DeepView MCP
Enables IDEs to analyze large codebases using Gemini's extensive context window by loading entire codebases from single files and supporting configurable model selection via the Model Context Protocol.
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Your API key from Google AI Studio
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Packs entire codebases into AI-optimized, token-counted, and secure single files compatible with Large Language Models, featuring customizable inclusion, compression, and Git-aware processing for seamless Model Context Protocol integration.
Added May 29, 2025
Automates recursive scanning and concatenation of text files from codebases, respecting .gitignore rules and supporting chunked output for seamless integration with Model Context Protocol (MCP) clients to enhance large language model context handling.
Added May 30, 2025
Enables testing and comparison of LLM prompts across OpenAI and Anthropic providers with configurable parameters, multi-turn conversation management, and seamless API key integration via environment variables or .env files using the Model Context Protocol.
Added May 30, 2025
Convert entire codebases into structured, customizable prompts for large language models by running a local Model Context Protocol (MCP) service that automates code ingestion, filtering, token tracking, and git integration for enhanced AI-driven code analysis and generation.
Added May 30, 2025
Enables seamless communication with diverse data sources via JDBCX using the Model Context Protocol, supporting configurable query timeouts, data formats, and secure access for efficient data integration.
Added May 30, 2025