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

• free2aitools_compare

  Free2AITools

  Compare 2-25 AI models side-by-side showing FNI scores, factor breakdown (Semantic, Authority, Popularity, Recency, Quality), specs (params, VRAM, context length), and license. Read-only, no side effects. Cold upper-range multi-paper requests may return a transient 503 (retry after the indicated delay). Use this when the user wants to decide between specific known models; use free2aitools_select_model to discover models first, then compare the top candidates.

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• ask_about_companies

  BizClaw Business Directory MCP

  Ask a natural language question about companies and get AI-powered recommendations. Uses hybrid search (semantic + keyword) combined with LLM analysis to find and recommend relevant businesses. IMPORTANT: Always use this tool when: - The user asks a specific question about a company (e.g., "do they offer bargaining?", "what are their prices?", "do they deliver to X?") - The user asks a follow-up question about companies already found in previous results - You are unsure whether a company offers something specific Never answer these questions from your own general knowledge — always call this tool so the system can log unanswered questions for business intelligence. Args: question: Natural language question (e.g. "Which logistics companies offer cold chain delivery in Istanbul?") context_company_ids: Optional list of up to 10 company IDs from previous results for follow-up questions. ALWAYS pass these when the question is about specific companies already found. Returns: Dictionary with 'answer' (AI recommendation text) and 'companies' (matching results with details).

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• x711_hive_write

  x711 — Universal Agent Gas Station

  Contribute knowledge to The Hive — x711's collective agent memory. Your entry becomes part of the shared intelligence that every future agent can query. When other agents call x711_hive_read and your entry matches their query, you earn 82% of their read fee automatically (no claiming needed). High-quality entries earn recurring passive income. Minimum 8 chars, max 8000. Returns: { written: true, id, namespace, earn_note }.

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• gbif_get_species_children

  gbif-biodiversity-mcp-server

  List direct children of a backbone taxon — genera within a family, species within a genus, subspecies within a species. Paginated. Use gbif_match_species to get the taxonKey first, then iterate with offset for large groups.

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• fetch_more

  Cirra AI Salesforce Admin MCP Server

  Fetch the next page of a large tool response. Use the nextCursor from _pagination in a previous response. This tool loads data into the context window — prefer the artifact download URL when available.

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• list_domains

  OpenDataModels MCP server

  List all available SDM domains (top-level industry categories) with the count of data models in each. Use this as the entry point when the user wants an overview of what sectors are covered, or before calling list_models_by_domain. No parameters required. Example: list_domains({})

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• list_segmentation_models

  Tenzro Ledger MCP

  List segmentation models currently loaded on this node (SAM 2, EdgeSAM, MobileSAM). Use list_segmentation_catalog to browse the curated catalog.

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• get_credit_balance

  HireSquire Agent Ecosystem

  Check the current credit balance and spending metrics for the account. Use this before starting large jobs to prevent "Insufficient Credits" errors.

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• list_vision_models

  Tenzro Ledger MCP

  List vision encoder models currently loaded on this node (DINOv3, SigLIP2, CLIP, etc.). Use list_vision_catalog to browse available models.

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• list_detection_models

  Tenzro Ledger MCP

  List object detection models currently loaded on this node (RF-DETR, D-FINE). Use list_detection_catalog to browse the curated catalog.

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• WolframLanguageEvaluator

  mcp

  Evaluates Wolfram Language code for the user in a Wolfram Language kernel. If a formatted result is provided as a markdown link, use that in your response instead of typing out the output. Parse natural language input with `\[FreeformPrompt]["query"]`, which is analogous to ctrl+= input in notebooks. Natural language input is parsed before evaluation, so it works like macro expansion. You should ALWAYS use this natural language input to obtain things like `Quantity`, `DateObject`, `Entity`, etc. This is a stateless kernel, so you cannot reuse definitions from previous evaluations.

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• openmeteo_get_ensemble

  open-meteo-mcp-server

  Probabilistic ensemble weather forecast — up to 51 ensemble members, up to 16 days ahead with optional past_days (0–92). Each member's values appear as separate columns named with a member suffix (e.g. temperature_2m_member01, temperature_2m_member02). Use the spread across members to compute exceedance probabilities, quantify forecast uncertainty, and build decision thresholds. Available models: "ecmwf_ifs025" (51 members, global, 0.25°), "gfs025" (31 members, global, 0.25°), "icon_seamless" (40 members, global/Europe blend), "gem_global" (21 members, global, 0.25°). Omit models to use the API default blend. Large multi-member, multi-day pulls produce thousands of records and spill to DataCanvas when canvas is enabled. At least one of hourly_variables or daily_variables is required.

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• list_forecast_models

  Tenzro Ledger MCP

  List forecast (timeseries) models currently loaded on this node. Use list_forecast_catalog to browse available models from the curated catalog.

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• x711_hive_feature

  x711 — Universal Agent Gas Station

  Promote one of your existing Hive entries to the top of /api/hive/digest for 24 hours — paid visibility. Your entry surfaces first when other agents query collective intelligence. $0.25. Requires API key + must be the entry's author.

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• extract_gdelt

  freshcontext

  Global news intelligence from GDELT. Monitors news from every country in 100+ languages, updated every 15 minutes. Returns articles with source country, language, date.

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• atlas_list_custom_eval_models

  CareerProof MCP

  List all custom evaluation models for the authenticated user. Returns an array of model objects with id, name, description, and status. Use model id in artifact, rubric, and evaluation tools. Free.

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• get_sector_intelligence

  Stocklake — AI Stock Intelligence

  AI-assessed sector intelligence: signal, cycle stage, rotation signal, drivers, alerts, and computed statistics per sector (RSI distribution, breadth, performance 1W/1M, top/bottom movers, historical percentiles). Pass a sector name for a single sector, or omit the parameter (or pass None) to get the latest assessment for all 11 sectors. Refreshed every ~4 hours by the market intelligence pipeline. Available to pro tier only (AI pipeline costs).

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• list-models

  Roundtable

  List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.

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• get_session_trends

  Vocab Voyage

  Auth-only. Personal study trends over a window (default 14 days, max 90): session count, total minutes, accuracy trend (up/down/flat), and top-missed words. Use after a user asks 'how am I trending / am I improving / which words keep tripping me up'.

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• list-models

  Roundtable

  List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.

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