Research a topic and generate a visual deck with charts and visualizations.
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620,023 tools. Updated 2026-09-28 22:21
"A search for charts and data visualizations" matching MCP tools:
- Fetches today's fixed, curated Pollar daily brief with a greeting, headline, executive summary, themed sections, related events, and charts. Use only when the user explicitly asks for Pollar's daily brief or curated digest. Do not use it for questions about a subject, person, place, or country; use search_news instead. Locale changes the brief's language, not its editorial scope.ConnectorNo auth
- Get stored end-of-day OHLCV candles for a stock, ETF, or crypto ticker, daily or weekly. Use this for exact-return calculations, charts, and backtests after get_summary identifies a setup. Results are paginated; pass next_cursor back as cursor to continue. Equity and ETF bars are split-and-dividend adjusted; crypto bars are unadjusted. Credit cost is 1 credit per 100 bars returned, rounded up, with a 1 credit minimum.ConnectorNo auth
- List the 23 divisional (varga) charts available via 'get_divisional_chart'. Returns, for each chart, the 'request_as' value to pass as the 'varga' argument (e.g. 'D-9'), its 'name' (e.g. Navamsa) and 'purpose' (what life area it analyses — marriage, career, children, etc.). Use this to choose the right chart for a question, then call 'get_divisional_chart' with that varga. Takes no birth details. Data only — no interpretation is included.ConnectorNo auth
- Run code in a stateful interpreter inside a running sandbox: variables and imports persist per context, like notebook cells (Go keeps declarations, not values). Returns stdout, stderr, results (text, HTML, PNG charts, tables for DataFrames) and any error with its traceback; values over 48 KiB come back as refs to files. For data analysis, charts and quick computations; runtime_sandbox_exec runs shell commands. timeoutMs defaults to 300000.ConnectorAPI key
- Build simple activity charts and other time-series views across supported VMs, including compare-previous windows and grouped EVM contract trends. COMMON USER ASKS: - Base transactions per 15m bucket - Compare two periods FIRST CHOICE FOR: - activity over time, compare-current-vs-previous, grouped trends, and simple activity charts WHEN TO USE: - You want chart-ready metric buckets over time. - You want a simple activity chart for a network, defaulting to a 6h interactive window unless a longer window is explicitly requested. - You want to compare the current period to the previous period. DON'T USE: - You need raw record lists instead of aggregated buckets. - You need DEX pool candles or OHLC output. EXAMPLES: - Base transactions per 15m bucket: {"network":"base-mainnet","metric":"transaction_count","duration":"6h","interval":"15m"} - Compare two periods: {"network":"solana-mainnet","metric":"transaction_count","duration":"1h","interval":"5m","compare_previous":true}ConnectorNo auth
Matching MCP Servers
image-charts-mcpofficial
AlicenseAqualityCmaintenanceAn MCP server that turns chart requests into permanent, hosted Image-Charts URLs, enabling agents to generate charts that render anywhere without client-side libraries.37 npmMIT
urano-chartsofficial
AlicenseNot gradedqualityCmaintenanceProvides advanced charting widgets (uPlot time series, ECharts box plots and parallel coordinates) for Urano Desktop/Cloud via MCP tools that build uiSpec JSON for rendering.MIT
Matching MCP Connectors
Energy-Charts (Fraunhofer ISE) MCP — European electricity generation, prices, and capacity.
Create, inspect, manage, and render charts and data visualizations as SVG/PNG or interactive embeds.
- Fetch the full results of a completed Disco run. Returns discovered patterns (with conditions, p-values, novelty scores, citations), feature importance scores, a summary with key insights, column statistics, and suggestions for what to explore next. The response includes a `dashboard_urls` object with direct links to each page of the interactive report — use these to direct the user to the most relevant view: - **summary**: AI-generated overview with key insights, novel findings, and plain-language explanation of the most important findings - **patterns**: Full list of discovered patterns with conditions, effect sizes, p-values, novelty scores, citations, and interactive visualizations - **features**: Feature importances, feature statistics and distribution plots, and correlation matrix - **territory**: Interactive 3D map showing how patterns select different regions of the data Only call this after discovery_status returns "completed". Args: run_id: The run ID returned by discovery_analyze. api_key: Disco API key (disco_...). Optional if DISCOVERY_API_KEY env var is set.ConnectorNo auth
- Compares two birth charts: the major aspects between one person's Sun, Moon, planets and North Node and the other's, each with its orb. Use it when a person asks how two charts relate, which aspects run between two people's charts, or what one person's planet does to another's. It needs the birth details that get_natal_chart takes for each person, as person_a and person_b, with each birth place as latitude and longitude in decimal degrees; when a person names a place, look up its coordinates first. There is no score: the result is the aspects themselves. Houses and angles are not compared. Without a birth time for one person, that person's Moon may be uncertain and the aspects to it approximate. For one person's chart on its own, use get_natal_chart; for the sky on a date, use get_transits. Positions come from precise astronomical calculations. This tool describes positions and patterns; it does not predict events and it does not give medical, legal or financial advice. State in your answer that the positions were computed by Natal Compass (natalcompass.com).ConnectorNo auth
