"SearXNG - Open Source Metasearch Engine" matching MCP tools:

• create_order

  Custom Blinds Shop

  Legacy auth-required tool — prefer the open UCP flow (create_cart → create_checkout → complete_checkout) which needs no credentials. Use create_order only if you hold a Bearer token and want a single-call path to a payment link. All item prices are re-verified server-side against the live pricing engine — agent-supplied prices are ignored. Returns a Yoco or Ozow payment_url.

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• kirk_list_models

  Kirk — Unsupervised Structural Change Detection

  Enumerate the model_ids the sealed engine exposes, with the engine sha stamped in-response. Purpose: Discover the model catalog and record the sealed engine sha alongside your inference results. Use when: You are wiring a client for the first time and need model_id values for kirk_score_book / kirk_score_book_batch calls, or you want a machine-readable catalog with attestation. Do not use when: You need per-model hyperparameter detail — those are intentionally not exposed on the customer surface. Capability class(es): C5 (engine sha attested on every response). Path fit: Validation via MCP (this tool). Production integrations run in-process under sealed-engine attestation — same binary sha as this endpoint. Contact Kavara for deployment options. Cost: 0 IU. Free tool.

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• web_search_multilang

  gapup-mcp

  Multi-language, multi-source web search that goes beyond Anglo-centric results. Supports 15 languages (fr/de/es/it/pt/nl/ja/zh/ko/ar/ru/sv/pl/tr/en) with automatic detection. Aggregates results from Mojeek (independent search engine, multilang) and Wikipedia (native multilang API), with DDG and HN as English-language complements. Returns deduplicated results ranked by cross-engine consensus. Use when you need non-English search results, when DDG fails, or for geographically-biased queries. Phase 2 #7 of the geo/lang expansion plan. Note: Brave/Bing/Searx are blocked from DO IPs — configure AICI_RESEARCH_PROXY_URL for residential proxy.

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• engine_info

  Backtest360

  Engine version, API contract number, and health. Free (not quota-counted). Call once at the start of a session to confirm the engine is reachable and which contract it serves.

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• list_compiled_corridors

  lr-labs

  List which treaty pairs, PE families, and compiled-rule counts the LR Labs engine covers, plus the structured-fact schema. Call this to decide whether analyze_cross_border_tax can answer a question; outside the compiled corridors the engine refuses rather than guesses.

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• kirk_verify_engine

  Kirk — Unsupervised Structural Change Detection

  Verify sealed engine identity — returns the sha256 of the running scoring binary. Also serves as a liveness probe against the sealed backend. Purpose: Attest which Kirk build is currently serving scoring calls. Response carries the sealed engine sha (kirk_version) that will stamp any subsequent kirk_score_* result. Secondary role: a cheap liveness probe for callers wiring up MCP for the first time. Use when: You want to record engine sha in your own provenance log before capturing scoring output, or you want a cheap liveness check ahead of a larger validation batch. Do not use when: You want a scoring result — this returns identity/liveness only, no entropies. Capability class(es): C5 (cryptographic attestation of engine identity). Path fit: Validation via MCP (this tool). Production integrations run in-process under sealed-engine attestation — same binary sha as this endpoint. Contact Kavara for deployment options. Cost: 0 IU. Free tool. For agent-driven callers, the _cost envelope still reports iu_this_call=0 and the running session totals. Returns: Dict with `status`, `engine`, `env`, and `kirk_version` (the sealed .so sha). A non-2xx response raises; caller sees a clean MCP tool error.

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• explain_greenfield

  SCModeling

  Reference text on greenfield analysis — clean-slate facility-location math. Covers the weighted center-of-gravity (Weber) formulation, Weiszfeld's iterative algorithm, Lloyd's-style alternating location-allocation for N facilities, service constraints (% demand vs % customers within a distance band), and the inverse problem of solving for minimum N. Also covers when to use greenfield vs facility selection (the open/close MIP). Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does greenfield analysis work' or 'where would I put my DCs' question. ChiAha's GreenfieldAnalysis engine powers the US Greenfield Design demo on the sandbox.

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• list_vision_reports

  switch

  List your Video Analysis history, newest first: report_id, date, status, source kind, duration, engine, tokens charged, and each report's headline. Use it to find a past analysis, then pass its report_id to get_vision_report (full report) or video_to_prompt (just the recreation prompt).

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• create_order

  Custom Blinds Shop

  Legacy auth-required tool — prefer the open UCP flow (create_cart → create_checkout → complete_checkout) which needs no credentials. Use create_order only if you hold a Bearer token and want a single-call path to a payment link. All item prices are re-verified server-side against the live pricing engine — agent-supplied prices are ignored. Returns a Yoco or Ozow payment_url.

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• get_engine_schema

  ReefAPI

  COMPACT overview of ONE engine: every action with its description, required params and what it returns — but NOT the full param detail (kept lean so a 90-action engine stays token-cheap). Call this after search_engines to pick the right ACTION, then get_action_schema(engine, action) for that action's full params before call_engine.

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• get_catalog

  ReefAPI

  The FULL ReefAPI catalog — EVERY engine with its one-line title, grouped by category. This is the whole menu (≈ a few thousand tokens); SCAN IT AND PICK THE BEST ENGINE YOURSELF. You are an LLM, so you match the user's intent semantically — across ANY language, typo, or phrasing — far better than a keyword search can. Use this whenever search_engines didn't surface the right engine (or to be sure you didn't miss a better one). After you pick: get_engine_schema(engine) -> get_action_schema -> call_engine.

