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PopNx MCPMCP servers for people who use AI · explained in plain words

DataToRAG

by datatoragversion 1.0.0i★ –iRuns in the cloud
Registry namecom.datatorag/mcp-gateway

Install

Overview

Description from the maker (original English)

Hosted MCP for Google Workspace, Atlassian and Notion: one OAuth, per-user accounts, write access.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 3 of 3 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://datatorag.com/mcp

Run this in your terminal

claude mcp add --transport http gateway https://datatorag.com/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "gateway": {
      "type": "http",
      "url": "https://datatorag.com/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://datatorag.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server asks you to sign in before it lists its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain datatorag.com (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 222 ms (HTTP 401)

  • ✓ Pass

    Sign-in with OAuth

    Declares OAuth sign-in, so your AI app can take you to log in

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 2191 servers in this category
  • Published to the registry more recently than 76% of the other 2191 servers in this category
  • Basic checks equal to or better than 100% of the other 2191 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is DataToRAG safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Agent-Native Google Calendar - manage events, sync, and public booking

Runs in the cloud★ 7,620MITUpdated 2 months ago
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Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 6 days ago
Install

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Runs on your computer★ 847MITUpdated 3 days ago
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Google Workspace, Jira, Confluence and Notion for Claude and other MCP clients, through one endpoint.

DataToRAG is an open-source Model Context Protocol gateway. You point your AI client at one URL. Each person connects their own Google, Atlassian and Notion accounts, and the gateway hands the client the tools for those accounts, calling the services with the person's own OAuth grant. It runs hosted at datatorag.com, or on your own infrastructure under the MIT license.

Website · Docs · Status · Changelog · Skills

Try it in 60 seconds

Setup is two connections, and both are needed:

  1. Connect your accounts. Sign in at datatorag.com/dashboard and connect Google, Atlassian or Notion. Google's consent screen arrives with every box unticked: tick "Select all", or the services you want.
  2. Connect your AI client to https://datatorag.com/mcp, then sign in with the same email when the client asks.

Claude (web and Desktop). Customize, then Connectors, then Add, then "Add custom connector". Paste the URL and leave the advanced OAuth fields empty.

Claude Code.

claude mcp add --transport http datatorag https://datatorag.com/mcp

Cursor and other clients that take a JSON config.

{

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

ChatGPT. Settings, then Connectors, enable Developer mode, then Create, and paste the URL.

The getting started guide has screenshots of each step. Every client connects with OAuth.

The server is listed in the official MCP registry as com.datatorag/mcp-gateway; server.json is the listing.

Screenshots

The agent in the dashboard runs the same tools against your connected accounts, with no client setup.

An upload link takes one file from your computer, up to 25 MB, and answers its size and SHA-256.

The status page shows the latest end-to-end run against production, by service.

Connectors

Tool counts are from the code as of October 2026: 133 tools in the three connectors, and 10 built into the gateway.

ConnectorToolsServicesDocs
Google Workspace (plugins/gws-mcp)87Gmail, Calendar, Drive, Docs, Sheets, Slides, Contacts, Tasksdocs
Atlassian (plugins/atlassian-mcp)28Jira, Confluencedocs
Notion (plugins/notion-mcp)18Pages, databases, commentsdocs
Gateway built-ins10Connected accounts, skills, file upload and download links, a connectivity checkdocs

The three connectors live in this repository under plugins/ and ship inside the gateway's image. A client only sees the tools for services its user has connected.

What makes it different

Several accounts per service. Connect a work and a personal Google account, or two Notion workspaces, under one login, and pick a default. Every connector tool takes an account argument to choose one (how we built it).

Responses sized for a context window. Tools return what the model needs rather than the raw API response. A two-page Google Doc comes back as 2 to 3 KB of text instead of 50 KB or more of JSON (the write-up).

OAuth per user. Each person grants access to their own accounts, and the gateway refreshes the grants. A connector receives only the calling user's access token, never a shared credential.

Files move between services without passing through the chat. A file reference names an email, an attachment or a Drive file, and the gateway carries it to Jira, Drive or an email in one call, answering with its size and SHA-256. Files from your computer arrive through a single-use upload link (file references).

Skills. Ready-made workflows, such as a morning brief or inbox triage, that run in the dashboard, on a schedule, or from any client as MCP prompts (skills, announcement).

A public status page. A test run calls the tools on production the way a user would and publishes what works, by service (status).

