI assistants to query and analyze ABS statistical data.
Why this server?
Allows AI assistants to access Fathom Analytics data, enabling users to retrieve account information, site statistics, events, aggregated reports, and real-time visitor tracking.
Why this server?
Allows users to analyze and visualize AWS cloud spending data by enabling Claude to query AWS Cost Explorer through natural language conversations.
Why this server?
MCP server for collecting code from files and directories into a single markdown document for analysis.
Why this server?
Enables analysis of claims, validation of sources, and detection of manipulation using multiple epistemological frameworks to ensure credible and ethical information.
Why this server?
Analyzes source code to provide comprehensive explanations including architecture diagrams, core functionality analysis, and component breakdowns across multiple programming languages.
Why this server?
Enhances language models with protein structure analysis capabilities, enabling detailed active site analysis and disease-related protein searches through established protein databases.
Why this server?
Enables AI models to perform Google searches and analyze webpage content programmatically.
Why this server?
Facilitates semantic analysis of chat conversations through vector embeddings and knowledge graphs, offering tools for semantic search, concept extraction, and conversation pattern analysis.