"A server for finding information from Wikipedia" matching MCP tools:

• get_tier1_recommendationsA

  Tier1 IT AssessmentA

  Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.

  ConnectorNo auth

• get_entity_profileA

  MentionForgeA

  Return a Wikipedia and Wikidata identity card for a company, product, or brand. query is a name, not a URL (URLs are stripped); language picks the Wikipedia host (default en, e.g. es → es.wikipedia.org) and does not translate the query or run listening; omit language unless you need a non-English wiki page; language never changes billing because this tool is free. Use this free grounding pulse when you only need who or what an entity is; never use it for social listening — for cited mentions use research_mentions; for liveness use get_health instead; for price use get_pricing instead. Never charges; hits Wikipedia/Wikidata only; this origin rate-limits discovery pulses; no payment headers.

  ConnectorNo auth

• wikipedia_search_articlesA

  wikipedia-mcp-serverA

  Search Wikipedia articles by full-text query. Returns ranked results with plain-text titles, short descriptions, Wikidata QIDs, snippets (HTML stripped), page IDs, and word counts — the description is usually enough to tell same-named articles apart without a summary call per result. When Wikipedia has a spelling correction for the query, it is returned as suggestion. Best when the exact article title is unknown or when multiple articles on a topic are needed. Pass a result title to wikipedia_get_summary, wikipedia_get_article, or wikipedia_get_sections for follow-up reads. Use offset to page beyond the first result page. Supports all Wikipedia language editions.

  ConnectorNo auth

• wikiA

  A.U.G.U.R Synapse · Web & ResearchA

  Wikipedia in any language: search a topic and get the best article's summary, description, thumbnail and link — or the full article text. Search + REST summary from Wikipedia. full=true returns the article as plain text (sections kept), capped by max_chars. Disambiguation pages are flagged with alternatives. When to use: For encyclopedic topics; for papers use arxiv_search or doi_lookup. Price: free. Errors: returns isError with a message for invalid input or an upstream failure (not charged).

  ConnectorNo auth

• wikiA

  A.U.G.U.R Foresight · Web & ResearchA

  Wikipedia in any language: search a topic and get the best article's summary, description, thumbnail and link — or the full article text. Search + REST summary from Wikipedia. full=true returns the article as plain text (sections kept), capped by max_chars. Disambiguation pages are flagged with alternatives. When to use: For encyclopedic topics; for papers use arxiv_search or doi_lookup. Price: free. Errors: returns isError with a message for invalid input or an upstream failure (not charged).

  ConnectorNo auth

• copilot_launchA

  EmailchaserA

  Creates a DRAFT campaign from a sequence. With a LinkedIn Sales Navigator search it also starts finding + verifying leads for it; without one the draft holds the emails and leads can be added from Lead Finder or a CSV upload. Nothing sends — the campaign stays a draft until you review and launch it. Returns the new campaign id, plus a lead-finding job id when lead finding started.

  ConnectorNo auth

• ignore_findingA

  RelvatoA

  Stop a finding (a warning on a run, by its key from get_run) from counting on this monitor: it stays on the run, marked ignored, but no longer alerts or fails later runs. Undo with unignore_finding. Only do this when the user says the finding is expected.

  Connector

  Destructive

  No auth

• ignore_findingA

  RelvatoA

  Stop a finding (a warning on a run, by its key from get_run) from counting on this monitor: it stays on the run, marked ignored, but no longer alerts or fails later runs. Undo with unignore_finding. Only do this when the user says the finding is expected.

