INDIVIDUAL MCP TOOL

search_datasets

Search DataPulse MY's 389 Malaysian public datasets by natural-language query.

data-pulse.mynone authenticationAvailability not checked

LIVE ENDPOINT

https://mcp.data-pulse.my/mcp

No auth detected

Connect to this endpoint to inspect the live schema for search_datasets and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.datapulse-my]
url = "https://mcp.data-pulse.my/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "datapulse-my": {
      "type": "http",
      "url": "https://mcp.data-pulse.my/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: datapulse-my
Remote MCP URL: https://mcp.data-pulse.my/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": {
    "datapulse-my": {
      "url": "https://mcp.data-pulse.my/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "datapulse-my": {
      "type": "http",
      "url": "https://mcp.data-pulse.my/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "datapulse-my",
  "transport": "streamable-http",
  "url": "https://mcp.data-pulse.my/mcp"
}

MCP Inspector

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

get_dataset — Return full detail for one dataset id, including its latest health status and last-verified timestamp, content_freshness_date, and freshness_signal_source (last_modified, content_parse, or none).
find_stale — Return datasets whose status is aging, stale, or degraded, plus datasets missing from the latest health snapshot.
find_anomalies — Return datasets flagged by the latest published anomaly detection (anomalies), ranked by how far the observed update interval exceeds its threshold.
find_deteriorating — Return datasets whose published freshness trend is deteriorating, ranked by staleness slope.
find_recovering — Return datasets whose published freshness trend is recovering, with the fastest staleness reductions first.
find_unreliable — Return datasets whose evaluated publish-reliability grade is at or below a threshold (the unreliable ones), with the worst grades and lowest on-time percentages first.
find_schema_drift — Return datasets with published structural or record-count drift evidence, ranked with structural changes first.
check_reconciliation — Return the published cross-source reconciliation group for a dataset name or id, including per-member counts, dates, statuses, tolerances, and contextual deltas.