MCP Remote Machine Control

Put performance and error data directly in the hands of your AI assistant.

Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more

A project for managing multiple MCP servers using Docker Compose, with each server as a submodule.

Analyze Solana metrics from InfluxDB and generate Grafana dashboards.

Access prompt templates managed in an MLflow Prompt Registry. Requires a running MLflow server configured via the MLFLOW_TRACKING_URI environment variable.

Optimize any site for AI search: get DeepRank methodology, optimization steps, and suggestions (llms.txt, JSON-LD, audit checklist) so your AI assistant can implement AI visibility in the repo.

Manipulate Adventure Game Studio (AGS) compiled room (.crm) files to enable AI-powered game development.

Generate images and text using the Pollinations.ai API.

A set of tools for interacting with the Flow blockchain through the Model Context Protocol.

Explore and interact with Swagger/OpenAPI specifications, allowing for browsing endpoints and retrieving details on API operations.

Execute any LLM-generated code in the YepCode secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages

Manage Xcode simulators.