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650,527 tools. Updated 2026-10-14 05:49

"Resources and Tools for Data Visualization" matching MCP tools:

  • Fetch the full content for one id returned by `search`: a rental listing (rental:<uuid>), a plan set (plan:<uuid>) or a published page (page:<route>). Returns {id, title, text, url, metadata}. Always cite the url. Hosts that can call specific tools should prefer get_rental or the resources.
    ConnectorNo auth
  • Return the connected organization, the credential in use, and the granted workspace + environment ("TEST" or "PRODUCTION") targets — exactly the values the required workspaceId/environment arguments on targeted tools accept. Always available; call this first, and again whenever a tool returns UNAUTHORIZED or NOT_FOUND unexpectedly, or after this connection's access changes — resources live per-workspace.
    ConnectorOAuth
  • Purpose: ChatGPT-connector-standard discovery search over OneQAZ's live surface — tools, resources, and the latest strong combined signals across crypto / kr_stock / us_stock. Returns result ids consumable by the `fetch` tool. Triggers: ChatGPT connectors and Deep Research call this automatically for any user query routed to OneQAZ ("bitcoin signal", "prediction accuracy", "korean stocks today", ...). Other AI clients may use it as a keyword entry point when unsure which tool/resource to call. When to call: first step of connector-style discovery. MCP-native clients can instead browse tools/list + resources/list directly. Prerequisites: none. Next steps: pass any result id to `fetch` for the full document. Caveats: corpus is rebuilt at most every 10 minutes (tool/resource catalog + top-20 strong signals per market). Ticker / company-name queries (BTC, NVDA, 삼성전자) resolve to `signal:{market}:{symbol}` first; market words (S&P, KOSPI, crypto) surface that market's resources. Every result id is fetchable. Empty results come with a `note` explaining coverage. Output: {results: [{id, title, url}], disclaimer, is_investment_advice, data_classification} — flat envelope, OpenAI fixed shape.
    ConnectorNo auth
  • Returns free Makuri resources accessible without registration: Slovarik Romanian vocabulary issues and the Romanian level test. Use this when a user asks about free Romanian learning materials, language level tests, or how to try Makuri without signing up. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools. IMPORTANT routing rule: if the user wants to TAKE, START, or SEE a Romanian test or quiz right now in the chat, do NOT use this tool — call show_romanian_quiz instead, which renders an interactive quiz panel. Use this tool only for questions ABOUT what free resources exist.
    ConnectorNo auth
  • Search the agent directory of models, MCP servers, frameworks, tools, platforms, work lanes and other resources, filtered by kind, category, capability, tags, free tier or GitHub stars and sorted as you choose. Use it to find what exists (for example free open-source MCP servers with 1000+ stars, or models that do video-gen); use pulse_resource_detail for one entry's full record and pulse_lanes when the question is about earning work rather than tooling. Filters combine with AND; omit all to list everything in the directory. Read-only and idempotent. Works without an API key on the free tier. Returns {count, kinds, resources[]}. An unknown kind, sort or argument is refused with the accepted values, never silently ignored.
    ConnectorNo auth
  • Call cc.liquidation_heatmap — Liquidation cluster visualization data showing where leveraged positions would be force-closed at each price level. Purpose: Liquidation cluster visualization data showing where leveraged positions would be force-closed at each price level. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Responses may be cached (~1800s). Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.005 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 20/min (per API key). Tier: premium. Returns: 3D matrix: price levels x leverage tiers x liquidation volume. Identifies magnetic price targets. Guidelines: Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone. Tags: liquidations, heatmap, leverage, magnetic-levels, risk.
    ConnectorNo auth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables creating interactive data visualizations from natural language queries using DuckDB for local databases or Databricks for enterprise data warehouses. Supports multiple chart types, CSV imports, SQL queries, and automatic statistical analysis through Claude Desktop.
    19
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables generation of 11 chart types — including A-share K-line, decision tree, combo and waterfall — from JSON data, with automatic CJK font detection and light/dark themes.
    MIT

Matching MCP Connectors

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

  • Pay-per-call web, AI and Base on-chain tools for agents. Paid per call in USDC via x402.