Architecture

In text:

  1. Client. Any MCP client sends Streamable HTTP to POST /mcp with a bearer token: an OAuth access token from the gateway's own authorization server, the only credential it accepts.
  2. Gateway (apps/gateway, one Node.js process: Express plus Next.js). It authenticates the bearer, opens or reuses the session, and answers tools/list from the tools table in Postgres, filtered to the services the user has connected. A tools/call is split on __ into the plugin and the tool, the user's token for that service is resolved (and refreshed if expired), and the call is forwarded to the plugin. Every call is metered. The same process serves the dashboard and its agent, the docs, the changelog and the status page.
  3. Built-ins. list_connected_accounts, skills_*, file_upload_link and file_download_link are answered by the gateway itself, with no plugin and no registry row.
  4. Plugins. Each connector is an MCP server under plugins/. The gateway starts each one as a child process under its own non-root account, with an environment of PATH, NODE_ENV and PORT only, and passes the user's token on each call in the X-User-Token header. A crashing plugin is restarted up to three times a minute, and /health reports each plugin as up or down.
  5. Registry. Postgres holds users, connected accounts, provider tokens and the tool registry (name, description and input schema for each plugin tool). Changes to the registry in production are SQL files under registry/, applied by the registry workflow after an approval.

Self-hosting

Prerequisites
  • Node.js 20 or later and pnpm 9.
  • A Postgres database, and its connection string as DATABASE_URL. Any Postgres works; nothing here starts one for you.
  • An OAuth client for each provider you want: Google (one client for sign-in, a second for Workspace scopes), Atlassian, Notion.
Run the gateway
pnpm install

pnpm -r --filter "./packages/*" run build # the gateway reads these packages' built output

cp .env.example .env # then fill in DATABASE_URL, CONNECTION_TOKEN_KEYS and the OAuth clients pnpm --filter @datatorag-mcp/db db:migrate # schema changes are never applied on start

pnpm dev:gateway

The gateway listens on http://localhost:8285 (set by GATEWAY_PORT):

PathWhat it is
/mcpThe MCP endpoint
/dashboardSign in, connect accounts, the agent
/docs/getting-startedThe docs
/healthLiveness, and each plugin's state
/.well-known/oauth-authorization-serverOAuth metadata for MCP clients

On a laptop the gateway loads plugins from ~/.datatorag/plugins, or from DATATORAG_PLUGINS_DIR when it is set. Build them with pnpm --filter @datatorag-mcp/gws-mcp run build (and the same for atlassian-mcp and notion-mcp).

Environment variables

The full list, with comments, is in .env.example, and the schema that validates it is packages/config/src/index.ts. The ones a self-host needs:

VariablePurpose
DATABASE_URLPostgres connection string. Required
CONNECTION_TOKEN_KEYSKeys the provider tokens are encrypted with: : , comma separated, the first encrypts and all decrypt. Required; make one with openssl rand -base64 32
GATEWAY_PORT, GATEWAY_BASE_URLPort, and the public URL OAuth redirects are built from
GOOGLE_CLIENT_ID, GOOGLE_CLIENT_SECRETGoogle sign-in for the dashboard
GOOGLE_GWS_CLIENT_ID, GOOGLE_GWS_CLIENT_SECRETGoogle Workspace connections
ATLASSIAN_CLIENT_ID, ATLASSIAN_CLIENT_SECRETJira and Confluence connections
NOTION_OAUTH_CLIENT_ID, NOTION_OAUTH_CLIENT_SECRETNotion connections
SLACK_CONNECTOR_CLIENT_ID, SLACK_CONNECTOR_CLIENT_SECRET, SLACK_CONNECTOR_TEAM_IDSlack connections, for one workspace and admins only; optional
ANTHROPIC_API_KEY, PLAYGROUND_MODELThe dashboard agent; empty turns it off
STRIPE_*Billing; optional
POSTHOG_API_KEY, SLACK_BOT_TOKEN, BREVO_API_KEYAnalytics, notifications and email; each is off when empty
Production

Production runs the image built from apps/gateway/Dockerfile, which carries the three plugins. A merge to main builds and publishes it (build.yml), and a deploy is dispatched by hand and approved (release.yml), starting it with docker/docker-compose.prod.yml.

Project structure

apps/gateway/          The product: MCP gateway, OAuth server, dashboard, site

server.ts Express entry: /mcp, /oauth, /auth, /files, /health src/gateway/ Tool routing, auth, plugin manager, file references, metering src/app/ Next.js app: dashb

Only the beginning is shown; read the rest in the repo

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