MCP server

DataPulse

io.github.r3dz4r/datapulse-my

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Read-only discovery for 440 Malaysian public datasets with freshness, licence, and provenance.

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

19

Token cost

About 6,918 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http datapulse-my https://mcp.data-pulse.my/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

{"mcpServers":{"datapulse-my":{"httpUrl":"https://mcp.data-pulse.my/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add datapulse-my https://mcp.data-pulse.my/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"datapulse-my","server_url":"https://mcp.data-pulse.my/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"datapulse-my","server_url":"https://mcp.data-pulse.my/mcp"}

Tools

• check_reconciliation ~307 tokens
  Return the published cross-source reconciliation group for a dataset name or id, including per-member counts, dates, statuses, tolerances, and contextual deltas. A discrepancy requires human review and does not prove either source is wrong. Use it to compare a dataset with its published cross-source
• find_anomalies ~453 tokens
  Return datasets flagged by the latest published anomaly detection (anomalies), ranked by how far the observed update interval exceeds its threshold. Optionally require a minimum publish-reliability grade; includes pipeline-computed anomaly and reliability evidence so agents do not recompute it. Use
• find_by_licence ~273 tokens
  Return all datasets with the given licence, summarised. Use to enumerate what's available under a specific licence for compliance/reuse scoping. Use it to enumerate one licence; do not use it to discover by topic or inspect a dataset's citation context—use search_datasets or get_provenance instead.
• find_deteriorating ~374 tokens
  Return datasets whose published freshness trend is deteriorating, ranked by staleness slope. Optionally require a minimum historical anomaly rate; includes pipeline-computed trend and reliability evidence so agents do not recompute it. Use it for worsening freshness trends; do not use it for anomali
• find_recovering ~274 tokens
  Return datasets whose published freshness trend is recovering, with the fastest staleness reductions first. Includes pipeline-computed trend and publish-reliability evidence. Use it for improving freshness trends; do not use it for deterioration, anomalies, reliability grades, or structural drift—us
• find_schema_drift ~368 tokens
  Return datasets with published structural or record-count drift evidence, ranked with structural changes first. Optionally require a minimum number of structural transitions; includes pipeline-computed evidence so agents do not infer drift from freshness alone. Use it for structural or record-count
• find_stale ~281 tokens
  Return datasets whose status is aging, stale, or degraded, plus datasets missing from the latest health snapshot. Use when an agent needs to know which data has a freshness or schema-validity risk. Use it to enumerate freshness or schema-risk candidates; do not use it for anomalies, trends, reliabil
• find_unreliable ~367 tokens
  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. Reliability measures timeliness of successful freshness observations, not uptime; sample days are included so agents can judge evide
• get_data_passport ~316 tokens
  Return one bounded, machine-readable Dataset Passport v1 for a canonical dataset ID. It reads the published Passport artifact only; it does not fetch an upstream source or create evidence. The Passport describes observed metadata and evidence availability, not semantic truth, completeness, certifica
• get_dataset ~310 tokens
  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). Use to fetch the provenance/citation metadata for a dataset found via search_datasets and distinguish un
• get_evidence ~393 tokens
  Use for a deep evidence audit or to inspect a provenance and evidence receipt. Returns the complete published evidence receipt for one dataset: probe time, transport, access dependency, freshness, schema drift / record-count drift, tolerance, status, anomaly fields, and receipt/evidence references.
• get_freshness_summary ~186 tokens
  Return a freshness-at-a-glance summary of the published catalogue: fresh, aging, stale, and reference counts plus the latest health check time. Use it for catalogue-level freshness context; do not use it to enumerate affected datasets—use find_stale instead. It reads the latest published snapshot, s
• get_provenance ~456 tokens
  Use when asked 'can I cite this source?', for licence and attribution, or for citation-ready provenance. Returns source, steward, licence/attribution context, canonical URL, and compact published evidence context: probe time, transport, access dependency, freshness signal, schema drift / record-coun
• search_datasets ~548 tokens
  Use for discovery only: find DataPulse's 440 Malaysian public datasets by topic, source, or licence—for example, 'Malaysian public data inflation', licence and attribution, or a government dataset source. Returns ranked matches with id, title, source, licence, published status, and score. This is no
• trust_verdict ~326 tokens
  Return published attestation facts, the unsigned methodology-versioned trust score, numeric components, and component_availability reasons, plus existing health/trend/drift/reconciliation evidence for one canonical dataset id, e.g. 'fuelprice'. This tool does not re-probe or verify the signature; ca
• usage_summary ~374 tokens
  Aggregate anonymous tool usage for an inclusive ISO date range, e.g. 2026-08-01 to 2026-08-07. Returns `total_calls`, `by_outcome`, `by_tool`, `by_dataset`, `trust_verdict_calls` (the count of trust_verdict records regardless of outcome or result shape), and `trust_distribution` (counts of returned
• verify_attestation ~440 tokens
  Use to verify a signed published probe attestation after an evidence audit. Returns L1 signature, key, time, and chain-link checks; optional L2 replay of daily heads to a Git-tag anchor; and L3 scope, which requires verify_evidence for live transport. A valid signature proves attestation integrity a
• verify_dataset ~456 tokens
  This is the preferred single-call pre-trust check for 'is this dataset current?', stale, unknown-freshness, degraded, or browser-dependent questions, and whenever an agent must verify before relying on data. Returns dataset metadata, published evidence and fail-closed signed receipt verification wit
• verify_evidence ~416 tokens
  Use when a fresh, rate-limited live-vs-published comparison is needed for a direct-access dataset, for example after asking whether a government dataset is reachable now. Performs a rate-limited live GET and returns comparable transport receipts plus a match, mismatch, unreachable, or not_verifiable

Browse

• GitHub tools
• Website monitoring
• Legal research
• GitHub and code hosting
• Government and public data

Related MCP servers

• Opendosm My
  data.gov.my / OpenDOSM (Department of Statistics Malaysia) — official Malaysian open-data API.
• AgentNative: Public Data, Government Datasets, Federal Statistics & Official Records
  Normalized official data with provenance, aggregations, insights, free samples and agent access.
• Lazyweb Public Discovery
  Keyless, read-only Lazyweb discovery for agents evaluating fit or researching public evidence.
• Calcgrid
  China working-day data, UK bank holidays, IANA time zones and deterministic business deadlines.
• MORVS
  Keyless, read-only US public records for agents: SEC, FDA, enforcement, sanctions, market data.
• my quant doesn’t speak english — editorial discovery
  Read-only discovery and bounded access to a finite market briefing with evidence boundaries.
• INITE Atlas
  AI tools catalogue for agents: match a need to tools, compare prices, see price and API changes.
• SYMBaiEX Evidence MCP
  Authenticated public evidence search, verification, research jobs, exports, and webhooks.

Badge for your README

[![AptLynx](https://aptlynx.net/badge/io.github.r3dz4r/datapulse-my.svg)](https://aptlynx.net/servers/io.github.r3dz4r/datapulse-my)

Listing text is written by the maker; AptLynx lists tools and does not vouch for them. Find another tool · Browse by topic · For agents