FutureSearch Python SDK allows users to deploy a team of researchers to forecast, score, classify, or gather data using AI. It integrates with various AI platforms and provides a set of operations for data processing.
From the registry: Give your AI a research team. Forecast, score, classify, or research every row of a dataset.
Please install the `futuresearch-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Google sign-in** — Sign in with Google after connecting — no credit card required (https://futuresearch.ai)
Canonical MCP server config (HTTP transport):
- url: `https://mcp.futuresearch.ai/mcp`
Note: Deep research MCP — spin up a team of web research agents to forecast, score, classify, or gather data. OAuth-based auth via Google sign-in after connecting.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.FUTURESEARCH_API_KEYrequiredRequired for accessing the FutureSearch API.