ReportDash DataStore

The ReportDash Datastore MCP (Model Context Protocol) server provides a standardized interface for AI assistants to query your connected advertising and…

Community: Submitted by a user or imported; check the owner before granting accessOnlineNo sign-inGlobalFreeRead-only

What it can do

  • List Sources: List connected sources for the authenticated user
  • List Tables: List tables of sources
  • Describe Table: Return schema metadata for a table (columns and its types).

What data it sees

Do you need an account

No: the server works without sign-in

The ReportDash Datastore MCP (Model Context Protocol) server provides a standardized interface for AI assistants to query your connected advertising and analytics platforms including Facebook Ads, Google Ads, Instagram, LinkedIn, TikTok, and more.

How to connect

How to connect ReportDash DataStore to Claude

The server address to paste into Claude settings:

https://datastore--reportdash.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect ReportDash DataStore to ChatGPT

The server address to paste into ChatGPT settings:

https://datastore--reportdash.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect ReportDash DataStore to Cursor

The server address to paste into Cursor settings:

https://datastore--reportdash.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (7)

Raw names from tools/list. Only developers need these.

list_sourcesList connected sources for the authenticated user
list_tablesList tables of sources
describe_tableReturn schema metadata for a table (columns and its types).
query_tableRun a read-only query against one table using a structured query object. Supports selecting columns, applying filters, grouping and aggregating metrics, ordering results, and limiting rows. Raw SQL is not accepted.
list_viewsList all available Datastore views. Views are curated, unified datasets that combine multiple sources—either across platforms (e.g., Google Ads + Facebook Ads) or within the same platform (e.g., multiple Google Ads accounts).
describe_viewReturn schema metadata for a data view (columns and its types).
query_viewRun a read-only query against one view using a structured query object. Supports selecting columns, applying filters, ordering results, and limiting rows. Raw SQL is not accepted. Grouping and aggregate not supported.