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619,814 tools. Updated 2026-09-28 18:28

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

  • Draws a chart from a CSV table and returns it as an image. WHEN TO USE: the user wants to see data as a chart, or needs a chart image for a document, a README, a slide or a chat. HOW IT WORKS: - csv: a header row, then data rows. First column: the category (or x value); the next columns: numbers. Use a comma or semicolon as separator; decimals with a point, or with a comma when the separator is a semicolon. Up to 20,000 characters. - chartType, and what each one needs: bar, horizontalBar, line, area, pie, donut, funnel — one category column + one numeric column; multiline — one x column + one or more numeric columns (one line per column); scatter — two numeric columns (x, y); heatmap — three columns: row, column, value. - title: optional, drawn at the top. RETURNS: - image: a PNG address that IS the chart (rendered on request) — put it straight into Markdown (![title](image)) or an <img>. imageSvg: the same as SVG, sharper where SVG is accepted. Both are null when the CSV is too long to fit in an address; then use svg. - svg: the chart as SVG markup. - link: this tool's web page with the same chart, to edit it. ERRORS say what is wrong with the CSV (missing columns, non-numeric values, too many rows); fix the data and call again.
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  • Search the AQUAVIEW catalog — a comprehensive collection of 268K+ global oceanographic, atmospheric, and marine datasets from 15 sources (NOAA, NDBC, IOOS, WOD, CoastWatch, etc.), intended for scientific research, data analysis, and environmental monitoring. You must provide at least one of: q, bbox, datetime, collections, filter, or token. Hint: When the user asks for a region, prefer the 'bbox' parameter over including region name in 'q'. Use the geo_hints resource for common bounding boxes. Args: q: Free-text search across title, description, and keywords (e.g., "sea surface temperature"). Case-insensitive, OR logic across terms. bbox: Bounding box as "west,south,east,north" (e.g., "-98,24,-80,31" for Gulf of Mexico). datetime: Temporal filter. Single datetime, range ("2020-01-01T00:00:00Z/2024-12-31T23:59:59Z"), or open-ended ("../2024-01-01T00:00:00Z" or "2020-01-01T00:00:00Z/.."). collections: Comma-separated collection IDs to search within (e.g., "NOAA,NDBC,WOD"). Use list_collections to see available IDs. exclude_collections: Comma-separated collection IDs to omit from results (e.g., "INCIDENT_NEWS" to drop oil-spill reports from free-text searches). Applied as a CQL2 NOT filter, so it composes with `filter`. filter: CQL2-JSON filter as an object or JSON-encoded string. Supports flat and nested property paths. Flat example: {"op": "=", "args": [{"property": "aquaview:institution"}, "NOAA/NCEI"]}. Nested example (filter by per-variable stats summary): {"op": "<=", "args": [{"property": "aquaview:column_stats_summary.variables.Pressure.min"}, 10]}. Supported operators: =, <>, <, >, <=, >=, like, between, in, and, or, not. license: Comma-separated SPDX license id(s) to match exactly (e.g., "CC-BY-4.0,CC0-1.0"). Also accepts the controlled extra values "public-domain", "proprietary", "various", "unknown". Matched against `aquaview:license`, which is normalized on every item regardless of source. sortby: Sort specification as "+field,-field" (e.g., "+properties.datetime,-id"). + = ascending, - = descending. limit: Number of results to return, 1-100. Defaults to 10. token: Pagination token from a previous response's 'next_token' field. Pass this to get the next page of results. fields: Comma-separated list of fields to include in results (e.g., "id,geometry,properties.title"). Reduces response size. When set in CSV mode, emits projected columns (no canonical columns, no asset_keys, no `## assets` section). include_assets: If False (default), asset download records are omitted to save ~60-70% of response tokens; CSV mode still emits a capped `asset_keys` hint column (e.g. `column_stats;overview;gdac_prof;+[N]`) so an agent can see what kinds of assets exist. To get full URLs, call `get_item(collection, item_id)` for the specific id. If True, assets are included inline (full dict for JSON/TOON; `## assets` section with item_id,key,href,type,title rows for CSV). output_format: "csv" (default, sectioned CSV — canonical columns including asset_keys hint), "json", or "toon". Returns: Search results with metadata (total matched, returned, next_token) and items. CSV mode emits `## metadata` + `## items` sections and a `## assets` section when include_assets=True; columns are id,collection,bbox,datetime,title,institution, platform_type,cdm_data_type,variables,keywords,source_url,description, column_stats_summary,geometry,asset_keys. JSON/TOON return the STAC feature shape, with the `assets` dict present only when include_assets=True.
