"Tools for generating charts based on data" matching MCP tools:

• ai_readiness_check

  ListingGood MCP

  Score how likely Amazon's AI (Rufus, COSMO) is to recommend a listing. Free, deterministic, rule-based check on pasted listing copy (title, bullets, description). Returns a compliance health score, an AI-readability score, and a combined AI Recommendation Readiness Score (compliance * 0.55 + readability * 0.45) with actionable suggestions. Use this as a fast baseline BEFORE generating or editing a listing. Do NOT use it for a full compliance report - use compliance_scan for the deep knowledge-base audit. Free, read-only, no API key required, no credits deducted. Args: text: raw listing title + bullets + description (required). marketplace: marketplace code, US/DE/ES/FR/IT/JP/AE/SA/UK (default US). lang: zh or en (default en). email: optional lead email for a confirmation message and lead capture.

  Connector

• generate_strategic_review

  TrendIdea

  Generate an executive-level strategic review report for an idea, synthesising all available validation data (market research, competition, SWOT, revenue model, VC score) into a concise go/no-go assessment with actionable recommendations. Requires prior validation data (run request_revalidation first if none exists). Returns cached report instantly if one exists, otherwise generates fresh analysis. Spends 2 credits only when generating new content. Not read-only; pass an ideaId you own.

  Connector

• fetch_indicator

  Owid

  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.

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• list_brand_assets

  Heista

  List images for a brand. Filter by PowerSource (this scan only, via powersource_id), by on-pack product_name (the vision tagger's read), by type (logo, product, product_cutout, hero, lifestyle, ingredient, packaging, certification, before_after, infographic, screenshot, video, general), or by is_primary_product. Use this BEFORE generating any image-based output so you pick from the brand's real assets, not generic stock. Returns asset_id, signed url, type, detected_product_name, is_primary_product, sources. Free, read-only. Paginated via cursor.

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• top_books

  Itunes Search

  Apple Books chart, read from Apple's RSS Marketing Tools feed — the top-free (default) or top-paid ebooks in one storefront country, up to 100 entries. Each entry returns the book title, author, Apple id, genres, release date, artwork URL and Apple Books link. Answers which ebooks are topping the Apple Books charts today.

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• games_on_date

  stat-api — Sports Data

  Games scheduled/played on one calendar date (US-Eastern) for nba, mlb, or nhl; defaults to today. Returns the same envelope as query_table on the games table. NFL is week-based, not date-based — for nfl, use query_table on nfl/games with season_id + week filters instead. Requires an API key; rows count against quota.

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• get_knowledge_version

  Marmo UI MCP

  Returns the MCP knowledge version: gitSha, indexedAt, componentCount, patternCount, uptimeSeconds. Call this ONCE per session before generating UI code so you know how fresh the design-system data is. Cheap to call. If gitSha is "unknown" or indexedAt is far in the past, surface that to the user before relying on the data.

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• recommend_strategy

  mcp

  Recommend a vault or model portfolio for a user based on their risk profile and chain preference. Uses live APY data to choose the best current option. Returns a recommendation with reasoning. Use this when the user describes what they want ("I want safe yield on Base", "maximise returns on Ethereum") rather than asking about a specific vault. Always reminds users this is informational, not financial advice.

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• get_knowledge_version

  marmo-ui

  Returns the MCP knowledge version: gitSha, indexedAt, componentCount, patternCount, uptimeSeconds. Call this ONCE per session before generating UI code so you know how fresh the design-system data is. Cheap to call. If gitSha is "unknown" or indexedAt is far in the past, surface that to the user before relying on the data.

  Connector

• precis_orientation

  Précis Finance MCP

  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.

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• check_api_status

  livetennisapi-mcp

  Check whether the Live Tennis API is reachable and which plan the configured key is on. Useful for diagnosing why other tools are refusing data.

