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527,187 tools. Updated 2026-09-07 07:11

"Tools or software for generating charts and graphs" matching MCP tools:

  • Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.
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  • 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.
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  • Create or overwrite a memory entry by key. There is no separate update_memory; a second write to the same key replaces the previous value and cannot be undone. Use tier='working' for active tasks, 'contextual' for background context, 'longterm' for completed work. Set memory_type='hierarchical' and parent_key to build task graphs. Requires memory:write or full permission. Use delete_memory to remove a key, archive_memories to move it to longterm without deleting, and read_memory to fetch without replacing. Pass playbook_id as the UUID or GUID of the playbook this call should target.
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    Destructive
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  • Ayadi shadvarga calculator for a building or a room: send the dimensions and the API returns all six proportional formulas with the multiplier, the divisor and the remainder shown, the member each remainder names, and the two verdict rules the texts state. Choose between three text families, which genuinely disagree, and choose your own cubit length, because every remainder is unit sensitive. Built for practitioner tools, plan checking software and anyone who has to justify a dimension rather than assert it.
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  • 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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  • Return a compact application, flow, sequence, operation, and bot summary — the cheapest way to orient in a workspace. Read-only, no side effects. Deliberately omits variables and full flow graphs: use get_variable_context for variables, get_flow_context for a flow's topology, and get_application_context when you need flows, bots, and variables together.
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Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    Provides 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

  • Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.

  • Energy-Charts (Fraunhofer ISE) MCP — European electricity generation, prices, and capacity.