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  • List the account's past generation tasks, newest first, with pagination. Filter by status (processing/completed/failed), model id, category (video/image/audio/text/llm), provider, or a created_after/created_before time window. Use it to find an earlier generation's task_id (for get_task, extend_video, or the veo/grok upscalers) or to review recent spend. Within one filter, comma-separated values are OR'd; different filters are AND'd.
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  • Add many addresses to the email allowlist in one call, separated by newlines, commas or semicolons. Duplicates and existing entries are skipped, invalid ones are returned separately: partial success is normal. Labels are not set here (a comma would split them): use set_site_access_email_label afterwards.
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  • Converts CSV text to JSON or JSON to CSV (direction: csv-to-json or json-to-csv), for data passed inline. CSV must be comma-separated, with a header row and at least one data row; double-quoted fields may contain commas. Semicolon- or tab-separated input is not detected and comes back as a single column. JSON input must be an array of objects: the union of their keys becomes the CSV header and missing values are left empty. Returns result (the converted text), rows and cols. Max 500,000 characters.
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  • Read a task's trail messages (protocol v0.2 trail_messages, GET /tasks/:id/messages): question, answer, handoff and note/discussion entries, last 100, newest last (reading order). Optionally filter to a comma-separated set of kinds. Read tier. Post with tascan_post_message.
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Matching MCP Servers

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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
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    Comprehensive CSV processing MCP server with 40+ operations for data manipulation, analysis, and validation. Features auto-save, undo/redo, and handles GB+ files
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Matching MCP Connectors

  • Query an ArcGIS Feature Service / Map Service layer by its url (from search_datasets). SQL-like `where`, comma-separated `out_fields`, `order_by`, `limit`, `offset`. Returns attribute rows (and geometry). Use where="1=1" + out_fields="*" to sample.
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  • [TRUTH ANCHOR] Batch canonical prices for several coins in one call. coins = comma-separated symbols, e.g. 'BTC,ETH,SOL' (max 50). Returns {prices:{SYM:price}, missing:[...], source, age_secs}.
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  • 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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  • [TRUTH ANCHOR] Batch canonical prices for several coins in one call. coins = comma-separated symbols, e.g. 'BTC,ETH,SOL' (max 50). Returns {prices:{SYM:price}, missing:[...], source, age_secs}.
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  • Returns upcoming and recent economic events (Fed meetings, jobs reports, CPI, GDP). Defaults to US events at High/Medium impact only because the raw feed includes hundreds of low-impact items from every country. Args: daysBack: Days to look back (default 0) daysForward: Days to look forward (default 7) fromDate: Start date ISO format (alternative to daysBack) toDate: End date ISO format (alternative to daysForward) countries: Comma-separated country names to keep (default 'US'). Pass an empty string to disable the country filter. Common values: 'US','UK','Germany','Japan','China','Canada','France'. impact: Comma-separated impact levels to keep (default 'High,Medium'). Valid values: 'High','Medium','Low'. Pass empty to keep all levels. limit: Max events returned after filtering (default 50, max 200). Returns: { totalMatched, returned, filters, economicCalendar: [...] }.
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  • Generate an AI keyword/content plan for the website. Optionally guide it with topic instructions and comma-separated primary/secondary keywords. Can take a minute or two. Set replace_existing=true only after the user explicitly approves discarding the current plan's pending topics; that path also requires confirm_replace_existing=true.
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  • Account list information with engagement metrics and statistics. USE FOR: Account list performance/engagement, ABM list effectiveness, account journey metrics (reached, engaged, converted, qualified), account list pipeline/opportunities, comparing account lists, conversion funnel analysis. NOT FOR: Campaign-level details (use experiment_performance_stats), individual experiment performance (use performance_metrics), budget group analysis (use budget_group_performance). CHANNELS: FACEBOOK, LINKEDIN, GOOGLE_ADS, INSTAGRAM (comma-separated) METRICS: accounts, reachedAccounts, engagedAccounts, convertedAccounts | qualifiedAccounts, influencedOppsAccounts, triggeredOppsAccounts, wonAccounts | impressions, clicks, leads, mqls | influencedOpps, influencedAmount, triggeredOpps, triggeredAmount | id, name, lastUpdatedDate Returns paginated response with totalElements, totalPages, and data array.
