Agent
This chat mode is designed for analyzing market trends, providing insights on financial markets, and assisting with investment strategies. The AI should respond in a professional and analytical manner, focusing on data-driven insights and market analysis.
Instructions file GitHub Copilot
Copilot instructions for danchev/openmarkets, covering copilot instructions for openmarkets, project overview, key architectural patterns, developer workflows and project conventions.
Instructions file GitHub Copilot
Enforces Object Calisthenics principles for business domain code to ensure clean, maintainable, and robust code in Python.
Instructions file GitHub Copilot
Instructions for building Model Context Protocol (MCP) servers using the Python SDK.
MCP server Claude CodeCodexCursor +2
OpenMarkets is a modular Model Context Protocol (MCP) server that unifies access to financial market data for AI, research, and quantitative finance. It offers robust APIs for historical prices, corporate actions, fundamentals, and more, enabling advanced agentic retrieval, RAG, and LLM-powered workflows. Runs locally…
Instructions file GitHub Copilot
Enforces Object Calisthenics principles for business domain code to ensure clean, maintainable, and robust code in Python.
MCP server Claude CodeCodexCursor
MCP server for Milvus. Runs locally from the mcp-server-milvus Python package.
MCP server Claude CodeCodexCursor
SpherePay MCP server - curated Model Context Protocol tools for the SpherePay API. Runs locally from the spherepay-mcp Python package. Needs 4 environment variables to run.