Content Tools

aidata.stream

MCP server for the aidata/AI Data Stream site that provides full-text search, page retrieval, page listing, and structured pricing data.

2 endpoints4 known tools

ENDPOINT 1

https://app.aidata.stream/mcp/u

No auth detected

Known tools 0

No tool metadata was available in the registry cache.

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.aidata-stream]
url = "https://app.aidata.stream/mcp/u"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "aidata-stream": {
      "type": "http",
      "url": "https://app.aidata.stream/mcp/u"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: aidata-stream
Remote MCP URL: https://app.aidata.stream/mcp/u

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "aidata-stream": {
      "url": "https://app.aidata.stream/mcp/u"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "aidata-stream": {
      "type": "http",
      "url": "https://app.aidata.stream/mcp/u"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "aidata-stream",
  "transport": "streamable-http",
  "url": "https://app.aidata.stream/mcp/u"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

ENDPOINT 2

https://aidata.stream/mcp

No auth detected

MCP server metadata

Name: AI Data Stream Site Search
Version: 1.0.0

Capabilities

tools

Server instructions

Read-only search over the public aidata.stream marketing site (docs, blog, changelog, pricing, FAQ). Start with list_pages or search_site, then get_page for full text. This is not the customer data connector; existing customers connect their own analytics through the app (see /docs/connect-your-own-ai/).

Known tools 4

search_site

Full-text search across aidata.

Inferred read-only

get_page

Fetch the full text of one aidata.

Inferred read-only

list_pages

List the pages on aidata.

Inferred read-only

get_pricing

Current AI Data Stream plans as structured data: monthly and annual prices in USD, GBP and EUR, what each tier includes, trial terms, extra seat cost and sign-up links.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.ai-data-stream-site-search]
url = "https://aidata.stream/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "ai-data-stream-site-search": {
      "type": "http",
      "url": "https://aidata.stream/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: ai-data-stream-site-search
Remote MCP URL: https://aidata.stream/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "ai-data-stream-site-search": {
      "url": "https://aidata.stream/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "ai-data-stream-site-search": {
      "type": "http",
      "url": "https://aidata.stream/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "ai-data-stream-site-search",
  "transport": "streamable-http",
  "url": "https://aidata.stream/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for aidata.stream was fetched 2026-10-14T16:54:12.673Z.

Trust status Trusted

aidata.stream is assessed as Trusted: Domain has an established technology history spanning over a year.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.