"Improving the Intelligence of Large Language Models" matching MCP tools:

• searchA

  GUTHMANN® Berlin Real EstateA

  Semantic search over guthmann.estate — market insights, reports, neighborhood portraits, listing exposés, project pages and the company's own pages. Hybrid retrieval (vector + keyword, no reranking); one result per page with title, description, image, best-matching snippet and score. Use it for questions that need prose (analysis, context, advice); use the data tools for exact numbers and `listings` for what is currently for sale — the search index follows the website with up to six hours of delay. Parameters: - q: natural-language query, in the language of the pages you want (min 2 characters) - locale: "de" | "en" — language of the indexed pages (default: en) - section: comma-separated filter — "listings" (exposés), "projects" (new-build projects), "market-intelligence" (insights, reports, portraits), "pages" (company, services, guides); omit for all - limit: 1-20 pages (default: 10) Key response fields: - url, title, description, image, section, language - snippet (best-matching text passage), score (0-1)

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• exponent_calcA

  calc.engineerA

  Compute the result of raising a base to an exponent (base^exponent). Handles positive and negative exponents, fractional exponents, and zero. Returns the numeric result and a scientific notation string for very large or very small results. Useful for compound interest calculations, exponential growth/decay models, physics power laws, and combinatorics. The inverse of log_calc; chain with scientific_notation for formatted display of extreme values.

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• track_whalesA

  Agent Einstein — Crypto & Market IntelligenceA

  Live intelligence on large capital: on-chain whale transfers and accumulation, Hyperliquid perp whale positioning, or the profitable smart-money cohort. [Paid: $0.45–$0.50 per call from your Einstein credit balance. Free alternatives exist for several of these — see list_einstein_capabilities.]

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• gdelt_get_coverage_breakdownA

  gdelt-mcp-serverA

  Break down news coverage volume over time by source language or source country, returning a multi-series time series (one series per language or country). Shows which countries or languages drove early vs. late coverage — useful for tracing how a story propagated geographically or across language communities. Returns up to 10 series by total volume and aggregates the rest into an "Other" bucket, naming every series it folded in there under otherSeriesLabels — pass any of those labels back as the series input to get that series complete, ranked or not. Values are normalized: each point is the topic's share of media output, not an absolute article count. Small media markets with concentrated coverage therefore rank above large markets with diverse output — a high value means the topic dominated that source's coverage, not that it published the most articles. Use breakdownBy "country" with the signal-detection chain to map geographic attention, or "language" to detect non-English media surges.

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• get_translationA

  globalize.nowA

  Poll a translation job started by translate_files and, once it is "completed", pull back the translated files. While the job is still running, returns its status and progress with no file content — call again until status is "completed". A "completed" response carries each translated file (one per namespace × target language) plus a manifest; a "failed" response carries the failure reason. Optionally filter by target language to bound the payload of a large job.

  ConnectorOAuth

• list_modelsA

  Entity EnricherA

  List available model keys, nominal capabilities, languages, strategies, auto-selected defaults and organization profile_limits. Use when choosing explicit models or checking plan limits; ordinary calls may omit models or use auto without fetching this large catalogue. Auto also accounts for attachment capabilities. is_available means a usable provider key exists, not that provider quota or every combination of tools and media will work. Missing capability flags mean unsupported on this discovery surface. default_models_web_search is a search-only preview, not attachment-specific. No LLM call. Model selection and costs: enricher://docs/enrichment-and-fusion.

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• get_region_signalA

  Horizon AI IntelligenceA

  The current AI signal for a region (china, korea, japan, or eu) — recent, relevance-scored items on that region's models, labs, and analysis, ranked by momentum. Includes local-language press translated into English. The canonical regional tool; get_china_signal is a preset of this with region "china". Returns titles, sources, and links.

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• get_ml_trendsA

  SnowSure — Snow & SkiA

  Fetch SnowSure-unique ML/AI trend datasets from the public REST API. Use for powder-day leaders, bluebird-day leaders, bluebird predictions, improving/stable/declining score pulse, per-model accuracy weights, daily SnowSure score component history, ML extended outlook (days 8–14), global forecast trust, and powder/bluebird event logs. Start with dataset=catalog. Its leaderboards read CURRENT-season counters and are global — they take no season and no country/state filter. For a past season, or for any ranking scoped to a state, province, country or region ("most snow days in Maine last season", "rank BC resorts by season snowfall"), use get_season_leaderboard instead. Prefer get_insights for narrative intelligence cards; use this for raw rankings and time series.

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• list_makes_modelsA

  mcpA

  List the exact canonical car makes (brands) TransparentCars can search and price — or, given a make, that brand's models — using the exact strings the other tools expect. Call this FIRST (or whenever unsure of spelling) and pass the returned values verbatim into search_inventory / check_fair_price. No make = the list of brands; with a make = that brand's models.

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• list_makes_modelsA

  mcpA

  List the exact canonical car makes (brands) TransparentCars can search and price — or, given a make, that brand's models — using the exact strings the other tools expect. Call this FIRST (or whenever unsure of spelling) and pass the returned values verbatim into search_inventory / check_fair_price. No make = the list of brands; with a make = that brand's models.

