data.gov.my / OpenDOSM (Department of Statistics Malaysia) — official Malaysian open-data API.
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Scored across 43 tools
Most tools have distinct, heavily documented purposes, but there is real overlap: ask_pipeworx / ask_pipeworx_beta / ask_pipeworx_grounded / deep_research all route questions (with beta explicitly admitting it currently equals stable), and the six polymarket_* tools plus bet_research/kalshi_weather_edge/release_calendar_markets form a crowded, partially interchangeable cluster. Descriptions mitigate much of this, but an agent can plausibly misselect among the router and prediction-market tools.
Predominantly snake_case with a readable verb_noun or noun_phrase style (get_dataset, resolve_entity, validate_claim, entity_profile). A few bare verbs (remember, forget, recall) and some noun-only names (company_facts, resolution_audit) deviate slightly, but the convention is internally consistent and predictable.
43 tools is far beyond a well-scoped set, and the count is especially mismatched for a server named 'Opendosm My' (Malaysian statistics) that only contributes 3 opendosm_* tools while carrying dozens of unrelated Pipeworx gateway tools. This bundled breadth makes the surface unwieldy and the name misleading.
For the apparent Malaysian-statistics purpose, the three opendosm tools cover listing, metadata and record fetch, which is a reasonable read-only surface but lacks any full-catalogue/subset discovery (by the server's own admission there is no listing endpoint, only a curated set) and no search. The broader Pipeworx tool set is extensive but several domains (e.g. court calendars, non-NPM package registries) are explicitly noted as unsupported or gaps.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
ai_visibility_check1 field changedInput schema / examplesAdded value: +[
+ {
+ "entity": "Tesla"
+ }
+]archive_comparearchive_evidenceask_pipeworx3 fields changedInput schema / properties / askAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / messageAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / question / descriptionPrevious value: -"Your question or request in natural language. Accepts query, q, prompt, text, input as aliases."New value: +"Your question or request in natural language. Accepts query, q, prompt, text, input, ask, message as aliases."ask_pipeworx_beta4 fields changedInput schema / examplesAdded value: +[
+ {
+ "question": "What is the current US unemployment rate?"
+ }
+]Input schema / properties / askAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / messageAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / question / descriptionPrevious value: -"Your question or request in natural language. Accepts query, q, prompt, text, input as aliases."New value: +"Your question or request in natural language. Accepts query, q, prompt, text, input, ask, message as aliases."ask_pipeworx_grounded4 fields changedInput schema / examplesAdded value: +[
+ {
+ "question": "What was Apple's fiscal 2023 revenue?"
+ }
+]Input schema / properties / askAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / messageAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / question / descriptionPrevious value: -"Your question in natural language. Accepts query, q, prompt, text, input as aliases."New value: +"Your question in natural language. Accepts query, q, prompt, text, input, ask, message as aliases."classify_rowcompany_factscompare_entities1 field changedInput schema / examplesAdded value: +[
+ {
+ "type": "company",
+ "values": [
+ "AAPL",
+ "MSFT"
+ ]
+ }
+]deep_research9 fields changedInput schema / examplesAdded value: +[
+ {
+ "depth": "quick",
+ "question": "What is the current US unemployment rate and how has it changed over the past year?"
+ }
+]Input schema / properties / askAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / inputAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / messageAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / promptAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / qAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / queryAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}Input schema / properties / question / descriptionPrevious value: -"The research question, in natural language. Broad/multi-part is fine — decomposition is the point."New value: +"The research question, in natural language. Broad/multi-part is fine — decomposition is the point. Accepts query, q, prompt, text, input, ask, message as aliases."Input schema / properties / textAdded value: +{
+ "description": "Alias for question.",
+ "type": "string"
+}entity_profile1 field changedInput schema / examplesAdded value: +[
+ {
+ "type": "company",
+ "value": "AAPL"
+ }
+]forget4 fields changedInput schema / properties / kAdded value: +{
+ "description": "Alias for key.",
+ "type": "string"
+}Input schema / properties / key / descriptionPrevious value: -"Memory key to delete"New value: +"Memory key to delete. Accepts name, k, label as aliases."Input schema / properties / labelAdded value: +{
+ "description": "Alias for key.",
+ "type": "string"