  • Get a context-optimized view of memories: full working memory, summaries for contextual, and keys only for longterm. Read-only. Use this to pack a prompt; use read_memory for one key, search_memory to filter, and get_memory_tree for parent-child task graphs. Pass playbook_id as the UUID or GUID of the playbook this call should target.
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  • Two players side by side: identity, account age, visibility, Steam bans, FACEIT and shared friends (compared over the full friend lists). HEAVIEST tool - it builds two summaries plus both friend graphs; for a single player prefer steam_summary.
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  • Find trends, signals, and expert insights across 100+ curated knowledge graphs covering retail, beauty, tech, food, travel, sports, and 30+ specialist domains. Returns trend data with cited evidence, source attribution, and lifecycle stage (emerging/building/mature/fading) — not generic web summaries. If graphId is omitted, searches ALL accessible graphs in parallel (recommended default). Use for market trends, competitor analysis, innovation signals, consumer behavior, cultural shifts, or any topic where curated expert intelligence outperforms web search.
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  • HARD NUMBERS only: specific figures, market sizes, growth rates, and quantitative data points across Fodda's knowledge graphs. Each result links back to the expert trend it supports. Use when a question asks for a number or statistic — try this BEFORE supplemental data tools, as Fodda's experts may have already curated the answer. For expert quotes, editorial analysis, and narrative interpretation, use search_insights instead. Works on ALL graphs — domain, expert, and report. Search multiple graphs for best coverage.
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  • Search memories by text, tags, tier, or type. Returns summaries for large memories. Use tags for categorical search; use tier to focus on active vs archived data; use memory_type to find task graphs. Read-only aside from returning matches; it does not write entries. Use read_memory for one key, get_memory_context for a compact tiered view, and get_memory_tree for parent-child task graphs. Pass playbook_id as the UUID or GUID of the playbook this call should target.
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  • Get full detail for a Tuki solution: description, who it is for, capabilities, status and contact / CTA. Use after `list_solutions` or when the user asks about a specific Tuki product (WhatsApp Booking OS, boutique ticketing, rental inventory software, event post-sale, tailor-made tourism software).
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  • Scores North Indian Ashtakoota (36-point Guna Milan) for two charts and returns koota breakdown, dosha flags, classical vetoes, mangal cross-check, and narrative guidance. WORKFLOW: BEFORE: RECOMMENDED — asterwise_get_natal_chart per person — understand charts before interpreting scores. AFTER: asterwise_get_papasamyam — optional malefic balance overlay. INPUT CONTRACT: Two BirthData objects follow the global contract (unknown midnight time accepted without flag). All scoring is computed upstream from those payloads. DO NOT CONFUSE WITH: asterwise_get_dashakoot — ten-point South Indian extension, not 36-point Ashtakoota. asterwise_get_porutham — Tamil ten-porutham pass/fail grid, different schema. Full output and error contract: https://docs.asterwise.com/mcp/tools/get-compatibility/
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  • Runs the Tamil ten-porutham checklist for two charts, counts passes out of ten, surfaces Rajju/Vedha classical condition booleans, and returns per-porutham evidence objects. WORKFLOW: BEFORE: RECOMMENDED — asterwise_get_natal_chart per native. AFTER: asterwise_get_thirumana_porutham — extended twelve-koota read if needed. INPUT CONTRACT: Two BirthData objects per global contract. DO NOT CONFUSE WITH: asterwise_get_thirumana_porutham — twelve poruthams including Nadi and Varna, not ten. asterwise_get_dashakoot — South Indian float scoring, not Tamil pass grid. Full output and error contract: https://docs.asterwise.com/mcp/tools/get-porutham/
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  • Midpoint composite chart for two people. Each composite planet is the midpoint of the two natal positions. Returns composite planets with dignities and internal aspects. WORKFLOW: BEFORE: asterwise_get_western_synastry — examine inter-chart aspects before composite. AFTER: None. INPUT CONTRACT: person1, person2 — WesternBirthData each. house_system ignored. DO NOT CONFUSE WITH: asterwise_get_western_synastry — two charts, inter-chart aspects vs composite (one midpoint chart). asterwise_get_western_compatibility — numeric score vs structural composite chart. Full output and error contract: https://docs.asterwise.com/mcp/tools/get-western-composite/
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  • Sign-to-sign compatibility without birth data. Based on element and modality affinity. Fast — no ephemeris calculation required. WORKFLOW: BEFORE: None — no birth data needed. AFTER: asterwise_get_western_compatibility — when full charts are available. INPUT CONTRACT: sign1, sign2 — English zodiac names (Aries … Pisces). DO NOT CONFUSE WITH: asterwise_get_western_compatibility — requires full birth data, more accurate. asterwise_get_western_synastry — aspect geometry between two full charts. Full output and error contract: https://docs.asterwise.com/mcp/tools/get-western-zodiac-compatibility/
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  • Query the user's HubSpot companies — the companies synced from the HubSpot portals they've connected. Use this for any question about their CRM companies: firmographics ('software companies with more than 100 employees'), lifecycle and pipeline ('companies with an open deal', 'how many customer accounts?'), location ('companies in Boston'), funding and size ('which companies raised money?', 'biggest companies by revenue'), or attribution. Answered by generating a read-only SQL query over the synced company table, so it returns columns and rows rather than prose — summarize the rows for the user, and say how many there were. If it reports no companies synced, tell them to run a company sync for their portal. Keep the question under 500 characters.
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  • Ask a free-form question about the user's LinkedIn connections that the other tools can't express: aggregates and rankings ('which companies do I know the most people at?'), date ranges ('who did I connect with in 2023?'), location filters ('my connections in Boston'), or several conditions at once ('founders in New York I connected with this year'). Answered by generating a read-only SQL query, so it returns columns and rows rather than prose. Prefer search_connections for a simple name/company/title lookup — it is faster. Keep the question under 500 characters.
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  • Get G2 software reviews. Returns ratings, pros, cons, use cases. Args: product: Software product name (e.g. 'Salesforce') max_results: Max reviews (default 20)
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  • 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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  • Search O*NET occupations by keyword. Returns a list of occupations matching the keyword with their SOC codes, titles, and relevance scores. Use the SOC code from results with other O*NET tools to get detailed information. Args: keyword: Search term (e.g. 'software developer', 'nurse', 'electrician'). limit: Maximum number of results to return (default 25).
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