Embedding Search

Provides embedding search capabilities for transcripts using a SQLite database, enabling efficient semantic retrieval of relevant text segments for applications like podcast analysis or content recommendation.

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Provides a RESTful API for complete VMware ESXi/vCenter environment management including VM lifecycle operations and real-time performance monitoring through pyVmomi integration

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Upstash Developer API's.

Provides a persistent Python execution environment for interactive code development, data analysis, and rapid prototyping.

Bridges with Discord channels for automated messaging, user interaction, and response handling.

Executes code snippets from GitHub repositories on io.livecode.ch's backend, enabling live code execution across various languages and frameworks without local setup.

File access and search capabilities for Google Drive

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