Shotbot Mcp

MCP server for Google's Gemini File Search and RAG (Retrieval-Augmented Generation). ## Features - Create and manage File Search stores - Upload documents (text, PDF, base64) with custom metadata and chunking config - Import existing Gemini files into stores - Track upload/operation status - Query documents using RAG with model selection and metadata filtering ## 12 Tools **Store Management**: create, list, get, delete stores **Upload & Import**: upload content directly or import existing files **Operations**: check status of store/upload operations **Documents**: list, get, delete documents in stores **RAG Query**: query documents with Gemini models (supports metadata filters) ## Configuration - GEMINI_API_KEY — Get one at https://aistudio.google.com/apikey

MCP server for Google's Gemini File Search and RAG (Retrieval-Augmented Generation). ## Features - Create and manage File Search stores - Upload documents (text, PDF, base64) with custom metadata and chunking config - Import existing Gemini files into stores - Track upload/operation status - Query documents using RAG with model selection and metadata filtering ## 12 Tools **Store Management**: create, list, get, delete stores **Upload & Import**: upload content directly or import existing files **Operations**: check status of store/upload operations **Documents**: list, get, delete documents in stores **RAG Query**: query documents with Gemini models (supports metadata filters) ## Configuration - GEMINI_API_KEY — Get one at https://aistudio.google.com/apikey

Maintain persistent project context by storing decisions, lessons, and task checkpoints for seamless session transitions. Navigate information through semantic search and relationship graphs to uncover related knowledge clusters. Automate memory consolidation and cleanup to keep your workspace organized and relevant.

Maintain persistent project context by storing decisions, lessons, and task checkpoints for seamless session transitions. Navigate information through semantic search and relationship graphs to uncover related knowledge clusters. Automate memory consolidation and cleanup to keep your workspace organized and relevant.

Usage-adaptive Obsidian vault search: Hebbian + PageRank + BM25 hybrid ranking.

Find where your notes disagree — contradiction detection for markdown vaults.