MDN Search MCP
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Scored across 39 tools
The set contains several overlapping families: three ask_pipeworx variants (one explicitly identical today), multiple company/entity tools (entity_profile, company_facts, compare_entities, recent_changes), and a large cluster of prediction-market tools with similar analytical purposes. Individual descriptions are detailed, but an agent choosing among them would frequently face unclear boundaries.
Most names are snake_case and there are useful prefixes like ask_pipeworx, polymarket_, and resolution_, so the set remains readable. However, there is no unified verb_noun pattern: MDN tools are bare nouns/verbs (bcd, summary, search), memory tools are bare imperatives (remember, recall, forget), and utility tools mix verbs like scan, generate, validate, and discover.
39 tools is a heavy surface for a server ostensibly named 'Mdn Search'; only a handful of tools relate to MDN while the rest cover an unrelated data platform, prediction markets, subscriptions, and memory utilities. The count might be defensible for a broad standalone platform, but as one coherent MCP server it is overstuffed and imposes a large selection burden.
The Pipeworx side covers querying, grounded answers, deep research, claim verification, entity resolution, profiles, comparisons, change feeds, subscriptions, and prediction-market analysis fairly thoroughly. But the MDN side that names the server is thin (search, summary, bcd) with no full-page retrieval or navigation surface, and there is no tool to fetch arbitrary citation records directly. Coverage is broad but uneven and unfocused.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
ai_visibility_check1 field changedInput schema / examplesAdded value: +[
+ {
+ "entity": "Tesla"
+ }
+]ask_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."company_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."resolution_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."
+ }
+]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."FusionAuth Documentation MCP server
PLOS Search MCP — Solr-backed search over all PLOS journals.
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