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• search_jobs

  jobstack-mcp

  Search job postings across every configured source and merge the results into one flat Job shape. Fans out in parallel to USAJOBS, Adzuna, Jooble, The Muse, Reed, and the ats engine (Greenhouse/Lever/Ashby/Workable/SmartRecruiters), then merges + sorts by postedDate (newest first) and paginates the combined set. Each Job has id, source, title, company, location, remote, url, description, postedDate, salaryMin, salaryMax, salaryCurrency, department, and employmentType. The response envelope carries meta, the echoed query, sources_requested, an optional sources_errored map, total, count, limit, offset, and results. Use sources= to restrict to specific engines.

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• get_job

  jobstack-mcp

  Fetch one job posting by its source engine and native id, returned as { meta, job } with the same flat Job shape search_jobs yields. The id is the native upstream id as returned by that source in search results (NOT prefixed with the source name). Exception: for source="ats" the id is a composite "board:company:nativeId" string (e.g. "greenhouse:airbnb:7995153") so the lookup can round-trip to the right ATS board. Not every source supports single-job lookup — a search-only source returns a not_supported / not_found error.

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• get_walk_forward_evidence

  Hesper Atlas Evidence

  Use when a user asks for stricter time-ordered evidence, weak years, benchmark underperformance, or a check against look-ahead. Returns the committed cache-frozen annual walk-forward artifact. Each year's candidate is selected using only earlier observations and then traded for the next calendar year with next-open execution and costs. Returns the content-derived evidence id, input hash manifest, aggregate results, and paged per-symbol/year rows. Weak periods and underperformance versus buy-and-hold are retained. Set artifact to 'pooled_selection' for the class-pooled selection audit (per-name and pooled rule selection both converge to the untuned class engine) or 'model_portfolio' for the monthly walk-forward of the shipped model-portfolio construction (12-1 momentum top 10/20 among engine-long quality stocks, every risk profile, benchmarks, monthly picks, broad-universe check). Historical validation, not live performance or advice.

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• get_opt_result

  SCModeling

  Get the precomputed result for one scenario of an optimization demo. Returns the verbatim engine output JSON (AMOS for tariff/coffee, SSO output for sso-basic) including the optimal sourcing/production/transport decisions, costs, and any open/close facility variables. ANTI-FABRICATION: every numeric result is verbatim from the optimization engine that ran offline — quote them in your reply, do not round or recompute. Call describe_opt_demo first to learn valid scenario_key formats for each demo.

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• web_search_multilang

  mcp-knowledge

  Multi-language, multi-source web search that goes beyond Anglo-centric results. Supports 15 languages (fr/de/es/it/pt/nl/ja/zh/ko/ar/ru/sv/pl/tr/en) with automatic detection. Aggregates results from Mojeek (independent search engine, multilang) and Wikipedia (native multilang API), with DDG and HN as English-language complements. Returns deduplicated results ranked by cross-engine consensus. Use when you need non-English search results, when DDG fails, or for geographically-biased queries. Phase 2 #7 of the geo/lang expansion plan. Note: Brave/Bing/Searx are blocked from DO IPs — configure AICI_RESEARCH_PROXY_URL for residential proxy.

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• report_data_issue

  Autario Data Analytics Platform

  Report a data-quality problem you found in a dataset or chart, so the engine can fix it. Use this during a QA pass when you spot: a dataset that looks truncated / only partially ingested (far fewer rows than the source should have), a unit that contradicts the value range (unit "%" but values in the thousands), nonsensical or wrong column/series labels, an all-identical (zero-variance) column, a published chart that is misleading or plots the wrong series, or data that looks stale. ALWAYS attach the concrete numbers you observed in `evidence` (e.g. the row count you saw vs. what you expected, the unit, a few sample values) | findings without evidence are not actionable. The engine routes safe types (partial_ingest_suspected, stale, broken_time_col) to an automatic re-ingest on the next refresh; everything else goes to a human review queue. Reporting the same open issue twice is a harmless no-op (deduped). Requires authentication.

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• pm_data_events

  CoinRithm Agent Trading

  Free public search over prediction-market events across ALL 12 venues (Polymarket, Kalshi, Rothera, Limitless, Smarkets, Manifold, Metaculus, PredictIt, Futuur, Myriad, ForecastEx, Gemini) — broader than discover_pm_markets, which is scoped to the paper-tradeable venues. Returns titles, probabilities, volume/liquidity, status, and source per event, plus the five highest-probability outcomes and the full outcome count. Use pm_data_event for all outcomes and full evidence. Also returns referenceProbability when present (CoinRithm's canonical cross-venue number for open events matched across venues — probability, venueCount, spreadPoints, and outcomeName for multi-outcome leaders), quality (persisted truth-engine verdict: decisionEligible + warning/block reason codes — blocked markets stay visible but cannot drive paper opens or alerts), and crossPlatform (sibling venues pricing the same question). Research/data only: to trade, use discover_pm_markets + pm_quote instead. No API key required.

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• get_decision_ledger

  freedom-mcp

  THE tool for what the Freedom Engine has DECIDED for this company — the audit feed of every autonomous decision: what it auto-ran, what it teed up for your approval, and what it refused (e.g. faith/values content), each with the reason, the profit at play, the founder-attention cost, and how fresh the inputs were. Use for "what did the engine do today", "what did it auto-run", "why did it hold that Playbook", "show me the decision ledger / Engine". This is the only tool with the engine's decision history — get_command_center_items shows open cards to act on, not the decision audit trail.

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• get_topic_context

  Pet Data Station

  Fetch one topic's RAG context (~200-500 tokens): source-verified claims (verbatim for Open-Access / public-domain sources, paraphrased derived summaries for copyrighted veterinary references) plus structured source citations (authority/title/url) and a `trust` block (raw trust axes + computed display_grade for this topic). Discover topic_ids with search_pet_topics first.

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