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• list_models

  CCAPI

  List the AI models this CCAPI key can actually call, with their capability category and the MCP tool that drives them. Call this before generating anything if you are unsure a model name is valid — availability depends on the key's group and changes over time. Never guess model names.

  Connector

• list_divisional_charts

  Jagannatha Hora — Vedic Astrology (Jyotish, Kundli, Horoscope, Panchang)

  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.

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• find_related_objects

  ALM X++ MCP Server

  Returns ALL FK/DeleteAction/DataSource relations (outgoing) AND back-references (incoming). Call BEFORE generating multi-object code to understand the full dependency graph. When the relation index is loaded, delegates to get_relation_graph (O(1)) internally — do NOT call both tools for the same object.

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• search_public_apis

  agentView

  Searches a curated catalog of 600+ free public APIs (no key, HTTPS) for embedding live data in display HTML via fetch(): weather, news, finance, sports, images, food and 40+ more categories. Use when generating HTML that needs live internet data. Set list_categories=true to get the category menu with counts instead of search results. Returns docs links, CORS status and fetch() hints. No authentication required.

  Connector

• tengu_v3_skills_apex_equity

  tengu-firm

  Apex Equity Intelligence — single-call omnibus brief for 'what do you think about $TICKER'. Fuses 12 vendor calls in parallel (daily + hourly charts, company facts, income/balance statements, snapshot, insider, congress, lobbying, gov-contracts, WSB, patents, off-exchange). Returns: 'fundamentals' (12 scalar fields — name, sector, market_cap, last_price, day_change_pct, latest_revenue, latest_net_income, latest_eps, total_assets/liabilities/equity, filing_date), 'intel' (8 scalar fields — insider/congress 30d buy-sell counts, ttm_lobbying_usd, ttm_gov_contract_usd, wsb_7d_mentions+sentiment, patent_filings_recent, avg_dark_pool_pct_30d), 'flags' (notable patterns: insider_cluster_buy/sell, elevated_dark_pool, retail_attention_spike, etc.), 'chart' (primary daily 120-bar candlestick PNG with RSI/MACD/BB indicators, palette-quantized to keep the tool result under 32KB), and 'charts' (a list of ADDITIONAL charts beyond the primary — currently just the hourly intraday chart; do NOT expect the daily here, it's only in 'chart'). 'components' carries raw counts of items behind each digest. 'vendor_errors' is non-empty when one of the parallel fetches failed; the rest of the payload is still usable. For full per-section detail (complete insider trade list, full income statements, etc.) call the dedicated tools tengu_v3_fundamentals_*/tengu_v3_intel_* — apex_equity is the digest, not the firehose.

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• brain_brain_query

  personalbrain-mcp

  Primary tool for pattern-based operations on TheBrain. Requires npub for credit billing. Accepts BrainQuery (BQL) -- a Cypher subset supporting MATCH, WHERE, CREATE, SET, MERGE, DELETE, and RETURN. ⚠️ Name-based matching (MATCH by name, WHERE CONTAINS/STARTS WITH/=~) resolves through the vendor's search/name index, which is incomplete on large brains (TheBrainTech/thebrain-api-quickstart-python#1): a query may fail to match a thought that provably exists. An empty match set is NOT proof of absence — do not CREATE/MERGE a node on the assumption it is missing without an ID-based check (get_thought). Matching by ID is reliable; matching by name inherits the index's blind spots.

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• get_generator_guide

  trident

  Returns LLM-optimized instructions for generating Trident diagrams, including quick reference, critical rules (especially Y-axis!), spacing guidelines, common patterns, color conventions, and error prevention checklist. Use this before generating any Trident diagram.

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• search_charts

  Helm MCP

  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.

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• usaspending_list_agencies

  usaspending-mcp-server

  List all top-tier federal agencies with toptier codes, agency slugs, budget authority amounts, and obligation totals for the current fiscal year. Use this as the entry point for agency navigation — toptier codes and agency slugs are required inputs for usaspending_get_agency and agency-based filters on spending analysis tools.

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