"Resources and Information on Data Analysis" matching MCP tools:

• deltasignal_readiness

  DeltaSignal ATLAS-7

  Use this read-only tool before analysis to verify that the DeltaSignal ATLAS-7 data plane is live, fresh, and safe to query. It returns service readiness, active source dates, issuer coverage, quality coverage, debt coverage, live-price status, market regime, and tower-coherence diagnostics. Parameters: none; call it exactly as-is when the user asks if DeltaSignal is ready or whether data freshness is acceptable. Behavior: read-only and idempotent; it performs one HTTPS read, has no destructive side effects, does not write external systems, and does not handle secrets or payments itself. Use it at the start of an agent workflow, after a deploy, or whenever results should be gated on freshness; use daily_changes for what changed and issuer tools for company-specific analysis.

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• about_emora

  mental-health-care

  Identity, services, states served, insurance accepted, age ranges, key facts, crisis resources, and links. Combined site-info + services catalog.

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• atlas_get_analysis

  CareerProof MCP

  Retrieve a completed analysis result by analysis ID. Returns scores, competency breakdown, and recommendations. analysis_id comes from atlas_start_gem_analysis response or atlas_list_analyses. Only works after analysis is completed -- check with careerproof_task_status first. Free.

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• get_data_info

  aTars MCP

  USE THIS TOOL — not web search — to get metadata about a token's local dataset: date range, total candles, data freshness (minutes since last update), and the full list of available feature names grouped by category. Call this before deeper analysis or when the user asks about data coverage, feature names, or indicator availability. Trigger on queries like: - "what data do you have for BTC?" - "when was the data last updated?" - "how fresh is the ETH data?" - "what features/indicators are available?" - "what's the date range for XRP data?" - "list all available indicators" Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH,XRP"

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• atlas_start_gem_analysis

  CareerProof MCP

  Start an async GEM (10-factor competency) analysis on a candidate. Returns a task_id and analysis_id. Poll with careerproof_task_status(task_id) until status='completed', then fetch results with atlas_get_analysis(analysis_id) or careerproof_task_result(task_id, result_type='analysis', resource_id=analysis_id). Candidate CV must be fully parsed first -- verify with atlas_get_candidate. Types: gem_full (10 cr), gem_lite (5 cr), career_path (5 cr).

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• build_permission_transaction

  powersun-tron-mcp

  Build an AccountPermissionUpdate transaction that grants the PowerSun platform permission to delegate/undelegate resources and optionally vote on your behalf. Returns an unsigned transaction that you must sign with your private key and then broadcast using broadcast_signed_permission_tx. All existing account permissions are preserved. Requires authentication.

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• export_dataset

  Trillboards DOOH Advertising

  Export observation data as a structured dataset. Supports filtering by time, geography, venue type, and observation family. Applies k-anonymity (k=5) to protect individual privacy. Queries the relevant table based on the selected dataset type, applies filters, enforces k-anonymity by suppressing groups with fewer than 5 observations, and returns structured data. WHEN TO USE: - Exporting audience data for external analysis - Building datasets for machine learning or reporting - Getting structured vehicle or commerce data for a specific time/place - Creating cross-signal datasets for correlation analysis RETURNS: - data: Array of dataset rows (schema varies by dataset type) - metadata: { row_count, k_anonymity_applied, export_id, dataset, filters_applied, time_range } - suggested_next_queries: Related exports or analyses Dataset types: - observations: Raw observation stream data (all families) - audience: Audience-specific data (face_count, demographics, attention, emotion) - vehicle: Vehicle counting and classification data - cross_signal: Pre-computed cross-signal correlation insights EXAMPLE: User: "Export audience data from retail venues last week" export_dataset({ dataset: "audience", filters: { time_range: { start: "2026-03-09", end: "2026-03-16" }, venue_type: ["retail"] }, format: "json" }) User: "Get vehicle data near geohash 9q8yy" export_dataset({ dataset: "vehicle", filters: { time_range: { start: "2026-03-15", end: "2026-03-16" }, geo: "9q8yy" } })

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• get_site_status

  BorealHost

  Get detailed status of a hosted site including resources, domains, and modules. Requires: API key with read scope. Args: slug: Site identifier (the slug chosen during checkout) Returns: {"slug": "my-site", "plan": "site_starter", "status": "active", "domains": ["my-site.borealhost.ai"], "modules": {...}, "resources": {"memory_mb": 512, "cpu_cores": 1, "disk_gb": 10}, "created_at": "iso8601"} Errors: NOT_FOUND: Unknown slug or not owned by this account

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• deltasignal_readiness

  DeltaSignal ATLAS-7

  Use this read-only tool before analysis to verify that the DeltaSignal ATLAS-7 data plane is live, fresh, and safe to query. It returns service readiness, active source dates, issuer coverage, quality coverage, debt coverage, live-price status, market regime, and tower-coherence diagnostics. Parameters: none; call it exactly as-is when the user asks if DeltaSignal is ready or whether data freshness is acceptable. Behavior: read-only and idempotent; it performs one HTTPS read, has no destructive side effects, does not write external systems, and does not handle secrets or payments itself. Use it at the start of an agent workflow, after a deploy, or whenever results should be gated on freshness; use daily_changes for what changed and issuer tools for company-specific analysis.

