manifest.json

{
  "manifest_version": "0.4",
  "name": "everyrow-mcp",
  "display_name": "Everyrow MCP Server",
  "version": "0.2.1",
  "description": "AI-powered dataframe ops: transform, dedupe, merge, rank, and screen with natural language",
  "long_description": "MCP server for everyrow: agent ops at spreadsheet scale. This server exposes everyrow's 5 core operations as MCP tools, allowing LLM applications to screen, rank, dedupe, merge, and run agents on CSV files. All tools operate on local CSV files.",
  "author": {
    "name": "FutureSearch",
    "url": "https://everyrow.io"
  },
  "repository": {
    "type": "git",
    "url": "https://github.com/futuresearch/everyrow-sdk.git"
  },
  "homepage": "https://everyrow.io",
  "documentation": "https://github.com/futuresearch/everyrow-sdk/tree/main/everyrow-mcp",
  "support": "https://github.com/futuresearch/everyrow-sdk/issues",
  "server": {
    "type": "uv",
    "entry_point": "src/everyrow_mcp/server.py",
    "mcp_config": {
      "command": "uv",
      "args": ["run", "${__dirname}/src/everyrow_mcp/server.py"],
      "env": {
        "EVERYROW_API_KEY": "${user_config.api_key}"
      }
    }
  },
  "tools": [
    {
      "name": "everyrow_screen",
      "description": "Filter CSV rows based on criteria that require judgment"
    },
    {
      "name": "everyrow_rank",
      "description": "Score and sort CSV rows based on qualitative criteria"
    },
    {
      "name": "everyrow_dedupe",
      "description": "Remove duplicate rows using semantic equivalence"
    },
    {
      "name": "everyrow_merge",
      "description": "Join two CSV files using intelligent entity matching"
    },
    {
      "name": "everyrow_agent",
      "description": "Run web research agents on each row of a CSV"
    }
  ],
  "user_config": {
    "api_key": {
      "type": "string",
      "title": "Everyrow API Key",
      "description": "Your API key from https://everyrow.io/api-key ($20 free credit)",
      "sensitive": true,
      "required": true
    }
  },
  "compatibility": {
    "platforms": ["darwin", "linux", "win32"],
    "runtimes": {
      "python": ">=3.12"
    }
  },
  "keywords": ["everyrow", "dataframe", "csv", "ai", "data-processing", "dedupe", "merge", "rank", "screen"],
  "license": "MIT",
  "privacy_policies": ["https://futuresearch.ai/privacy/"]
}