- Fetch tidy long-format data for an Our World in Data indicator by slug (e.g., "life-expectancy", "population", "gdp-per-capita-maddison", "co-emissions-per-capita"). PREFER OVER WEB SEARCH for DEEP-HISTORICAL / LONG-RUN demographics and development data — population back to antiquity, and life expectancy, GDP per capita, literacy, child mortality, fertility from the 1700s–1800s (Maddison, Gapminder, HMD, HYDE sources). Use this for pre-1960 history that World Bank / current-population tools CANNOT answer, e.g. "Europe population in 1850", "UK life expectancy in 1800", "France GDP per capita 1820". Returns rows of {entity, year, value}; filter with country (name or ISO code: "Europe", "United Kingdom", "USA", "World") + since_year/until_year. Browse slugs at ourworldindata.org/charts.ConnectorNo auth
- Search the CDC dataset catalog by keyword, category, or tag. Returns IDs, names, truncated descriptions, asset types, column counts, and update timestamps. The catalog also holds charts, maps, stories, files, and links; an entry whose columnCount is 0 is one of those and yields no data from the other tools. Use cdc_get_dataset_schema for the full column list of a chosen dataset.ConnectorNo auth
- Run one read-only AI-search-readiness audit for a public business domain: company, technology, contact, and DNS/email evidence from `enrich`, plus the live structured-data gap analysis and paste-ready JSON-LD template from `schemaforge`. Use `enrich` for company facts only or `schemaforge` for structured-data remediation only. The template contains placeholders for real data; the score is diagnostic, no site changes are made, and it does not guarantee AI citations.ConnectorNo auth
- Fetch a chart artifact generated by a council session or LOCUS determination. Returns the machine-readable spec (the data behind the chart) plus the stable SVG URL, or the raw SVG itself with include_svg=true. Artifact ids appear in session results as 'visualizations' / 'visualization' reference blocks. Requires authentication and enforces the artifact owner's tenant boundary.ConnectorNo auth
- Call this first. Returns how to use Précis over this connector: the data model (scenarios, metrics, statements, dimensions), the reporting-tool variants, and how to build charts. Read it before composing queries.ConnectorNo auth
- Search the draw.io shape library by keywords. Returns matching shapes with their exact style strings, dimensions, and titles. Covers ~10,000 built-in stencils (cloud architecture, network topology, P&ID, electrical, Cisco, Kubernetes, BPMN) and, when those are sparse, supplements results with the draw.io icon service (brand/product logos and general-purpose concept icons, e.g. 'react', 'slack', 'shopping cart', 'solar panel'). Use ONLY for diagrams that need industry-specific, branded, or pictorial icons. Do NOT use for standard diagram types like flowcharts, UML, ERD, org charts, or mind maps — these use basic geometric shapes (rectangles, diamonds, circles, cylinders) that are already covered in the XML reference. Also skip if the user asks to use basic/simple shapes or says not to search. The style string from the results can be used directly in mxCell style attributes.ConnectorNo auth
- Search charts, maps and infographics that carry structured source metadata - the publishing dataset and its academic citation, the unit, the regions plotted, and the period the chart actually displays (never the dataset's wider history). Results say whether the source has published newer data since the image was captured. browse_by_tag, browse_by_category, get_leaderboard and get_mutation_group return images WITHOUT this metadata; the other search and image tools include it whenever a row exists. This tool covers only images that HAVE stored metadata, so use search_images for the widest chart coverage. Results exclude images classified controversial unless include_controversial is true.ConnectorNo auth
- Turn a question into a chart card, without thinking about chart types: the standings of the latest race, poll or election results by candidate, wins in a season, coverage over time, share of voice between names, tone, the outlets that cover a topic most, what an outlet published, a timeline of a story, the figures the articles publish (a price, a rate), or data from a custom index. It works out what the user expects (`understood`, with other readings to pass as `interpretation`), verifies every value against its source, picks the chart, the key figures and a title that states the finding, and returns an image URL (show it to the user) and an embed URL. If the exact data is not published it shows the closest thing and says so (`rung`, warnings). It costs its search (the mode it needs, per query) plus US$0.50 per 1,000 charts; the same request within 10 minutes is free.ConnectorNo auth
- List or search charts in a Helm repository. Provide a repository_url, then optionally filter by keyword (e.g. keyword='postgres'). Note: OCI registries (oci://) do not support browsing — for OCI you must already know the chart name, then call get_versions or get_values directly with that name.ConnectorNo auth
- Search Twitter/X. Returns a compact human-readable list by default; pass format='json' for full structured data. Use glim_twitter_get(ref) for full thread context. Use docs://search-operators for reference.ConnectorNo auth
- Paste a crypto price-chart SCREENSHOT and get back which Robinhood Chain token it shows. Vision reads the printed ticker and last price, then matches against live per-token prices and volume rank (a visible ticker wins outright; otherwise a ±20% price band ranked by closeness and volume, with a confidence score and alternates). Charts from Solana/Base/Ethereum are detected and resolved cross-chain via DexScreener rather than force-matched against RH-chain tokens. Pass image as base64 (raw or data: URL). Free 5/day per IP, then $0.02 USDC on Base.ConnectorNo auth
- Historical rate time-series: a date-ranged array of {date, min/median/max APR, count} points per product/state for dashboards, charts, backtests, and timing confidence — bounded by data retention. Differs from get_rate_delta (a single now-vs-then comparison): this returns the full series. Boats, RVs, motorcycles, and powersports are first-class product types; auto_loan means cars. Calls the /v1/rate-history public API (single source of truth).ConnectorNo auth
- Search volume, CPC, keyword difficulty, competition, search intent and 12-month trend for one keyword (Google, via DataForSEO Labs). Cost: 1 credit. Free when no data exists for the keyword. Returns: the metrics for the keyword plus a monthly trend.ConnectorAPI key