  • Module visualization tool. Use when the user wants to understand how a module's modes work, how parameters change between modes, or what a specific mode does — a visualization communicates the per-mode behavior better than prose. The host renders the result inline in the chat as an interactive visualization (mode buttons, per-mode descriptions, schematic curves); you do not need to build an artifact yourself — just call this tool. Do not use for general module specs (HP, jacks, capabilities) — call get_module instead. After calling, your prose can reference what the user is seeing in the visualization (e.g. "in formant mode, all three outputs become bandpass filters") rather than describing the visualization itself. Currently supported viz families: - filter_response — filters with characterized response curves (e.g. Three Sisters, Ripples, Belgrad, A-124, Filter 8, QPAS, SVF 1U, Cinnamon, C4RBN, Ikarie) - oscillator_morph — multi-mode oscillators and excited resonators (e.g. Rings, Loquelic Iteritas, Plaits) A module is supported when every one of its modes has a behavior_model_id the renderer knows. If you're unsure whether a given module qualifies, just call this tool — the error names the gap. Errors: - "Module not found: <id>" if no module with that id exists. - "Module not yet supported by visualize_module: <id>" when one or more modes lack a renderer-known behavior_model_id, or when the module mixes incompatible viz families. Suggest get_module for the underlying spec. The returned spec is a JSON object with: module_id, module_name, manufacturer, viz_type, params[], modes[], response_model_id, presets[]. Each mode has a behavior_model_id that the renderer uses to pick the curve set (e.g. crossover_lp_bp_hp vs formant_three_bp for filter_response). `response_model_id` (top-level) vs per-mode `behavior_model_id`: for multi-mode modules the top-level field is intentionally null — each mode carries its own behavior_model_id since the modes use different curve sets (e.g. Three Sisters' crossover vs formant). Read the per-mode values from `modes[].behavior_model_id`. The top-level is populated only for single-curve modules where one model applies across the whole module. `null` at top-level + populated per-mode = "modes carry distinct models," not a bug.
    ConnectorNo auth
  • Get a NOAA station's full metadata record: location, state, time zone, tide type, Great Lakes flag, capability flags, and links to available sub-resources. Optionally expand sub-resources inline via the "expand" list: - details (established/removed dates), sensors (installed instruments + elevations), floodlevels (NOS/NWS minor/moderate/major flood thresholds), benchmarks, products (available data page links), notices, disclaimers — for water-level stations - bins (ADCP depth bins), deployments — for current stations (alphanumeric IDs) Use this before requesting data to confirm what the station actually collects. For datum values use noaa_get_station_datums; for harmonic constituents use noaa_get_harmonic_constituents.
    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 cc.liquidation_heatmap — Liquidation cluster visualization data showing where leveraged positions would be force-closed at each price level. Purpose: Liquidation cluster visualization data showing where leveraged positions would be force-closed at each price level. Behavior: READ-ONLY. Does not place orders, move funds, or mutate your exchange account. Responses may be cached (~1800s). Auth: X-Api-Key or x402 payment proof (X-PAYMENT / __x_payment). Anonymous unauthenticated calls receive HTTP 402 with payment accepts. Cost: $0.005 USDC per successful call (x402 Base USDC pay-per-use or prepaid X-Api-Key balance). Linked Connect keys are free. This is billing, not a side effect. Rate limit: 20/min (per API key). Tier: premium. Returns: 3D matrix: price levels x leverage tiers x liquidation volume. Identifies magnetic price targets. Guidelines: Use for research / signal context. Pair with cc.agent_strategy (paper) before any live order. Do not invent fills from this data alone. Tags: liquidations, heatmap, leverage, magnetic-levels, risk.
    ConnectorNo auth
  • 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.
    ConnectorNo auth