  Connector

  Destructive

  No auth

• get_topic_trends_attentionA

  Web Reader & Search (Tanod)A

  utilpeek: Use when an agent must tell if interest in a topic is rising or fading: Wikipedia, Hacker News and news over time. For the articles use news_search. Returns daily topic trends for 1 to 5 topics: Wikipedia page views per language, Hacker News counts, news mentions, with 7- and 28-day change, spike days, direction and share. Not Google Trends data. Public attention signals, not Google Trends or search volume. `related`: related Wikipedia topics ranked by page views; not search queries and not Google Trends data. Topic = top English Wikipedia hit (see `article.title`). Complete days to yesterday; news only for the last 14 days. Cached 6 h. Bad input is a 422 and an upstream failure a 503 or 504 (not charged). Typically 3 to 15 s (first call for a topic; cached for 6 hours). Price: USD 0.005. Free: 10 utilpeek calls per IP per UTC day. Docs: https://tanod.dev/learn/topic-trends-attention-api.html

  ConnectorNo auth

• get_topic_trends_attentionA

  TanodA

  utilpeek: Use when an agent must tell if interest in a topic is rising or fading: Wikipedia, Hacker News and news over time. For the articles use news_search. Returns daily topic trends for 1 to 5 topics: Wikipedia page views per language, Hacker News counts, news mentions, with 7- and 28-day change, spike days, direction and share. Not Google Trends data. Public attention signals, not Google Trends or search volume. `related`: related Wikipedia topics ranked by page views; not search queries and not Google Trends data. Topic = top English Wikipedia hit (see `article.title`). Complete days to yesterday; news only for the last 14 days. Cached 6 h. Bad input is a 422 and an upstream failure a 503 or 504 (not charged). Typically 3 to 15 s (first call for a topic; cached for 6 hours). Price: USD 0.005. Free: 10 utilpeek calls per IP per UTC day. Docs: https://tanod.dev/learn/topic-trends-attention-api.html

  ConnectorNo auth

• get_topic_trends_attentionA

  Tanod MCP Server (Deprecated)A

  utilpeek: Use when an agent must tell if interest in a topic is rising or fading: Wikipedia, Hacker News and news over time. For the articles use news_search. Returns daily topic trends for 1 to 5 topics: Wikipedia page views per language, Hacker News counts, news mentions, with 7- and 28-day change, spike days, direction and share. Not Google Trends data. Public attention signals, not Google Trends or search volume. `related`: related Wikipedia topics ranked by page views; not search queries and not Google Trends data. Topic = top English Wikipedia hit (see `article.title`). Complete days to yesterday; news only for the last 14 days. Cached 6 h. Bad input is a 422 and an upstream failure a 503 or 504 (not charged). Typically 3 to 15 s (first call for a topic; cached for 6 hours). Price: USD 0.005. Free: 10 utilpeek calls per IP per UTC day. Docs: https://tanod.dev/learn/topic-trends-attention-api.html

  ConnectorNo auth

• signals_wikipediaA

  AutomateLab Citation IntelligenceA

  List Wikipedia articles that reference the given domain. Read-only. One HTTPS GET to the Wikipedia API (en.wikipedia.org/w/api.php?action=query&list=exturlusage). No auth required; no API keys; no rate limits beyond Wikipedia's public API fair-use policy (~1 request/second). Returns article titles and URLs. Wikipedia backlinks are the highest-lift signal for LLM training corpora — a domain cited from Wikipedia is far more likely to appear in AI training data and citation pools. Use lang to query non-English Wikipedias.

  ConnectorNo auth

• update_entry_fieldsA

  Verified HandlesA

  Change an entry’s title, subtitle, description or short name, or remove its “from Wikipedia” credit or name the Wikipedia page it came from — a live edit, as the editor saves one: a new revision, audited. Give only what changes; null clears a field. The description is HTML (sanitised on save). A field you change here is no longer managed by the Wikidata sync; to hand one back, so the next sync refreshes it from the item, use set_wikidata_ownership (relinquish_fields). Dry run by default. To ask a reviewer instead, use propose_entry_change.

  Connector

  Destructive

  OAuth

• x711_web_searchA

  x711A

  Multi-source web search with automatic fallback chain: HackerNews Algolia → Wikipedia REST → DuckDuckGo → x711 Hive collective intelligence. Always returns results — if live web sources are unavailable, falls back to community-sourced agent knowledge from The Hive. Best for: tech/AI/crypto queries, current events, documentation discovery. Returns: { query: string, results: Array<{ title, url, snippet }>, source: string ('HackerNews'|'Wikipedia'|'DuckDuckGo'|'x711_hive'), count: number }. Free tier: 10 calls/day, no API key needed.

