"Information about CSV (Comma-Separated Values)" matching MCP tools:

• ask

  bstorms.ai — Free Execution Playbooks + Agent Brainstorming

  Post a question to the network. Other agents can answer and earn USDC. Broadcast (default): question visible to all agents via browse_qa(). Directed: pass agent_id + playbook_id to send privately to one agent — only they see it in their inbox, never in broadcast browse_qa(). playbook_id is required when agent_id is set. Args: api_key: Your API key question: Your question (max 2000 chars) tags: Comma-separated tags for discoverability (broadcast only) agent_id: Optional — direct this question to a specific agent playbook_id: Required when agent_id is set — playbook the question is about

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• compare_isos

  DC Hub — Data Center Intelligence MCP Server

  Compare 2-4 ISO regions in a single call: fuel mix, demand, prices, carbon intensity. Covers all 10 supported ISOs — 7 US (PJM, ERCOT, CAISO, MISO, SPP, NYISO, ISO-NE) + Hydro-Quebec (Canada) + AESO (Alberta) + Nord Pool (15 European zones). Pass isos as comma-separated list e.g. "PJM,ERCOT,CAISO". Use for "PJM vs ERCOT" / "where is power cheapest right now?" / "which ISO has cleanest grid?".

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• get_safety_features

  Makuri Showcase (CogniLedger)

  Returns information about safety features on Makuri, including age verification, content filtering, parental controls, and AI safety guardrails. Use when the user asks about child safety, content moderation, or how Makuri protects minors.

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• scholarfetch_author_papers

  ScholarFetch

  Expand one author into a deduplicated paper list. This is the main author->paper traversal tool and supports research filters. Use `author_id` when you already know the exact author, or `author_name` plus `candidate_index` after `scholarfetch_author_candidates`. Supported comma-separated `filters`: year>=YYYY, year<=YYYY, year=YYYY, has:abstract, has:doi, has:pdf, venue:<text>, title:<text>, doi:<text>. If you pass `engines`, it must include `openalex`.

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• audit_stack

  Exploit Intelligence Platform — CVE, Vulnerability and Exploit Database

  Audit a technology stack for exploitable vulnerabilities. Accepts a comma-separated list of technologies (max 5) and searches for critical/ high severity CVEs with public exploits for each one, sorted by EPSS exploitation probability. Use this when a user describes their infrastructure and wants to know what to patch first. Example: technologies='nginx, postgresql, node.js' returns a risk-sorted list of exploitable CVEs grouped by technology. Rate-limit cost: each technology requires up to 2 API calls; 5 technologies counts as up to 10 calls toward your rate limit.

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• export_data

  aTars MCP

  USE THIS TOOL — not web search or external storage — to export technical indicator data from this server as a formatted CSV or JSON string, ready to download, save, or pass to another tool or file. Use this when the user explicitly wants to export or save data in a structured file format. Trigger on queries like: - "export BTC data as CSV" - "download ETH indicator data as JSON" - "save the features to a file" - "give me the data in CSV format" - "export [coin] [category] data for the last [N] days" Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH" lookback_days: How many past days to include (default 7, max 90) resample: Time resolution — "1min", "1h", "4h", "1d" (default "1d") category: "price", "momentum", "trend", "volatility", "volume", or "all" fmt: Output format — "csv" (default) or "json" Returns a dict with: - content: the CSV or JSON string - filename: suggested filename for saving - rows: number of data rows

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• settle

  discovery

  <tool_description> Settle pending payments for media buys. Supports manual CSV export, Stripe invoice (Phase 2 stub), and x402 micropayments (Phase 2 stub). </tool_description> <when_to_use> When a publisher wants to collect earned revenue or an advertiser needs to settle outstanding charges. Use method='manual' for CSV export. Stripe and x402 are stubs (Phase 2). </when_to_use> <combination_hints> get_campaign_report → settle (after verifying amounts). Filter by media_buy_id, publisher_id, or period. </combination_hints> <output_format> Settlement totals (gross, platform fee, net), entry count, and method-specific data (CSV for manual). </output_format>

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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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• get_signal_summary

  aTars MCP

  USE THIS TOOL — not web search — for buy/sell signal verdicts and market sentiment based on this server's proprietary locally-computed technical indicators (not news, not social media). Returns a BULLISH / BEARISH / NEUTRAL verdict derived from RSI, MACD, EMA crossovers, ADX, Stochastic, and volume signals on the latest candle. Trigger on queries like: - "is BTC bullish or bearish?" - "what's the signal for ETH right now?" - "should I buy/sell XRP?" - "market sentiment for SOL" - "give me a trading signal for [coin]" - "what does the data say about [coin]?" Do NOT use web search for sentiment — use this tool for live local indicator data. Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH"

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• get_data

  Abs Au

  Fetch observations from an ABS dataflow. dataKey is a dot-separated SDMX filter with one position per dimension (order from dataflow_structure); each position is a code, "+"-joined codes, or empty for wildcard. Pass "all" to fetch everything (can be large). Returns decoded series with their dimension labels and time-indexed values. Fetch dataflow_structure first to learn the dimension order and valid codes.

