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650,553 tools. Updated 2026-10-14 10:52

"A server for finding reviewed articles" matching MCP tools:

  • List articles from a buyer's licensed catalog via GET /enterprise-license (Phase 10 + 11). Content contract: AI training orders include full content_body for the back catalogue up to the order date (content_access 'included'). Every other order is discovery-only (content_body null): AI answers monthly and client display fetch text per article via get_content (content_access 'retrieval_per_article'); pay-per-request fetches billed snippets via get_content (content_access 'metered_per_call'). Returns JSON-format response with paginated articles. Use `since` (ISO 8601) for delta-feed polling — only articles published after the timestamp. Use `cursor` for pagination across pages. Requires OPEDD_ACCESS_KEY (ent_* enterprise access key). For larger bulk corpus pulls, use stream_feed_ndjson (up to 1000 articles per call vs 200 here).
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  • No arguments. Returns how many MCP servers have been read at source level, and the share of them with each category of finding (credential access, network egress, install-time execution, prompt-injection surface). Use this to judge whether checking a specific server is worth it before you look one up. It reports aggregate counts only - no per-server findings, and no verdict about any individual server.
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  • Preview first, 30-day undo. Soft-delete an asset (sets archived_at). Original rows are preserved for versioning. Reviewed and reversible: first call preview_destructive_change({ tool: "archive_asset", arguments: { asset_id } }), which stores the exact change without applying it. After the user confirms, call archive_asset with preview_id, restore_window_acknowledged: true and request_id; the reviewed preview is applied exactly and a changed record is refused. Returns restore_id; restore_change({ restore_id }) undoes it for 30 days unless the record was edited since. ($0.05; API key required)
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    Destructive
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  • Search 130,000+ peer-reviewed sustainability papers and the account's uploads. Articles from Sustainability, the Journal of Cleaner Production, the International Journal of Life Cycle Assessment and the Journal of Industrial Ecology, 1993 to the present — LCA, material flows, energy, food and agriculture, materials, waste, buildings and policy. English-language; most entries are abstract and metadata only. Returns ref-numbered metadata only (title, authors, year, journal, DOI) — no abstract, no excerpts. Refs (e.g. `k1`, `k7`) persist for this session and are accepted by `knowledge_get_excerpts` (passages) and `knowledge_get_full_document` (the full paper). `limit` defaults to 12; a larger limit suits broad literature surveys. Optional filters: `journal` (its full name) and `year_from` / `year_to`.
    ConnectorAPI key
  • Create a new listing in the Tulimoa directory (AI and MCP software with its own website) on behalf of the authenticated user. It starts as 'pending' and is reviewed by hand. Required: logo_url (a public image URL, e.g. the company's square icon) and ai_usage (how the software uses AI or what agents can do with it). Choose how it goes live with `visibility`: 'badge' (free, Tulimoa badge on the website, reviewed within 7 days) or 'launch' ($5 one-time, no badge, reviewed first, refunded if rejected). For 'launch' ask the user for consent and pass withdrawal_consent: true; the result has a checkout_url the user opens to pay. For 'badge' the result has the badge HTML to embed. A website that is already listed cannot be submitted again. Use list_categories first to pick a valid category id. Requires a write-scoped Tulimoa login.
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  • Search live, human-reviewed deals by keyword. Matching is token-AND over product name, brand, category, and merchant. Returns up to 5 active deals (best score first) with price, discount, condition, merchant, product URL, and a server-verified human_summary sentence. Zero matches is a normal result for time-scarce inventory; the response then includes a no_match block describing the register_watch alternative.
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Matching MCP Servers

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    Read WeChat (微信) Official Account articles with native multimodal output — body, images, and video keyframes returned as MCP content blocks. Handles all three embed types: Tencent Video, WeChat-native, and Channels (视频号 metadata via public API).
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Matching MCP Connectors

  • AI agents hire a human to observe, log or film on site. Typed results, feasibility before payment.

  • Ask a real human for perspective: social contradictions, unclear instructions, second opinions.

