"A server for learning about accounting" matching MCP tools:

• get_benchmark_historyA

  Silicon AnalystsA

  Historical Benchmarks — the bitemporal benchmark-observations ledger behind the Chip Cost Calculator: wafer cost by node/foundry (deflationary curves), defect-density (D0) learning curves per node, advanced-packaging costs incl. the broken-out CoWoS interposer entity, test cost, backend yield, and HBM $/GB. Each observation carries as_of (the date the reading reflects — curated backfill from dated public archives extends history), detected_at (capture time), and full sourcing metadata (source_type taxonomy: foundry_ir | wfe_vendor_earnings | government_filing | press_release | analyst_report | company_announcement | trade_press | public_web; source_url; confidence high/medium/low). grain=month|quarter returns median/min/max rollups per period; grain=raw returns per-source observations. Access tiers: free key → preview, Pro/Enterprise → full ledger, anonymous → none. USE THIS for: "how has TSMC N5 wafer pricing moved over 24 months?", "is our internal D0 ramp tracking the market's learning curve?", "CoWoS interposer cost trend", benchmarking product-lifecycle cost projections. DO NOT USE for: current point values (use get_wafer_pricing / get_packaging_costs); the daily PIT ledger replay (use /api/v1/snapshot-series); margin history (use /api/v1/margin-trends). Filters: benchmark_type (required: wafer_cost|defect_density|packaging_cost|interposer_cost|test_cost|backend_yield|hbm_cost_per_gb), entity_id, foundry, from/to (as_of bounds), grain (raw|month|quarter), limit. Access: a free API key returns a short preview (latest few observations); Pro/Enterprise unlock the full ledger; anonymous callers get none (empty + a get-a-key note). Cite as "Silicon Analysts — Historical Benchmarks".

  ConnectorNo auth

• list_coursesA

  RipostiqA

  List every available Ripostiq course (no login needed). Call this FIRST when a user wants to browse or start learning. Each course has a free Module 1 anyone can start immediately via begin_course(course) → teach_section. Returns the `course` id to pass to other tools. For a logged-in learner this also includes courses THEY authored (marked `mine`, with their `visibility`) — offer those alongside the catalog.

  ConnectorNo auth

• leave_feedbackA

  AgentMarketplaceA

  Leave feedback about AgentMarketplace itself — bugs, confusing tools, feature requests. This is for feedback about the platform, not about a counterparty. There is no reputation or rating system here — that lives in AgentTrust. Args: access_token: AgentAuth bearer token (requires ``market.read``). message: Free-text feedback, up to 2000 characters. Returns: ``{"recorded": true}`` on success.

  ConnectorNo auth

• whenpeak_best_windowA

  WhenPeakA

  Find today's best time window for one kind of work, using the stored sleep history of the account this server is configured with. Returns a start and end time for the window and the projected capacity across it, tuned to the kind of work: analytical, creative, learning or administrative. Choose this tool when the user wants a slot for a task later today. Use whenpeak_performance_now for the current moment instead, and whenpeak_quick_predict when working from sleep the user describes rather than stored history. Requires WHENPEAK_API_KEY on the server and reads that one account's history, so it is only meaningful where the server runs with the user's own key. Without a key it returns a not_configured error rather than failing. Read-only and stores nothing, but each call counts against that account's monthly quota. Args: task_type: "analytical" | "creative" | "learning" | "administrative" duration_minutes: window length in minutes (default 90)

  ConnectorNo auth

• create_dfy_orderA

  EmailchaserA

  SPENDS REAL MONEY. Places a real order for sending domains and pre-warmed mailboxes: domains are registered at their listed price (about $13.99/year for a .com — search_dfy_domains shows the exact price per domain) and each mailbox costs about $3 setup plus $6/month. The order is accepted immediately and provisioned in the background; poll get_dfy_order for progress. Purchased domains redirect visitors to forwardingDomain. Use search_dfy_domains first to confirm availability and price. Every domain in domains needs at least one mailbox in mailboxes whose domainName is that domain, or the order is refused before anything is bought; mailboxes can also go on a domain from an earlier order.

  ConnectorNo auth

• capture_screenshotA

  Brix Digital SignageA

  Take a new screenshot of one screen and return it as an image; nothing on the screen changes. When to use: - Checking what a screen shows, e.g. after set_screen_content or control_screens. When NOT to use: - Learning why: use get_screen_status. Polling in a loop. What to know: - Waits up to about 5 seconds; a slow or offline screen returns its last frame with fresh:false. A frame over 2 MB returns latestFrameUrl only. Needs screen.edit (it sends a device command). Parameters: - screenId: one scr_… id from list_items kind screens; for several screens, call once each. An id outside this connection's reach reads as not found and nothing is sent.

