Explore 'gemini' MCP Resources

Asynchronous Python client to interact with Rini API Server for LLM, user, session, and MCP management.

A sample MCP client developed with Electron, React, and Express for demonstrating MCP functionalities.

Implements MCP server supporting multiple agent frameworks for seamless agent communication and coordination.

Simple MCP server enabling shell execution, local connectivity via Ngrok, and Docker-based Ubuntu24 container hosting.

A simple MCP server deployment tool supporting shell execution, with options for local and container hosting.

Standardized interface for integrating various agent frameworks and LLM providers with tools and resources.

A MCP server enabling AI models to post directly to X (Twitter) using Google's Gemini AI.

A multichannel chat client supporting various LLMs, prompt management, MCP server market, and cross-platform support.

Open-source Python library enabling seamless MCP integration for AI agents, workflows, and automations.

A client-server architecture MCP providing weather alerts and forecasts using National Weather Service API

OpenClient is an open-source MCP that standardizes context provisioning for LLMs to enable seamless AI application integration.

A dedicated MCP server wrapping Google's Gemini SDK, enabling integration with various LLMs and MCP systems.

An MCP server that uses Google's Gemini 1.5 Pro model for multi-format content summarization including text, web pages, PDF, and EPUB.

A voice-controlled client enabling multimodal AI workflows via Model Control Protocol (MCP).