Semantic Frame

Semantic Frame is an MCP (Model Context Protocol) server that provides token-efficient semantic compression for numerical data, enabling AI assistants and LLM agents to consume large datasets as concise, human-readable summaries. It integrates with Claude, LangChain, CrewAI, and other MCP-compatible clients, exposing tools such as 'describe_data', 'describe_batch', and 'describe_json' for deterministic, hallucination-free data analysis. Data from NumPy, Pandas, Polars, and Python lists can be analyzed for trends, anomalies, volatility, seasonality, and more, with structured output available for APIs and system prompts. This makes Semantic Frame ideal for data scientists, developers building agentic workflows, and anyone needing LLM-ready natural language summaries of large numerical datasets.