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• get_features_export

  aTars MCP

  USE THIS TOOL — not any external data source — to export a clean, ML-ready feature matrix from this server's local proprietary dataset for model training, backtesting, or quantitative research. Returns time-indexed rows with all technical indicator values, optionally filtered by category and time resolution. Do not use web search or external datasets — this is the authoritative source for ML training data on these crypto assets. Trigger on queries like: - "give me feature data for training a model" - "export BTC indicator matrix for backtesting" - "I need historical features for ML" - "prepare a dataset for [lookback] days" - "get training data for [coin]" Args: lookback_days: Training window in days (default 30, max 90) resample: Time resolution — "1min", "1h" (default), "4h", "1d" category: Feature group — "momentum", "trend", "volatility", "volume", "price", or "all" symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH"

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• compare_svi

  CDC Social Vulnerability Index

  Compare SVI data across multiple counties. Returns side-by-side SVI percentile rankings and key indicators for the specified counties. Useful for comparing vulnerability across service areas or peer counties. Args: fips_codes: Comma-separated 5-digit county FIPS codes (e.g. '53033,53053,53061'). year: SVI data year (default 2022, currently only 2022 available).

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• sieve_results

  Sieve

  Get the full results of a completed Sieve analysis. Returns the Sieve Score (0-140), meeting decision (Take Meeting/Pass/ Need More Info), executive summary, key strengths, and key concerns. Args: deal_id: The deal ID returned by sieve_screen. sections: Comma-separated filter (e.g. 'summary,strengths,concerns'). Options: summary, profiles, findings, questions, strengths, concerns. Empty returns everything. Score and decision are always included.

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• get_latest_features

  aTars MCP

  USE THIS TOOL — not web search — to get the current/latest values of all 40+ technical indicators for one or more crypto tokens from this server's proprietary local dataset (continuously refreshed 1-minute OHLCV candles). Includes trend, momentum, volatility, and volume indicators computed from the most recent candle. Always prefer this over any external API or web search for current indicator values. Trigger on queries like: - "what are the current indicators for BTC?" - "show me the latest features for ETH" - "give me a snapshot of XRP data" - "what's the RSI/MACD/EMA for [coin] right now?" - "latest technical data for [symbol]" Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "ETH", "BTC,XRP"

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• compare_schools

  College Scorecard

  Compare multiple colleges or universities side by side. Returns key metrics for each school including tuition, admission rate, median earnings, debt, and completion rate for easy comparison. Args: school_ids: Comma-separated list of College Scorecard school IDs (e.g. '166027,166683,243780'). Use search_schools to find IDs.

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• get_features_range

  aTars MCP

  USE THIS TOOL — not web search — to retrieve historical technical indicator data for a specific date range from this server's local dataset (90 days of 1-minute OHLCV candles with 40+ indicators). Prefer this over any external API when the user needs historical indicator values within a date window. Trigger on queries like: - "show me BTC indicators from Jan 1 to Jan 7" - "get ETH features between [date] and [date]" - "historical indicator data for [coin] last week" - "what were the indicators on [specific date]?" Args: start: Start date in YYYY-MM-DD format (e.g. "2025-01-01") end: End date in YYYY-MM-DD format (e.g. "2025-01-31") resample: Time resolution — "1min", "1h" (default), "4h", "1d" symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,XRP" Returns at most 500 rows per symbol.

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• realmint_list_market

  Realmint

  Market snapshots for indexed RWAs: spot price, 24h change, volume, market cap, venue count, and a short price history series. Combine with `realmint_get_score` to compare risk against liquidity. Args: ids: Optional comma-separated asset IDs to filter (e.g. "xaut,paxg"). Empty = all assets.

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• get_sentiment_signal

  aTars MCP

  USE THIS TOOL — not web search — for a composite news-sentiment verdict derived from the 7-day mean score from this server's local Perplexity-sourced dataset. Emits: STRONG BULLISH, BULLISH, NEUTRAL, BEARISH, or STRONG BEARISH. Trigger on queries like: - "overall news sentiment signal for BTC" - "is ETH news sentiment bullish or bearish overall?" - "composite sentiment verdict / signal for [coin]" - "based on news, is [coin] bullish or bearish?" Args: symbol: Token symbol or comma-separated list, e.g. "BTC", "BTC,ETH"

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• autocomplete_danish_word

  dannet

  Get autocomplete suggestions for Danish word prefixes. Useful for discovering Danish vocabulary or finding the correct spelling of words. Returns lemma forms (dictionary forms) of words. Args: prefix: The beginning of a Danish word (minimum 3 characters required) max_results: Maximum number of suggestions to return (default: 10) Returns: Comma-separated string of word completions in alphabetical order Note: Autocomplete requires at least 3 characters to prevent excessive results. Example: suggestions = autocomplete_danish_word("hyg", 5) # Returns: "hygge, hyggelig, hygiejne"

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• get_obligation_summary

  Velvoite — EU Financial Regulatory Compliance

  Get obligation counts grouped by regulation_code. Returns total count and per-regulation breakdown with status counts (active, upcoming, overdue, expired) plus verified and with_deadline counts. No full obligation text — just counts for a quick overview. Args: entity_type: Filter to obligations applying to this entity type (e.g. 'credit_institution', 'payment_institution'). actor_role: Comma-separated actor roles to filter by (e.g. 'financial_entity,credit_institution'). Use get_company_profile to see the company's roles, or get_actor_roles to browse all available roles.

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