An AI-native access method allowing large language models and AI agents to query Factori’s Real World Graph directly through a standardized tool interface, without writing traditional API code.
MCP was introduced by Anthropic in late 2024 as an open standard so AI agents don’t need a custom integration built for every dataset or tool they might need instead of an LLM answering from static training knowledge, an MCP-connected agent can query a server like Factori’s directly and get back current, governed data (visit patterns, trade areas, competitor presence) before it generates a response. Factori’s MCP server exposes its Real World Graph this way, so a question like “what does foot traffic look like around this address” can be answered with live data rather than a guess.
Further reading: Factori MCP · MCP documentation
