Google Gemini is Google's generative AI model and conversational assistant that combines text, code, images, audio, and video to deliver multimodal AI capabilities powered by Google's advanced large language models.
Self-hosted MCP gateway that registers upstream MCP servers and fronts them behind one governed Streamable HTTP endpoint: per-tool access control by caller API key, guardrails over tool arguments and results, rate limits, and usage logs. The same Rust gateway also proxies LLM and A2A agent traffic.
2
1
182
Apache 2.0
Why this server?
Lists Google Gemini / Vertex AI as a compatible AI client that can call the server's OpenAPI, MCP, or HTTP tools.
Aziel Runtime is a node-meshed MCP software orchestration suite for digital forensics, auditing, provenance, research, intelligence-support, and secure agent workflows, with a single gated execution path, compartmentalized engines, verifiable receipts, temporal integrity, and explicit capability refusal. It is not merely an API aggregator or generic tool router.
Gateway connector between LLM agents and world data, providing access to financial market prices, macroeconomic indicators, and news through a bundled endpoint catalog.
8
33 PyPI
3
MIT
Why this server?
Allows sending prompts to Google Gemini via local CLI for long-context, multimodal tasks and research.
Provides an MCP endpoint that lets clients like Google Antigravity and Claude Desktop dispatch LLM tasks to local GPU models with automatic hardware-adaptive routing and cloud fallback, enabling near-zero token cost execution.
2
3
4
MIT
Why this server?
Integrates with Google Gemini, allowing Gemini agents to discover and retrieve options and volatility market data via the Trading Volatility MCP server.
Enables AI agents to discover and retrieve options market-structure data (GEX, gamma flip levels, dealer positioning, skew, max pain, expected-move levels, options flow, and ranked trade setups) from Trading Volatility's public API via natural language.
17
1
MIT
Why this server?
Allows Google Gemini to execute Mathematica code, control notebooks, and verify results.
Enables code execution in isolated Docker containers with persistent IPython, Node.js, or R kernels, supporting file import/export and cross-session transfers via MCP tools.