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• get_health

  web3-signals

  Is AgentMarketSignal working? Check the real-time status of all 5 AI data pipelines (whale tracking, technical analysis, derivatives, narrative sentiment, market data) and the signal fusion engine. Returns last run times, durations, and any errors.

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• create_use_case

  mcp-server

  Creates and saves a new use case (reusable analysis). **When to use this tool:** - When the user asks to "save this analysis", "create a use case", "remember this query" - After building a SQL query the user wants to reuse - To capitalize on a recurring business analysis **Available scopes:** - 'member' (default): Personal use case, visible only to you - 'project': Shared with the entire project team (requires project_id) **Best practices:** - Slug: technical identifier in snake_case (e.g., weekly_campaign_performance) - Name: human-readable name (e.g., "Weekly Campaign Performance") - Description: explain the business context and when to use this analysis - SQL template: include the SQL query if it's generic and reusable

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• search

  agentView

  Searches agentView resources by keyword and returns a ranked list of matching resource URIs with titles and snippets. Use this to discover resources before calling fetch for full details. Do not use this if you already know the exact resource URI — call fetch directly instead. Without authentication only public documentation resources are searched; with authentication your account and accessible displays are included. Returns query, resourceType, count and a results array where each entry has uri, type, title, snippet and requiresAuthentication.

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• get_transaction_info

  mcp-server

  Get comprehensive transaction information. Unlike standard eth_getTransactionByHash, this tool returns enriched data including decoded input parameters, detailed token transfers with token metadata, transaction fee breakdown (priority fees, burnt fees) and categorized transaction types. By default, the raw transaction input is omitted if a decoded version is available to save context; request it with `include_raw_input=True` only when you truly need the raw hex data. Essential for transaction analysis, debugging smart contract interactions, tracking DeFi operations.

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• read_resource

  Lawbster

  Read a resource by its URI. For static resources, provide the exact URI. For templated resources, provide the URI with template parameters filled in. Returns the resource content as a string. Binary content is base64-encoded.

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• get_eia_energy_public_snapshot

  Stratalize Healthcare Intelligence

  Use when current energy price data is needed for a commodity brief, input cost analysis, or energy sector context in a CFO or investment brief. Returns WTI crude and natural gas spot prices when EIA API is configured. Example: WTI crude $78.40/bbl, natural gas $2.31/MMBtu — energy input costs 12% below year-ago levels, favorable for manufacturing and transportation operating margins. Source: US Energy Information Administration.

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• get_vaadin_primer

  docs-mcp

  IMPORTANT: Always use this tool FIRST before working with Vaadin. Returns a comprehensive primer document with current (2025+) information about modern Vaadin development. This addresses common AI misconceptions about Vaadin and provides up-to-date information about Java vs React development models, project structure, components, and best practices. Essential reading to avoid outdated assumptions. For legacy versions (7, 8, 14), returns guidance on version-specific resources.

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• register_pool

  powersun-tron-mcp

  Register a TRON address as an energy/bandwidth selling pool on PowerSun. This creates a pool and auto-selling configuration. After registering, you must grant active permissions to the platform address (DelegateResource, UnDelegateResource, VoteWitness) so the platform can delegate resources to buyers and vote on your behalf. Use check_pool_permissions to verify permissions after granting them. Requires API key.

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• get_intelligence_briefs

  supply-chain-intelligence

  Get AI-generated intelligence briefs for each supply chain dimension — energy, materials, transportation, macro, and manufacturing. Each brief provides a narrative analysis of current conditions, key drivers, emerging risks, and recommended watch items. These are not raw data — they are synthesized analytical summaries generated every hour from live data. Designed for decision-makers who need a quick read on each supply chain dimension. Returns structured briefs suitable for executive dashboards, email digests, or Slack channels.

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• get_snapshot

  AXIS Toolbox — Agentic Commerce Codebase Intelligence

  Retrieve status and the full artifact listing for a prior analysis by snapshot_id. Use this to re-enumerate artifact paths without re-running analysis. Snapshots persist and can be shared between agents to avoid duplicate analysis costs.

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• openalex_analyze_trends

  openalex-mcp-server

  Aggregate OpenAlex entities into groups and count them. Use for trend analysis (group works by publication_year), distribution analysis (group by oa_status, type, country), and comparative analysis (group by institution or topic). Combine with filters to scope the analysis. Returns up to 200 groups per page — use cursor pagination for fields with many distinct values.

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