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DataToRAG

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An open-source Model Context Protocol gateway that connects Google Workspace, Jira, and Confluence to AI assistants, providing 70 tools across one endpoint with

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Описание

An open-source Model Context Protocol gateway that connects Google Workspace, Jira, and Confluence to AI assistants, providing 70 tools across one endpoint with multi-account support and token-optimized responses.

README

Connect your Google Workspace, Jira, and Confluence to Claude — through one MCP endpoint.

DataToRAG is an open-source Model Context Protocol gateway that turns your everyday work tools into something your AI assistant can actually use. Gmail, Calendar, Drive, Docs, Sheets, Slides, Tasks, Contacts, Jira, and Confluence — 70 tools across one endpoint, with multi-account support and token-optimized responses.


Why DataToRAG

Works with any MCP client. Claude Desktop, Cursor, Windsurf, custom agents — anything that speaks the Model Context Protocol.

Google Workspace, natively. 48 tools across Gmail, Calendar, Drive, Docs, Sheets, Slides, Contacts, and Tasks. Search threads, draft replies, update cells, batch-create slides, find files, manage tasks — from a single prompt.

Atlassian, too. 22 tools for Jira and Confluence: search by JQL or CQL, create and transition issues, read and edit pages, manage comments and attachments.

Multi-account out of the box. Connect personal, shared, and team Google accounts under one endpoint. Your assistant can target a specific account or search across all of them.

Token-optimized. Naive API wrappers dump everything into your context window. DataToRAG tunes tool responses for token efficiency — the same Gmail thread read costs a fraction of the tokens, which means longer conversations and smarter agents.

OAuth per user. Each user signs in with Google and Atlassian themselves. No shared service accounts, no tokens in code.

Self-hostable. MIT-licensed. Run it on your own infrastructure, or use the hosted version at datatorag.com.


Quick Start (hosted)

Add this to your MCP client config:

{
  "mcpServers": {
    "datatorag": {
      "url": "https://datatorag.com/mcp"
    }
  }
}

Then sign in at datatorag.com/dashboard and connect your Google or Atlassian accounts. That's it — your AI assistant now has access to every tool listed in the docs.


Available Connectors

Connector Tools Services
Google Workspace 48 Gmail · Calendar · Drive · Docs · Sheets · Slides · Contacts · Tasks
Atlassian 22 Jira · Confluence

Each tool is documented with its operations, required OAuth scopes, and example prompts at datatorag.com/docs.


Architecture

              ┌──────────────────┐
              │    MCP Client    │
              │  Claude Desktop, │
              │   Cursor, etc.   │
              └────────┬─────────┘
                       │
             POST /mcp │  Bearer <OAuth token>
                       │
                       ▼
              ┌──────────────────┐
              │    1. Auth       │── OAuth2 token
              │                  │   validation
              └────────┬─────────┘   401 if invalid
                       │
                       ▼
              ┌──────────────────┐
              │   2. Session     │── Streamable HTTP
              │                  │   Create or reuse
              └────────┬─────────┘
                       │
                       ▼
              ┌──────────────────┐    ┌────────────┐
              │  3. tools/list   │───>│ PostgreSQL │
              │     tools/call   │    │            │
              └────────┬─────────┘    │ users      │
                       │              │ tools      │
                       ▼              │ accounts   │
              ┌──────────────────┐    │            │
              │  4. Route by     │<──>│            │
              │     namespace    │    └────────────┘
              └────────┬─────────┘
                       │
          ┌────────────┼─────────────┐
          ▼            ▼             ▼
   ┌────────────┐ ┌────────────┐ ┌──────────┐
   │  gws-mcp   │ │ atlassian- │ │ plugin-n │
   │  (Node.js) │ │    mcp     │ │   ...    │
   │ :40000/mcp │ │ :40001/mcp │ │          │
   └────────────┘ └────────────┘ └──────────┘

The gateway is a thin routing layer: it authenticates the client, forwards per-user OAuth tokens to the plugin that owns the tool namespace, and streams the response back. Plugins run as separate Node.js processes — they can be added, removed, or replaced without changing the gateway.


