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Ragento Analytics MCP server — ingest, query, and analyze your data from Cursor and agent IDEs

Project description

Ragento

Ragento MCP

Analytics inside Cursor, Claude Code, Windsurf, and Antigravity.
Purpose-built MCP tools for ingest, catalog, SQL, NL query, profiling, and deep analysis.

Install guide · Why Ragento MCP · Platform


Quick install

curl -fsSL https://ragento.ai/install/mcp.sh | bash

Then enable Ragento in your IDE's MCP settings. Sign-in opens automatically in the browser (app.ragento.ai) and is saved locally.

Manual config

Add to ~/.cursor/mcp.json (or your IDE's MCP config):

{
  "mcpServers": {
    "ragento": {
      "command": "uvx",
      "args": ["ragento-mcp@latest"],
      "env": {
        "RAGENTO_API_URL": "https://backend.ragento.ai/api/v1",
        "RAGENTO_APP_URL": "https://app.ragento.ai"
      }
    }
  }
}
IDE Config path
Cursor ~/.cursor/mcp.json
Claude Code ~/.claude.json or project .mcp.json
Windsurf ~/.codeium/windsurf/mcp_config.json
Antigravity ~/.gemini/antigravity/mcp_config.json

How auth works

  1. Enable the MCP server in your IDE (stdio process starts).
  2. If not signed in, your browser opens app.ragento.ai for OAuth.
  3. Approve access once — tokens save to ~/.config/ragento-mcp/credentials.json (auto-refresh, ~90 days).
  4. Ask your agent to list sources, ingest, or query — no manual ragento_connect step.

Use ragento_disconnect only to switch accounts or sign out.

Tools

Tool Purpose
ragento_list_sources List your data sources
ragento_get_catalog User-scoped tables, columns, SQL hints
ragento_ingest CSV, databases, API captures, text docs
ragento_wait_for_source Poll until ingestion / profiling completes
ragento_run_sql Execute SQL on your sources
ragento_query Natural-language answers (NL2SQL)
ragento_fetch_data NL or SQL → table/chart artifacts
ragento_analyze Deep multi-step investigation
ragento_get_profile Sentinel column classifications
ragento_business_context MDL, graphs, memory, documents
ragento_interview_context Guided KPI / metric capture
ragento_get_insights Insight feed and discovery
ragento_connect Optional manual re-login
ragento_disconnect Sign out on this machine

Environment

Variable Default Description
RAGENTO_API_URL https://backend.ragento.ai/api/v1 API gateway
RAGENTO_APP_URL https://app.ragento.ai OAuth login
RAGENTO_MCP_AUTO_AUTH 1 Set 0 to disable automatic browser sign-in
RAGENTO_MCP_TOKEN Legacy static token (skips OAuth)

CLI helpers

uvx ragento-mcp@latest install-cursor   # write ~/.cursor/mcp.json
uvx ragento-mcp@latest                  # run stdio MCP server

License

MIT — see LICENSE.

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