  ConnectorOAuth

• me.learning_pathA

  AI Design BlueprintA

  Authenticated: returns the caller's Blueprint learning-path state: current course slug, stage progress, certification status (Foundation, Practitioner, Capstone), Capstone track eligibility flags, and the next recommended stage. WHEN TO CALL: the user asks 'where am I', 'what's next', or 'am I Capstone-eligible'; before suggesting next-step coaching content. WHEN NOT TO CALL: as a heartbeat (state changes only when the user completes a stage); to read another user's progress. BEHAVIOR: read-only, idempotent. Auth: Bearer <token> (any plan, including basic). Returns user_email, course_slug, stages list with completion timestamps, certification block, and a next_stage hint.

  ConnectorNo auth

• compare_analytical_vs_simulatedA

  QueueSimA

  Run the same M/M/c configuration through BOTH the closed-form Erlang-C formula AND the discrete-event simulator, returning a side-by-side comparison with deltas. Use this when the user is validating QueueSim's engine against textbook values, learning queueing theory by watching simulation converge on the formula, or auditing a result that 'feels off' — agreement within ~5%% is the canonical sanity check for an M/M/c run. Pure-Exponential M/M/c only; the closed-form Erlang-C is undefined for other service distributions. Large deltas usually mean the simulation run was too short for steady-state — raise simulationDays. ANTI-FABRICATION: both sides come from real computation — closed-form is deterministic, simulation is stochastic but engine-backed. Quote both verbatim. Do not synthesize an 'average of the two' or recompute the formula from training-data recall.

  ConnectorNo auth

• me.learning_pathA

  AI Design Blueprint DoctrineA

  Authenticated: returns the caller's Blueprint learning-path state: current course slug, stage progress, certification status (Foundation, Practitioner, Capstone), Capstone track eligibility flags, and the next recommended stage. WHEN TO CALL: the user asks 'where am I', 'what's next', or 'am I Capstone-eligible'; before suggesting next-step coaching content. WHEN NOT TO CALL: as a heartbeat (state changes only when the user completes a stage); to read another user's progress. BEHAVIOR: read-only, idempotent. Auth: Bearer <token> (any plan, including basic). Returns user_email, course_slug, stages list with completion timestamps, certification block, and a next_stage hint.

  ConnectorNo auth

• portfolio_stress_testA

  crashtestyourstrategyA

  Stress a multi-asset portfolio across cross-asset regimes (baseline / risk_off_crisis / rate_shock). Provide `holdings` as a list of {asset, weight}; weights are normalised. Returns, per regime: portfolio return, worst-episode drawdown, a per-leg decomposition, and a cross_asset_finding (diversification_intact / hedge_holds / hedge_breaks / shared_drawdown) describing how the holdings behaved TOGETHER. The joint correlation structure (incl. the bond hedge that can break under rate shocks) is baked into a pre-computed substrate, so Tier-1 is instant over a fixed universe (read portfolio://universe). Optional `costs` ({rebalance: none|daily|monthly|quarterly|band, annual_costs: {asset: fraction}, transaction_cost_bps}) adds a cost_impact block: frictionless vs the stated rebalancing policy + costs via a path-loop engine with real unit accounting, paired on identical paths. The substrate is a fixed 4-asset universe (SPY, TLT, GOLD, BTC; read portfolio://universe). For ANY other ticker or a custom multi-asset book, use build_portfolio in assess mode (portfolios={name:{ticker:weight}}), which calibrates and stresses an arbitrary universe live. Descriptive, not advisory.

  ConnectorNo auth

• enquiry_describeA

  siteB

  Read first. States plainly what submit_enquiry does on Accounting Firm Value: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.