Self-Hosting

Prerequisites

  • Docker
  • Google OAuth client for login (and a separate one for Google Workspace scopes)
  • Atlassian OAuth client (optional, for Jira + Confluence)

Local Development

# Start postgres, run migrations, seed a test user, and boot the gateway
docker compose -f docker/docker-compose.dev.yml up -d
Service URL
Gateway http://localhost:8285
Dashboard http://localhost:8285/dashboard
Docs http://localhost:8285/docs
Health http://localhost:8285/health
OAuth metadata http://localhost:8285/.well-known/oauth-authorization-server

Connect a local MCP client:

{
  "mcpServers": {
    "datatorag": {
      "url": "http://localhost:8285/mcp"
    }
  }
}

Development Without Docker

# Start only postgres
docker compose -f docker/docker-compose.dev.yml up postgres -d

pnpm install

# Push schema + seed
DATABASE_URL=postgresql://datatoragmcp:localdev@localhost:54320/datatoragmcp \
  pnpm --filter @datatorag-mcp/db db:push && \
  pnpm --filter @datatorag-mcp/db db:seed

# Start gateway
DATABASE_URL=postgresql://datatoragmcp:localdev@localhost:54320/datatoragmcp \
  pnpm --filter @datatorag-mcp/gateway dev

Environment Variables

Variable Default Required Description
DATABASE_URL Yes PostgreSQL connection string
GATEWAY_PORT 8285 No Gateway server port
GATEWAY_BASE_URL http://localhost:8285 No Public URL for OAuth redirects
GOOGLE_CLIENT_ID For login Google OAuth client ID (dashboard sign-in, minimal scopes)
GOOGLE_CLIENT_SECRET For login Google OAuth client secret
GOOGLE_GWS_CLIENT_ID For GWS tools Separate OAuth client for Google Workspace scopes
GOOGLE_GWS_CLIENT_SECRET For GWS tools
ATLASSIAN_CLIENT_ID For Atlassian tools Atlassian OAuth client ID
ATLASSIAN_CLIENT_SECRET For Atlassian tools
POSTHOG_API_KEY No PostHog project key for server-side analytics (tool calls, signups, OAuth)
NEXT_PUBLIC_POSTHOG_KEY No Same value as POSTHOG_API_KEY, exposed to the browser. Inlined at build time — must be set when running next build or docker build. PostHog project keys are safe to expose publicly.

Production Deployment

Production runs on Docker Compose with a build-arg pipeline for NEXT_PUBLIC_* values. See docker/docker-compose.prod.yml and apps/gateway/Dockerfile for the reference setup.


Project Structure

apps/
  gateway/             MCP proxy server (Express + MCP SDK) + Next.js dashboard
    src/
      app/             Dashboard, docs, landing page (Next.js App Router)
      gateway/         MCP routing, auth, plugin manager, tool tracking
      lib/             Shared utilities (docs parser, analytics, hooks)
    content/
      blog/            Markdown blog posts
      docs/            Markdown connector docs
    server.ts          Custom Express server entry point
packages/
  config/              Environment variable parsing (zod schema)
  db/                  Drizzle ORM schema + database client
  types/               Shared TypeScript types
  auth/                OAuth helpers
  docker-manager/      Docker lifecycle helpers for plugin containers
docker/
  docker-compose.dev.yml    Local development stack
  docker-compose.prod.yml   Production (Lightsail)

Contributing

Issues and pull requests welcome. For substantial changes, open an issue first so we can align on direction.

License

MIT

from github.com/datatorag/mcp-gateway

Установка DataToRAG

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/datatorag/mcp-gateway

FAQ

DataToRAG MCP бесплатный?

Да, DataToRAG MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для DataToRAG?

Нет, DataToRAG работает без API-ключей и переменных окружения.

DataToRAG — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить DataToRAG в Claude Desktop, Claude Code или Cursor?

Открой DataToRAG на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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