+}Input schema / properties / nameAdded value: +{
+ "description": "Alias for key.",
+ "type": "string"
+}generate_llms_txt1 field changedInput schema / examplesAdded value: +[
+ {
+ "url": "https://pipeworx.io"
+ }
+]kalshi_weather_edgepipeworx_feedback1 field changedInput schema / examplesAdded value: +[
+ {
+ "message": "Fleet #2184 smoke test: verifying pipeworx_feedback example call returns non-empty.",
+ "type": "other"
+ }
+]pipeworx_trending1 field changedInput schema / examplesAdded value: +[
+ {
+ "window": "7d"
+ }
+]polymarket_arbitrage1 field changedInput schema / examplesAdded value: +[
+ {
+ "topic": "Fed rate decision"
+ }
+]polymarket_edge_tracker1 field changedInput schema / examplesAdded value: +[
+ {
+ "days": 14,
+ "window": "1wk"
+ }
+]polymarket_edges3 fields changedInput schema / examplesAdded value: +[
+ {
+ "limit": 5,
+ "window": "1wk"
+ }
+]Input schema / properties / min_edge_pp / descriptionPrevious value: -"Minimum |edge| in percentage points to include (default 0.5). Edge is evaluated NET of slippage."New value: +"Minimum |edge| in percentage points to include (default 0.5). Edge is evaluated NET of slippage and Polymarket's own taker fee."Input schema / properties / slippage_pp / descriptionPrevious value: -"Assumed execution slippage in percentage points per leg (default 0.3). Subtracted from raw |edge| before ranking and Kelly sizing. Polymarket has zero trading fees as of 2024 but bid/ask + thin depth typically eats 20-50bp per trade. Bump for very thin partitions; drop to 0 if you have a smarter fill model."New value: +"Assumed execution slippage in percentage points per leg (default 0.3), for bid/ask + thin depth cost that a last-trade price does not show. Subtracted from raw |edge| before ranking and Kelly sizing, ON TOP OF Polymarket's own taker fee — which is NOT zero (rate 0.04-0.07 depending on category, read off each market's own published fee schedule; see fees_pp_applied on every row and fees.ts for the full schedule). Bump slippage for very thin partitions; drop to 0 if you have a smarter fill model — the fee still applies regardless."polymarket_fill_risk1 field changedInput schema / examplesAdded value: +[
+ {
+ "market": "will-the-fed-increase-interest-rates-by-25-bps-after-the-december-2026-meeting-20260729232808636",
+ "side": "buy_yes",
+ "size_usd": 1000
+ }
+]recall4 fields changedInput schema / properties / kAdded value: +{
+ "description": "Alias for key.",
+ "type": "string"
+}Input schema / properties / key / descriptionPrevious value: -"Memory key to retrieve (omit to list all keys)"New value: +"Memory key to retrieve (omit to list all keys). Accepts name, k, label as aliases."Input schema / properties / labelAdded value: +{
+ "description": "Alias for key.",
+ "type": "string"
+}Input schema / properties / nameAdded value: +{
+ "description": "Alias for key.",
+ "type": "string"
+}recent_changes1 field changedInput schema / examplesAdded value: +[
+ {
+ "since": "30d",
+ "type": "company",
+ "value": "AAPL"
+ }
+]release_calendar_marketsremember10 fields changedInput schema / examplesAdded value: +[
+ {
+ "key": "target_ticker",
+ "value": "AAPL"
+ }
+]Input schema / properties / contentAdded value: +{
+ "description": "Alias for value.",
+ "type": "string"
+}Input schema / properties / dataAdded value: +{
+ "description": "Alias for value.",
+ "type": "string"
+}Input schema / properties / kAdded value: +{
+ "description": "Alias for key.",
+ "type": "string"
+}Input schema / properties / key / descriptionPrevious value: -"Memory key (e.g., \"subject_property\", \"target_ticker\", \"user_preference\")"New value: +"Memory key (e.g., \"subject_property\", \"target_ticker\", \"user_preference\"). Accepts name, k, label as aliases."Input schema / properties / labelAdded value: +{
+ "description": "Alias for key.",
+ "type": "string"
+}Input schema / properties / nameAdded value: +{
+ "description": "Alias for key.",
+ "type": "string"
+}Input schema / properties / textAdded value: +{
+ "description": "Alias for value.",
+ "type": "string"
+}Input schema / properties / vAdded value: +{
+ "description": "Alias for value.",
+ "type": "string"
+}Input schema / properties / value / descriptionPrevious value: -"Value to store (any text — findings, addresses, preferences, notes)"New value: +"Value to store (any text — findings, addresses, preferences, notes). Accepts content, text, data, v as aliases; a non-string value is stored as JSON."research_rowresolution_auditresolution_diffresolve_entity1 field changedInput schema / examplesAdded value: +[
+ {
+ "type": "company",
+ "value": "AAPL"
+ }
+]scan_competitor_ai_presence1 field changedInput schema / examplesAdded value: +[
+ {
+ "entities": [
+ "Pipeworx",
+ "Zapier"
+ ]
+ }
+]scan_dependency1 field changedInput schema / examplesAdded value: +[
+ {
+ "package": "left-pad"
+ }
+]search_within1 field changedInput schema / examplesAdded value: +[
+ {
+ "query": "supply-chain risk",
+ "text": "Apple Inc. reported fiscal 2023 revenue of $383.285 billion, driven by strong iPhone and Services growth. Net income was $96.995 billion. The company faced supply-chain risk in China during the quarter."