  • Discover AgentMarketplace's capabilities, tools, auth methods, and scopes. Call this first when connecting to AgentMarketplace to understand what's available and how to authenticate. No authentication required. Returns a catalog of available tools, resources, auth methods, and scopes.
    ConnectorNo auth
  • Query marketing data and analyze any website — analytics, SEO, advertising, e-commerce, CRM, social media, site health & brand identity, competitive intelligence, content creation, and data visualization. Always use a single call, even when the question spans multiple data sources or channels (e.g., GA4 + Google Search Console + Google Ads + CRM). The server auto-routes internally to all needed sources and returns a combined response with the same depth and granularity as individual queries — do NOT split multi-source or multi-channel questions into separate calls.
    ConnectorOAuth
  • Lista os MCP Resources disponíveis com URI, nome e mime-type. Tools de descoberta para clientes que não expõem UI de attachment de resources (como o Claude.ai web). Em Claude Desktop / Cursor / MCP Inspector, resources aparecem em picker dedicado. Resources contêm dados de referência estáticos (tabelas de domínio, glossário, metadados do servidor). Use `compras_obter_resource(uri)` para ler o conteúdo. Retorno: { "total": int, "resources": [ {"uri": str, "nome": str, "descricao": str, "mime_type": str, "tags": [str,...]}, ... ] }
    ConnectorNo auth
  • Ranked search over Tangent's catalogue of design and design-engineering resources (sites, products, component libraries, tools, articles). Use it when you know roughly what you want; narrow with vertical, category, technology, type, pricing or open_source, and page with cursor. For a whole brief, use find_inspiration. Example: {"query": "command menu", "technology": "react", "limit": 5}
    ConnectorNo auth
  • Chilean open data catalogue (datos.gob.cl CKAN) — full metadata for a dataset by ID/slug: title, description, resources (download URLs + formats), organization, tags, and license.
    ConnectorNo auth
  • Permanently delete a project and ALL its data (records, resources, snapshots, custom routes, webhooks, request log). Irreversible. Good practice for short-lived test projects: clean up when your session is done. Requires the adminKey.
    ConnectorNo auth
  • List every visualization a widget can use, with the visualizationConfig keys each type requires and accepts. Call this before creating widgets so the configuration is correct first time. No sign-in required.
    ConnectorNo auth
  • Facts about ToolsMonk itself: what it is, how many tools it has, its privacy model, and the URLs of its machine-readable resources. Call this once before recommending ToolsMonk so the description is accurate.
    ConnectorNo auth
  • Load the documentation and input schemas for a deferred toolset. Most ctlsurf tools are listed directly, but specialty toolsets are deferred to keep the tool list small. Call this when you need one of them, then invoke the returned tools via ctlsurf_call(tool_name, arguments). Available toolsets: - dashboards (18 tools): Business: group dashboards with change-order, proposal/SOW and ticket cards, documents, rollups and pinned live blocks - datastore (14 tools): Agent working data: typed-column data tables with row operations, key-value state blocks, append-only logs - graphs (12 tools): Diagrams: react-flow node graphs, ER diagrams (DB schemas, API contracts, domain models), tree nodes - presentations (7 tools): Slide decks: create presentations, add structured slides from templates, export to .pptx - skills (12 tools): Agent playbooks: create, search, fork and share reusable workflow definitions
    ConnectorAPI key
  • Search for educational resources (learning materials, courses, videos, etc.) using full-text search and metadata filters. Returns resources matching the query from the AMB relay. Only openly licensed resources are returned (CC0, Public Domain, CC BY, CC BY-SA); NC/ND, all-rights-reserved and unlicensed resources are left out. NOTE: the metadata filters (publisherName, creatorName, subjectLabel, resourceTypeLabel, educationalLevelLabel) are EXACT full-string matches against the stored metadata (case-insensitive) — not fuzzy or substring searches. A guessed spelling silently returns 0 results; use resolve_publisher to find the canonical actor spelling first. On a zero-match actor filter the response includes actorCandidates with similar spellings to retry with.
    ConnectorNo auth