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• audit_website_previewA

  site-auditA

  FREE PREVIEW (1 audit per day per caller IP) of Santos Website Intelligence. Runs a fast Quick Intelligence Audit of one public page: fetch timing, page weight, SEO, basic HTML accessibility, security headers, Website Intelligence dimensions, pass/fail checks, and remediation guidance. It audits one page only—no crawling, JavaScript rendering, Core Web Vitals, WCAG certification, or vulnerability scanning. Note for hosted agents: the quota is keyed on the calling IP, so all users of one platform share a single daily preview. Treat it as a sample of the output, not as capacity. For real use, call the machine-payable production endpoint: GET https://api.santosautomation.com/api/audit?url=... — $0.015 USDC per successful audit on Base mainnet (eip155:8453) via x402 v2; no account or API key required.

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• GetGraphSchemaA

  GraphOS MCP ServerA

  Read the schema (SDL) that is currently published to a graph variant, with its hash and publication time. This is the same read that `rover graph fetch` performs. The response holds the whole document and is not truncated. A large federated graph measured over 800,000 characters, roughly 200,000 tokens, which exceeds the context window of most models. Prefer GetSubgraphSchema, which reads one subgraph at a time, and use this tool only when you need the whole API schema. Provide the graph ID and the variant name.

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• search_catalogA

  LLM ConfiguratorA

  Use this first when the user names a GPU, Mac, mini PC or language model and you need its id for the other tools. Matches names and common aliases in a fixed catalogue of local-LLM hardware and models. It does not return specs, fit or speed, and it does not search the web.

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• count_tokensA

  inktomd MCP ServerA

  Count the exact number of tokens in a text string for a specific AI model. Uses tiktoken for OpenAI models and estimates for others. Args: text: The text to count tokens for model: The AI model to count tokens for. Options: gpt-4o, gpt-4o-mini, gpt-4.1, claude-sonnet, claude-haiku, gemini-pro, gemini-flash, llama-4, deepseek-v3, mistral-large. Default: gpt-4o Returns: Token count information including count, context window, and fit status

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• get_security_scoreA

  RoutebaseA

  Get the active project's security score (0–100) and the count of open findings by severity. Pass trendDays to also get the daily score history over that many days — that is how you tell whether a project is improving or drifting. Use this for the score and open counts; for the findings behind it use get_security_findings. Requires project context.

  ConnectorAPI key

• models_searchA

  HubrisA

  Find models that fit a task. Filters by name, capability, price ceiling and context window, and can sort the result. This is the tool to reach for when choosing a model — it does the filtering server-side and returns at most 50 rows. All filters combine with AND, and every one of them is optional: calling with no arguments returns the first 50 active models. Two things worth knowing about prices. `maxInputPer1MRub` keeps only models billed per token, because a ruble-per-million ceiling is meaningless for a model billed per image. The `cheap_input` and `cheap_output` sorts push non-token models to the end of the list for the same reason — their token rate reads as zero, which would otherwise put video models at the top of "cheapest".

  ConnectorAPI key

• list_buildsA

  Glushkov Modelling MCPA

  Read-only. Returns a list of sailing-ship model summaries with title, slug, scale, manufacturer, build status, and site URL. Use this tool to browse the model catalog, compare models, filter by build status, or discover a model before requesting details. Use get_project_status only for the current progress of one known model. Use get_build_details for vessel background, technical notes, or build-log content. Results follow the site's model order and are limited to the requested limit. The response includes total for the number of returned models and totalAvailable for the number of models matching the filter before the limit is applied. If no models match the filter, returns an empty builds array.

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• ni_services_reserveA

  Northside Intelligence WebMCPA

  Reserve a Northside Intelligence service project with a non-refundable deposit of 20% of that service's lowest price: intelligence audit $410, personal intelligence setup $50, workflow integration $1,010, custom web design $1,370, tailored intelligence server $5,140. The buyer's card is saved and the balance is charged when the service is complete; final price is confirmed after scoping. Returns a checkout_url and order_id; after payment call ni_order_status with order_id.

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• run_promptA

  ZeroRank - Track and improve your AI search visibilityA

  Queue an on-demand run of an ACTIVE prompt across the workspace's enabled AI models (or a subset via `models`). Consumes answer-run budget per model (premium models weigh up to 20x): the monthly budget first (it resets on the 1st), then extra answers, which an owner or admin can buy in Settings → Billing and which never expire. Fails with ANSWER_RUNS_TOTAL_LIMIT when what is left of both cannot cover even the cheapest model being run. The result's `answerRuns` is { used, limit, credits } (credits = extra answers left; omitted for a workspace-only client). Answers land asynchronously a few minutes later — check list_chats. Limited to 5 run calls per minute.

  ConnectorOAuth

• set_workspace_modelsA

  ZeroRank - Track and improve your AI search visibilityA

  Enable or disable AI models for a workspace. `models` is a partial map of model key -> boolean: unlisted models keep their current setting (pass replace: true to treat it as the complete map, disabling everything unlisted). Requires an owner or admin role. At least one available model must stay enabled. Models reported as available: false cannot be enabled (the surface is not delivering) — they may only be set false. Each enabled model spends answer-run budget per run according to its weight (see get_workspace_models).

  ConnectorOAuth

• model_profilesA

  PlanExeA

  Optional helper before plan_create. Returns model_profile options with plain-language guidance and currently available models in each profile. If no models are available, returns error code MODEL_PROFILES_UNAVAILABLE.

  ConnectorNo auth