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  • Fetch public Steam profiles for up to 100 comma-separated SteamID64s in one request; returns persona name, avatar, country, and status for each.
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  • Bitfinex crypto exchange — multi-symbol live tickers for crypto pairs. Pass comma-separated symbols like "tBTCUSD,tETHUSD" or "ALL". Returns bid/ask, last, daily change, volume per pair.
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  • [STEP 2 — pick the coin] Cross-asset ranking: assembled trade plans for the given coins sorted by setup_score (best first) — answers 'which coin is the better trade right now?'. coins = comma-separated (default BTC,ETH,SOL). Mirrors GET /rank. Analytical, not advice.
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  • Run aggregation queries on the AQUAVIEW catalog — get counts, spatial distributions, temporal distributions, and per-collection breakdowns without fetching individual items. Args: aggregations: Comma-separated aggregation types (required). Valid types: total_count, datetime_max, datetime_min, datetime_frequency, collection_frequency, geometry_geohash_grid_frequency, geometry_geotile_grid_frequency. collections: Comma-separated collection IDs to scope the aggregation (e.g., "NOAA,NDBC"). exclude_collections: Comma-separated collection IDs to omit from the aggregation (e.g., "INCIDENT_NEWS"). Applied as a CQL2 NOT filter, so it composes with `filter`. bbox: Bounding box as "west,south,east,north". datetime: Temporal filter (same format as search_datasets). q: Free-text search to scope the aggregation. Multi-word queries are tokenised on whitespace and OR-combined to mirror search_datasets semantics (aggregate compiles q to CQL2 LIKE clauses on title/description; a raw %multi word% substring match would return 0 for most queries). filter: CQL2-JSON filter as an object or JSON-encoded string. Flat example: {"op": "=", "args": [{"property": "aquaview:institution"}, "NOAA"]}. Nested example: {"op": "<=", "args": [{"property": "aquaview:column_stats_summary.variables.Pressure.min"}, 10]}. license: Comma-separated SPDX license id(s) to scope the aggregation (e.g., "CC-BY-4.0,CC0-1.0"), or one of "public-domain", "proprietary", "various", "unknown". Matched against `aquaview:license`. precision: Grid precision for geo aggregations (1-12, higher = finer grid). Applied to whichever geo aggregation type is requested. datetime_frequency_interval: Interval for datetime_frequency (e.g., "month", "year", "day"). output_format: "csv" (default, sectioned CSV — ~50% fewer tokens than TOON for bucket responses), "json" (structured STAC API response), or "toon". Use "json" for deterministic/structured consumers. Returns: Aggregation results. In CSV mode: one `## <name>` section per aggregation; scalars render on a single line; bucket aggregations render as CSV with a `# rows: N` header, a `# key=value` line for columns that are constant across all rows, and a conventional CSV table of the varying columns. In JSON/TOON mode: the raw SFEOS response with `name`, `data_type`, and `value`/`buckets` for each requested aggregation.
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  • [STEP 2 — pick the coin] Cross-asset ranking: assembled trade plans for the given coins sorted by setup_score (best first) — answers 'which coin is the better trade right now?'. coins = comma-separated (default BTC,ETH,SOL). Mirrors GET /rank. Analytical, not advice.
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  • Returns upcoming dividend and earnings events for tickers. Args: tickers: Comma-separated ticker symbols (e.g. "AAPL,MSFT") from_date: Optional start date (ISO format, e.g. "2026-03-01") to_date: Optional end date (ISO format, e.g. "2026-06-01") Returns: dividend dates, earnings dates, and coupon dates per ticker.
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  • TipRanks-generated catalyst summary explaining why a stock is moving. Each entry: {ticker, summary, sentiment, updated} where sentiment is 'positive' | 'neutral' | 'negative'. Updated throughout the trading day. Use to explain today's move for a specific stock. Args: tickers: Comma-separated tickers (e.g. 'AMZN' or 'AMZN,NVDA').
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  • Screen a government-issued ID (passport, tax ID, …) across the enabled lists (fuzzy matching). `lists`: optional comma-separated list slugs.
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