Cosa-SAI (Gemini Docs)

RAG Docs

Enhances information retrieval through semantic search functionality and a vector database (Qdrant), facilitating streamlined access to extensive document repositories.

Vertex AI Gemini

Enhance your Google Cloud Vertex AI Gemini model integration with web search connection, precise knowledge retrieval, and text-based replies using customizable utilities and real-time assistance.

SAP Docs

Access SAP documentation and community content offline, offering searchable indexes for SAPUI5, CAP, OpenUI5 API documentation. Seamlessly integrates real-time SAP Community for quick technical reference, eliminating the need for online searches.

Gemini Context

Enhances Gemini model performance by enabling continuous chat logs, advanced search capabilities, and efficient caching through API integration, resulting in improved token management and decreased expenses.

Google Search (Gemini)

Enhance search capabilities using Gemini's inherent features to deliver precise search results, complete with automatic source references and metadata for trustworthy information retrieval.

Documentation Management System

Enhance your access to package docs, API references, and guides with a self-hosted documentation management system. Utilizing semantic search capabilities, this tool efficiently crawls, processes, and updates technical documentation for offline usage.

Technical Documentation Search

Unlock a specialized search tool within the Model Context Protocol (MCP) ecosystem, enabling AI assistants to seamlessly retrieve and utilize technical insights from LangChain, LlamaIndex, and OpenAI repositories. This innovative tool harnesses the power of the Brave Search API to efficiently locate, retrieve, and extract pertinent information, enhancing the overall AI experience.

Docs RAG

Utilizing a RAG framework developed with TypeScript, LlamaIndex, and Gemini embeddings, this protocol empowers artificial intelligence to search and assess native files and Git repositories effectively.

GemSuite (Google Gemini)

Enhance your integration with Google's Gemini API using dedicated tools for search, analysis, and model selection tailored to your content's needs. Drive efficiency in reasoning, processing, and file analysis by automating the selection of the most suitable models for each content type.

Scientific Paper Analyzer (Gemini)

Access cutting-edge academic research papers through seamless integration with Google's Gemini API. Uncover valuable insights, create citation graphs, and retrieve in-depth paper details effortlessly.

Gemini AI

Unlock the full potential of Google's Gemini AI models through an advanced interface offering specialized features for content creation, chat features, function invocation, and efficient file and cache handling.

Gemini

Access advanced features of the Google Gemini API using an innovative model fallback system with capabilities for generating content, making function calls, engaging in stateful chat interactions, and managing files, all within a unified tool-driven framework.

Kontxt

Utilizing advanced AI technology, this protocol conducts in-depth analysis of codebases through integration with local repositories. By leveraging Gemini 2.0 Flash's innovative 1M input window, it generates context tailored to user queries without the need for manual indexing.

Sage (Gemini 2.5 Pro)

Enhance your collaboration with Gemini 2.5 Pro by utilizing cutting-edge tools that allow for sending detailed prompts along with complete file context. Facilitate second opinions and expert code reviews seamlessly, leveraging gitignore-aware directory traversal for optimized performance.

Gemini Media Analysis

Utilizing Google's Gemini AI technology, this Model Context Protocol (MCP) offers advanced tools for analyzing images, audio, and videos. Enhance content comprehension through detailed descriptions, transcriptions, and insights, while optimizing performance with efficient file caching.