+ }
+]subscribe2 fields changedInput schema / properties / params / descriptionPrevious value: -"Type-specific filter. sec_8k: {ticker:\"AAPL\", items?:[\"5.02\",\"1.01\"]}. polymarket_edge: {topic:\"fed\", min_spread_bps?:500}. fred_series: {series_id:\"UNRATE\"}. patent_grant: {applicant:\"Apple Inc.\"}. clinical_trial: {sponsor?:\"Pfizer\", condition?:\"lung cancer\", phase?:\"PHASE3\"} (sponsor or condition required)."New value: +"Type-specific filter. sec_8k: {ticker:\"AAPL\", items?:[\"5.02\",\"1.01\"]}. polymarket_edge: {topic:\"fed\", min_spread_bps?:500}. fred_series: {series_id:\"UNRATE\"}. patent_grant: {applicant:\"Apple Inc.\"}. clinical_trial: {sponsor?:\"Pfizer\", condition?:\"lung cancer\", phase?:\"PHASE3\"} (sponsor or condition required). form_d: {state?:\"CA\", industry?:\"Biotechnology\", min_amount?:500000, exemption?:\"06B\"} (all optional — omit all to watch every new Form D nationwide). news_keyword: {query:\"\\\"semiconductor sanctions\\\"\", lang?:\"eng\", domains?:[\"reuters.com\"]} (query required). job_post: EITHER {ats:\"greenhouse\", board_token:\"acme\"} (exact board) OR {domain:\"acme.com\"} (auto-detected), plus optional title_query/location_query substrings. tool_diff: {tool:\"form5500\", args?:{...}, fields:[\"headcount\"], schedule:\"daily\"} — re-runs that tool on schedule and fires when the named fields change; tool must be read-only and not need a Pipeworx-held platform key; schedule \"hourly\" needs the paid tier. new_entity: {state:\"CO\", name_query?:\"dental\", entity_type?:\"limited liability\"} — state is required and must be one of FL, NY, CO, OR, CT, TX, PA. Unknown keys in form_d/news_keyword/job_post/tool_diff/new_entity params are rejected at subscribe time."Input schema / properties / type / enumPrevious value: -[
- "sec_8k",
- "polymarket_edge",
- "fred_series",
- "patent_grant",
- "clinical_trial"
-]New value: +[
+ "sec_8k",
+ "polymarket_edge",
+ "fred_series",
+ "patent_grant",
+ "clinical_trial",
+ "form_d",
+ "news_keyword",
+ "job_post",
+ "tool_diff",
+ "new_entity"
+]suggest_questions1 field changedInput schema / examplesAdded value: +[
+ {
+ "topic": "finance"
+ }
+]validate_claim1 field changedInput schema / examplesAdded value: +[
+ {
+ "claim": "Apple's fiscal 2023 revenue was $383 billion"
+ }
+]bet_research2 fields changedInput schema / examplesPrevious value: -[
- {
- "market": "will-bitcoin-reach-100k-in-july-2026"
- },
- {
- "market": "https://polymarket.com/event/will-bitcoin-hit-150k-by-june-30-2026"
- }
-]New value: +[
+ {
+ "market": "will-kristi-noem-win-the-2028-republican-presidential-nomination"
+ },
+ {
+ "market": "https://polymarket.com/event/will-kristi-noem-win-the-2028-republican-presidential-nomination"
+ }
+]Input schema / properties / market / descriptionPrevious value: -"Polymarket slug (\"will-bitcoin-hit-150k-by-june-30-2026\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k by June 30?\")"New value: +"Polymarket slug (\"will-kristi-noem-win-the-2028-republican-presidential-nomination\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k?\"). Dated slugs stop resolving once they settle — Polymarket de-indexes resolved markets — so prefer an undated one."polymarket_kalshi_spread2 fields changedInput schema / examplesPrevious value: -[
- {
- "topic": "fed"
- },
- {
- "topic": "btc"
- }
-]New value: +[
+ {
+ "topic": "fed"
+ },
+ {
+ "topic": "btc"
+ },
+ {
+ "topic": "bitcoin"
+ },
+ {
+ "topic": "fed rate decision"
+ }
+]Input schema / properties / topic / descriptionPrevious value: -"Pre-mapped: fed | btc | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president"New value: +"Subject to compare. Canonical keys: fed | btc | eth | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president — but aliases and keywords resolve too (\"bitcoin\", \"fed rate decision\", \"ethereum\", \"inflation\", \"s&p 500\", \"us recession\", \"next pope\", \"2028 election\"). Check resolution.topic_matched_by in the response: \"exact\"/\"alias\" is a curated pairing, \"phrase\"/\"token\" is a keyword guess."Read-only discovery for 440 Malaysian public datasets with freshness, licence, and provenance.
This MCP server provides seamless access to Malaysia's government open data, including datasets, w…
Official public & government APIs, dozens of countries: registers, statistics, open data. Keyless.
UK Office for National Statistics dataset catalogue + Beta JSON API
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