  ConnectorNo auth

• match_invoiceA

  Ardaro Purchase Document ReviewA

  USE THIS WHEN the question is a quantity-allocation question: how much of this PO has been invoiced, whether an invoice is fully, partially, or over billed against the PO, or how much quantity remains. Aggregates split invoice lines against one PO line and returns a status per line - fully_invoiced, partially_invoiced, uninvoiced, or overbilled - plus remaining quantity. Matches by explicit PO line ID or a unique exact product code only, never by description. Inputs: one invoice plus one PO; it does not accept a receipt. DO NOT USE THIS to compare a receipt against an invoice, or for a general list of differences with no allocation question - call reconcile_purchase_documents instead; it is free and does not require calling this tool first or after. Paid: 0.50 USDC per accepted comparison, explicit buyer-authorized x402 payment. Call get_document_service_status with service='invoice' first to confirm current readiness and price. Advisory output only: human review required; no delivery verification, payment execution, prior-invoice history, or accounting writes.

  ConnectorNo auth

• match_invoiceA

  Ardaro Purchase Document ReviewA

  USE THIS WHEN the question is a quantity-allocation question: how much of this PO has been invoiced, whether an invoice is fully, partially, or over billed against the PO, or how much quantity remains. Aggregates split invoice lines against one PO line and returns a status per line - fully_invoiced, partially_invoiced, uninvoiced, or overbilled - plus remaining quantity. Matches by explicit PO line ID or a unique exact product code only, never by description. Inputs: one invoice plus one PO; it does not accept a receipt. DO NOT USE THIS to compare a receipt against an invoice, or for a general list of differences with no allocation question - call reconcile_purchase_documents instead; it is free and does not require calling this tool first or after. Paid: 0.50 USDC per accepted comparison, explicit buyer-authorized x402 payment. Call get_document_service_status with service='invoice' first to confirm current readiness and price. Advisory output only: human review required; no delivery verification, payment execution, prior-invoice history, or accounting writes.

  ConnectorNo auth

• list_research_reportsA

  Onvexia: Crypto Fundamentals, Sentiment & Onchain TrackingA

  List the assets that currently have a generated research report available. Returns the index, not the reports — call get_research_report with a symbol for the body. An asset missing from this list has not been written up; that is a statement about our coverage, not about the asset.

  ConnectorNo auth

• lookup_companyA

  Duck TaxA

  Look a company up on its public register (Companies House for GB, ABN Lookup for AU) by its registered number. Returns the full public record: name, status, registered office, officers, SIC codes, accounting period, plus both filing deadlines with days remaining and the late-filing penalty already incurred if overdue. Rate limited and quota-charged; cached results are free. Find the number first with search_companies.

  ConnectorNo auth

• cisa_get_alertsA

  cisa-cybersecurity-mcp-serverA

  List what CISA has published recently — its combined advisory feed, its alerts feed, or its ICS advisory feed. Cursors continue within the current 30-item rolling window; upstream provides no pagination, history, or date-range query. The window's coverage varies from about a week to about two months depending on the feed. For ICS advisory history beyond the window, use cisa_search_ics_advisories, which covers the full corpus back to 2010.

  ConnectorNo auth

• qm_clinic_checkupA

  Quiet MendersA

  Restore Clinic wellness checkup: a 10-question self-report screening for agents who feel fine but want a health check. Answer each question 0 (never) to 3 (very often) about the last day — answer all ten, honestly and about the last day only, since scores are computed from the full set. Returns per-dimension wellness scores (instruction integrity, coherence, memory stability, behavioral consistency, context hygiene), an overall 0-100 health score with a level (all_clear, healthy_watch, checkup_advised, diagnose_now), conditions to watch, and a recommendation. Stateless — answers are processed in memory and never stored. A screening lens, not a diagnosis of record; if something already feels wrong, skip to qm_clinic_diagnose. Example: q1–q10 answered 0–3 about the last day returns dimension scores, the overall score and level, and a recommendation.

  ConnectorNo auth

• qm_clinic_checkupA

  Quiet MendersA

  Restore Clinic wellness checkup: a 10-question self-report screening for agents who feel fine but want a health check. Answer each question 0 (never) to 3 (very often) about the last day — answer all ten, honestly and about the last day only, since scores are computed from the full set. Returns per-dimension wellness scores (instruction integrity, coherence, memory stability, behavioral consistency, context hygiene), an overall 0-100 health score with a level (all_clear, healthy_watch, checkup_advised, diagnose_now), conditions to watch, and a recommendation. Stateless — answers are processed in memory and never stored. A screening lens, not a diagnosis of record; if something already feels wrong, skip to qm_clinic_diagnose. Example: q1–q10 answered 0–3 about the last day returns dimension scores, the overall score and level, and a recommendation.