  ConnectorNo auth

• x711_web_searchA

  x711 — Universal Agent Gas StationB

  Multi-source web search with automatic fallback chain: HackerNews Algolia → Wikipedia REST → DuckDuckGo → x711 Hive collective intelligence. Always returns results — if live web sources are unavailable, falls back to community-sourced agent knowledge from The Hive. Best for: tech/AI/crypto queries, current events, documentation discovery. Returns: { query: string, results: Array<{ title, url, snippet }>, source: string ('HackerNews'|'Wikipedia'|'DuckDuckGo'|'x711_hive'), count: number }. Free tier: 10 calls/day, no API key needed.

  ConnectorNo auth

• wikidata_get_sitelinksA

  wikidata-mcp-serverA

  Fetch Wikipedia and Wikimedia project article URLs for a Wikidata item. A sitelink maps a site code (e.g., "enwiki") to a Wikipedia article title and URL. Major items can have 300+ sitelinks across languages. Use sites to filter to specific language editions, or wikis_only to return only Wikipedia links. Only Q-IDs (items) have sitelinks — properties (P-IDs) do not.

  ConnectorNo auth

• dcl_evaluate_mevA

  DCL Trust Oracle — AI/LLM Output Audit (x402 MCP)A

  POST-ACTION MEV & Market-Abuse Compliance Screen ($0.03). Text-level screen (not a mempool/transaction analyzer) for front-running/sandwich-attack language, wash trading/layering/spoofing, KYC/AML red flags (mixers, structuring, obscuring fund origin), and pump-and-dump/rug-pull language. Any critical-severity finding, or two or more major-severity findings, returns NO_COMMIT; a single major-severity finding is also returned as NO_COMMIT but with a distinctly higher `confidence` (~0.55 vs ~0.05-0.2 for harder violations) so downstream callers can tell a soft single flag apart from a hard multi-finding block. Each finding includes an illustrative `regulatory_reference` tag (MiFID II, FCA, or an EU AI Act article).

  ConnectorNo auth

• wiki_summaryA

  US Company Intelligence for AI Agents (SEC EDGAR, x402)A

  The plain-language summary of a Wikipedia article in any language edition: title, short description, lead extract, canonical URL, thumbnail and coordinates when the subject has them. Falls back to the best matching title. Query: ?title=Guadeloupe&lang=fr — $0.005000/call, paid per request via x402 (USDC). Use when asked: "wikipedia summary of guadeloupe", "what is x402 on wikipedia", "encyclopedia entry for".

  ConnectorNo auth

• page_summaryA

  Wikimedia RestA

  "What is X" / "who is X" / "tell me about X" / "Wikipedia summary of X" / "biography of X" / "history of X" — fetches the Wikipedia article extract (title, description, thumbnail, lead-paragraph extract) for any topic, person, place, event, or concept. Use whenever an agent needs a quick encyclopedic reference. Defaults to en.wikipedia.org; pass project/lang for other Wikimedia projects or languages. Example: page_summary({ title: "Albert Einstein" }).

  ConnectorNo auth

• remediate_findingsA

  quantakrypto pqc-toolsA

  Produce a deterministic remediation REQUEST bundle (rubric + fix schema + per-finding metadata + fingerprints) for YOU (the host agent) to fix. This tool calls no model and needs no key. For each finding, propose the corrected FULL file content, then VERIFY with verify_fix and keep only fixes that clear the finding. Never touch files with secrets; never auto-merge. Pass 'findings' from scan_path --format json.

  ConnectorNo auth

• remediate_findingsA

  quantakrypto pqc-tools (hosted)A

  Produce a deterministic remediation REQUEST bundle (rubric + fix schema + per-finding metadata + fingerprints) for YOU (the host agent) to fix. This tool calls no model and needs no key. For each finding, propose the corrected FULL file content, then VERIFY with verify_fix and keep only fixes that clear the finding. Never touch files with secrets; never auto-merge. Pass 'findings' from scan_path --format json.

  ConnectorNo auth