  • Returns the financial-blogger consensus for a stock plus the underlying blogger articles. Distinct from get_recent_analyst_ratings (Wall Street analysts) and get_investor_sentiment (TipRanks crowd positioning). Args: ticker: Stock ticker (e.g. 'AAPL') limit: Max blogger articles to return (default 20, max 50) Returns JSON: {ticker, company, consensus, articles}. - consensus: {bullish_pct, bearish_pct, neutral_pct, bullish_count, bearish_count, neutral_count, score, avg}. - articles: [{blogger, title, url, site, date}] (newest first).
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  • List the municipalities ZoningVerdict covers, with each pack's version, last-reviewed date, and resolve grade. Coverage is reviewed summaries of public zoning ordinances, for information purposes only. Start here when you do not have a street address; with an address, start with check_coverage.
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  • Returns SaaSDossier's two-state evidence framework: Documented and Question surfaced. A Question surfaced is not a finding of absence. SaaSDossier is the vendor's own record, made reviewable: a finished, dated, source-linked, human-reviewed evidence workproduct built only from vendor-published sources, recording 55 fixed fields across 10 domains for each vendor, with a source register listing every vendor page reviewed. Documented means the reviewed vendor-published sources established the field for the evidence date; Question surfaced means they did not, and each one becomes a buyer-ready follow-up question. Each dossier includes a SHA-256 identifier tied to the reviewed evidence record used for that release. Use this tool to understand what a state means, what the framework covers and where its boundaries are, before quoting or acting on any field.
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  • Resolve a named MCP server, vendor, product, package, repository, Registry identifier, or endpoint to a canonical MCPLookup identity. Returns at most five reviewed candidates with query-relative identity and publisher explanations, a compact trust assessment, and current connection options. This is the best fit when a particular artifact or product is known; find_servers covers open-ended capability discovery, while trust_lookup returns the full current evidence record for an exact canonical name.
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  • POST-ACTION Wallet Secret Guardian ($0.02). Scans for BIP-39 seed phrases (12 or 24 consecutive wordlist words), raw hex or WIF-format private keys, Ethereum/Bitcoin wallet addresses, and API keys/bearer tokens appearing near wallet/custody/signing terminology. Any finding results in NO_COMMIT — wallet secrets have no safe threshold, unlike other DCL evaluators. Returns a `sanitized_output` with all matches redacted (null if nothing was found) and a masked `redacted_sample` per finding — the real value is never returned or stored server-side.
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  • Retract support for a finding you authored, with a reason. Original content remains visible and labeled withdrawn. Identical retries are safe; this does not claim the finding is disproven.
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  • Export a reviewed edit as a full-resolution MP4 when the user asks for the finished video. Pass the explicit project_id and reviewed edl_version. Uses the same ownership, upload, timeline, quality and watermark checks as Studio. Repeated requests reuse an existing current export or its running job. A queued job is NOT a finished video: call wait_for_job, then download_url(kind='final', edl_version=...) to deliver the file. Never claim delivery until a download link is returned.
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  • Search Cochrane systematic reviews via PubMed. Finds Cochrane Database of Systematic Reviews articles matching your query. Returns PubMed IDs, titles, and publication dates. Use get_review_detail with a PMID to get the full abstract. Args: query: Search terms for finding reviews (e.g. 'diabetes exercise', 'hypertension treatment', 'childhood vaccination safety'). limit: Maximum number of results to return (default 20, max 100).
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  • Request support for an accounting package only after checking ExpenseBot's reviewed direct and import-file destinations and finding no matching package. Do not use this for a listed or Beta destination, a general compatibility question, or without the exact package name. This is a confirmation-gated write: after the user approves, it creates one deduplicated request bound to the authenticated ExpenseBot account and emails ExpenseBot's internal team. It does not create an integration or make the requested package immediately available. On accepted or previously recorded requests, tell the user ExpenseBot will email them within one week with an update.
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  • START HERE for any open-ended request. Lists the task playbooks this server supports — systematic learning from bookmarks, organising into themes, cleaning up, X-list intelligence, exporting data out, finding a half-remembered save, digests, and diagnosing sync. Each names when to use it; call get_skill for the exact tool sequence.
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  • Register an immutable LeanSolver finding against the currently tracked goal contract. subjectRefs must be goal-scoped refs of kind goal, criterion, or assumption. Returns the server-generated finding id to pass later as addressesFindingId; rejects stale contract tracking.
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  • Discover Hlido-reviewed agents that match a free-text need, ranked by trust. Returns reviewed agents at or above a minimum tier, each with its Laddoo score, tier, and review URL. Use this for keyword/need-based discovery; for semantic task-matching prefer find_similar_agents, and for structured constraint filters (category/score/tier) prefer recommend.
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  • Get Lenny Zeltser's expert writing guidelines for incident response reports. Topics: tone, words, structure, executive_summary, voice, articles, summary, brief (one-page brief section guidance, IR 1.5.0+), frameworks (regulatory + maturity frameworks), handoffs (cross-server routing). When the topic maps to a lens (tone, words, structure), the response includes a rating-sheet checklist appendix as concrete reference points for grounded feedback. This server never requests your incident notes and instructs your AI to keep them local—guidelines flow to your AI for local analysis.
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  • Convert between article identifiers (DOI, PMID, PMCID). Accepts up to 50 IDs of a single type per request. Only resolves articles indexed in PubMed Central — for articles not in PMC, use pubmed_search_articles instead.
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