futuresearch-python Skill

Install or run

pip install futuresearch

Client configuration

{
  "manifest_version": "0.4",
  "name": "futuresearch-mcp",
  "display_name": "FutureSearch MCP Server",
  "version": "0.20.0",
  "description": "Give your AI a research team. Forecast, score, classify, or research every row of a dataset.",
  "long_description": "MCP server for futuresearch: give your AI a research team. Each operation dispatches web research agents across a dataset to forecast, score, classify, deduplicate, merge, or research at scale.",
  "author": {
    "name": "FutureSearch",
    "url": "https://futuresearch.ai"
  },
  "repository": {
    "type": "git",
    "url": "https://github.com/futuresearch/futuresearch-python.git"
  },
  "homepage": "https://futuresearch.ai",
  "documentation": "https://futuresearch.ai/docs",
  "support": "https://github.com/futuresearch/futuresearch-python/issues",
  "icon": "images/future-search-logo-128.png",
  "server": {
    "type": "uv",
    "entry_point": "src/futuresearch_mcp/server.py",
    "mcp_config": {
      "command": "uv",
      "args": [
        "run",
        "${__dirname}/src/futuresearch_mcp/server.py"
      ],
      "env": {
        "FUTURESEARCH_API_KEY": "${user_config.api_key}"
      }
    }
  },
  "tools": [
    {
      "name": "futuresearch_rank",
      "description": "Score and sort rows in a CSV file based on any criteria."
    },
    {
      "name": "futuresearch_dedupe",
      "description": "Remove duplicate rows from a CSV file using semantic equivalence."
    },
    {
      "name": "futuresearch_merge",
      "description": "Join two CSV files using intelligent entity matching."
    },
    {
      "name": "futuresearch_agent",
      "description": "Run web research agents on each row of a CSV file."
    },
    {
      "name": "futuresearch_multi_agent",
      "description": "Deep parallel rese

Compatible clients