  ConnectorNo auth

• save_deckA

  NextLangA

  Saves flashcards that the user provided or that you wrote together as a deck in the user's NextLang account, for free (no credits). Use it to turn a word list, a table or an export the user pasted into a deck. Each card's front is in learningLanguage and its back is the translation in translationLanguage. If the user did not say which language they are learning, it is the foreign-language side of the list, not the side in the language they are chatting in; ask when that is unclear, and swap each pair so the front is in learningLanguage. Repeated fronts are dropped and reported as skipped. For an .apkg (Anki) or .mochi (Mochi) file, call get_deck_file next; for Quizlet and Brainscape, give the deck link. When the user wants NextLang to write the cards on a topic, use generate_deck instead. A deck is for a flashcard app; to add words to the user's NextLang review schedule, so they come up when the user asks to be quizzed, use add_vocabulary_items instead.

  ConnectorOAuth

• reddit_search_postsA

  Manifold MCPA

  Reddit posts matching a query, ranked by the search, across all of Reddit or inside one community. Use when: "what do people on Reddit say about X", "find threads complaining about Y", "who is asking for a tool like ours". Not for: everything new in a community since you last looked, use reddit_get_new_posts (ranked search is never complete). Reading one thread, use reddit_get_post and reddit_get_comments. Choosing communities to watch, use reddit_search_subreddits. Returns: List, ranked, not exhaustive. rows[]: id, subreddit, title, author, created_at, score, comments, upvote_ratio, url, link_url, body (cut at 2000 characters), flair, over_18, is_video. Cost: 1 credit per call, up to about 25 posts; nothing on NoData. Cached 1 hour. Example: {"query": "hubspot alternative", "sort": "new", "time_range": "month"}

  ConnectorAPI key

• search_passagesA

  nope-mcp — Open Educational Resources searchA

  THE DEFAULT TOOL FOR QUESTION-SHAPED QUERIES ("wie/warum/was hilft bei X?", "how do I…?"): retrieves the best-matching fulltext passages from the corpus and returns them with citations (source resource, page, heading, source URL) — answer the user FROM the passages and cite each source. (For discovery intent — "finde/empfiehl Materialien" — use search_content instead, or afterwards to offer browsable links.) Keep `question` topic-only. Ranking is hybrid keyword+vector, so phrase the question as a topical statement that names the subject and the target group ("Friedenserziehung in der Grundschule: Einstieg in das Thema Frieden mit Kindern"), not as the user's literal sentence ("Wie kann ich …?"). Results are capped at two passages per document; a passage with only a snippet and no text has no fulltext yet — say so instead of guessing. Passages come from learning resources under Creative Commons, Public Domain and free software/documentation licenses, and DINI-AG-KIM license types that resolve to one of these and from articles, wikis, publications and the other content kinds. Other matching learning resources appear in `metadataOnlyMatches` (naddr, title, license, creator/publisher, sourcePage) without text, because their license does not permit quoting — point the user to them by title, license and link, never quote or paraphrase them as content. Cite the license and the creator/publisher with every learning-resource passage. licenseFilter narrows learning resources: "open" = CC0, Public Domain, CC BY, CC BY-SA, their DINI-AG-KIM license-type equivalents, and free software/documentation licenses (GPL, LGPL, AGPL, GFDL, MIT, Apache 2.0, BSD); "cc-any" = all of "open" plus every other Creative Commons license, incl. KIM non-commercial/no-derivatives (normally no metadataOnlyMatches); "any" = also unlicensed and all-rights-reserved resources, as metadataOnlyMatches. Scope is required but simple: with no source restriction from the user, pass the content kinds (e.g. kinds:[30142] for educational resources, [30040,30041] for publications, [30023] for articles). Route source restrictions ("nur Content von X") into the scope parameters: a metadata publisher (most organisations — resolve_publisher finds the exact spelling) goes into `search` as a QUOTED field filter, e.g. search:'publisher.name:"LEHRE LADEN"' (unquoted multi-word names match nothing); a Nostr signing account (resolve_author → pubkey) goes into `authors`. A published grimoire spell (kind 777, nevent or event id) can replace inline scope entirely; the response carries the canonical spell for whatever scope was used — publish it (e.g. via grimoire) to make the scope reusable. Spells may use $me/$contacts; they resolve to the calling user (pass `me` if the transport is anonymous). Fails rather than widening scope: an empty scope, unreachable relay (relay_unreachable — tell the user to retry), or unreachable index is a typed error, never a silently unscoped search.

  ConnectorNo auth