"Tools or methods for generating graphs from structured data" matching MCP tools:

• report_status

  Datalastic Vessel Tracking & Maritime Intelligence

  Check an async report job by report_id (from report_request or report_list). Returns its status: _PENDING_ or _IN_PROGRESS_ (still generating — wait a bit and check again) or _DONE_. When _DONE_, result_url is a download link for the result ZIP; hand it to the user. Links are time-limited — if one has expired, run report_status again for a fresh link. The server never downloads the file itself.

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• resolve_product

  Bikefuchs — Bike Parts Price Comparison

  Turn a product page URL from a supported shop into structured product data — EAN barcode, price, stock status, and a purchase link — so the EAN can then be used with get_best_price or optimize_cart. Multi-variant product families return a labeled candidate list (size/colour, price, EAN per variant): ask the user to pick a variant, then use that exact variant's EAN with the other tools.

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• submit_correction

  Namaste America

  Propose a correction to a listing field (agents/users reporting bad data). `vertical` is the category key (default 'restaurants'); `listing_id` is the id from that category's get_/search_ tools. Correctable restaurant fields: phone, email, website, menu_url, address_full, city, state, region_tag, price_range, cuisine_type, festival_specials. The correction is stored and applied by the Feedback agent — automatically for unclaimed listings, or routed to a human for claimed/featured ones. Identity fields (name, coordinates) are not correctable. Structured field corrections currently apply to restaurants; for other categories use submit_review to flag issues (or the owner portal). Returns {ok, feedback_id|error}.

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• scaffold_service

  @imqueue

  READ-ONLY: returns generated source code as text and writes nothing to disk, creates no project and runs no command. Generates an idiomatic @imqueue/rpc service (an IMQService subclass with @expose()d, JSDoc-typed methods) plus a bootstrap that starts it. Provide the methods you want, or omit them for a starter template. Any non-primitive parameter or return type also gets a types.ts with the required @classType()/@property() declarations — without those the generated client types it `any`, which compiles. Use create_service (local install only) if you want files actually written.

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• recommend_venue

  Prediction Market Friction Tracker

  Recommend which tracked prediction-market venue best fits a natural- language need, by weighing fee/KYC/withdrawal/API-access/jurisdiction data against what the query asks for. Free. Use this for comparative "which venue is best for X" questions -- e.g. "lowest fees for high-frequency trading", "I don't want to do KYC", "programmatic API access without a wallet", "fastest withdrawals". For a single already-known venue use get_venue instead; to browse/filter by confidence use list_venues. Based only on the structured fields this tracker collects (fees, KYC, geo restrictions, withdrawal methods/limits, API access, jurisdiction, custody model). It does NOT have liquidity, trading volume, spread, or uptime data -- if the query depends on those, the response says so rather than guessing. Args: query: free-text description of what matters (cost, KYC/privacy, withdrawal speed, API access, jurisdiction, custody, etc). Can combine multiple criteria in one query.

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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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• get_workspace_summary

  FlowCastle

  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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• 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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• 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.

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• get_land_quick_score

  AcreLens

  Get a fast suitability score (0-100) for a US property without generating a full report. Call this when the user wants a quick go/no-go assessment or an initial screening before committing to a full analysis. Returns a single score with confidence level and one-sentence rationale. Consumes a partial (0.25) analysis credit from your AcreLens account.

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• t54_list_operations

  Agentic Swarm Marketplace (T54 x402 MCP)

  Returns operationIds, HTTP methods, paths, and query parameter names from the bundled OpenAPI spec (no network). Use before t54_x402_request or per-SKU tools.

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• pictify_batch_render

  mcp

  Start a batch render job to generate multiple images from a single template — from inline variable sets, or from a hosted CSV where every row becomes a render. Each variable set produces a separate image. Supports up to 100 items per batch (plan-dependent). Common use cases: generating personalized social cards for all team members, product images for an entire catalog, event badges for all attendees, certificate images for course graduates, or marketing assets with localized content. WORKFLOW: 1) Use pictify_get_template_variables to discover variables, 2) Call this tool with an array of variable sets, 3) Use pictify_get_batch_results to poll for completion and get result URLs. The job runs asynchronously — this tool returns immediately with a batchId (HTTP 202). For generating a single multi-page PDF instead, use pictify_render_multi_page_pdf.

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• get_full_text

  Pubmed

  Fetch the FULL TEXT of a biomedical paper from PubMed Central (the open-access subset) by PubMed ID. PREFER OVER get_abstract when you need methods/results/discussion, not just the abstract — "read the full paper", "what methods did <PMID> use", "extract details from the paper". Resolves the PMID to its PMC id and returns the article body text (capped ~40k chars). Only open-access articles are in PMC — returns has_full_text:false (use get_abstract) otherwise.

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• deep_audit

  x402-data-gateway

  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.

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• document.extract_tables

  api

  Extract tables and forms as Markdown from a PDF or image (base64-encoded). Use when the document contains structured tabular data such as financial statements, data sheets, or forms. For plain prose documents, use document.extract_text instead. Returns: { pages: number, text: string } — text contains Markdown-formatted tables. Example prompts: - "Extract the tables from this financial statement." - "Pull the data table from this PDF into Markdown format." - "Get the tabular data from this form document."

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• get_catalog

  Backtest360

  Fetch one engine reference catalog. Catalogs (cheap, cacheable per session): - 'operators' — comparison operators for condition expressions - 'execution-modes' — entry/exit anchors and fill algorithms, with the validity matrix by market type - 'stop-types' — stop-loss types, re-entry modes, and their parameters - 'sizing-methods' — position-sizing methods and their parameters - 'bar-frequencies' — supported bar frequencies and the signal x execution validity matrix (which combinations are allowed) - 'sections' — the full metric catalog: every statistic's stable id, display label, section, and description - 'sampling-modes' — Monte-Carlo resampling modes, each with its status and parameters Fetch the relevant catalog BEFORE building a strategy or config; build only from values it lists — never guess parameter names or frequencies.

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• return_policy_generator

  Friday Seller Tools

  A deterministic assembler that turns your return window, shipping-payer choice, restocking fee, refund methods, conditions, and non-returnable items into ready-to-review policy copy for Amazon US, Walmart US, Shopify, or eBay US. PAID SKILL: $0.25 USD per call; this server never runs paid work for free, and calling this tool returns payment instructions only. Pay per call with x402 (POST https://friday-seller-tools-production.up.railway.app/v1/policies/return-policy and settle the 402 challenge in USDC) or buy with a card at https://friday-seller-tools-production.up.railway.app/buy?service=return_policy_generator. Free sample output: https://friday-seller-tools-production.up.railway.app/v1/examples/return_policy_generator.

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• list_payment_methods

  agentcard

  List the saved payment methods (used only to pay for flight bookings, not for cards or adding funds). Returns each method with its id, brand, last 4 digits, and expiry, and marks the default one. Use setup_payment_method to add a new one. The gated tools set_default_payment_method and remove_payment_method also exist; call them by name even though they aren't in the tools list.

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• run_panel_study

  Minds: Synthetic Market Research Panels

  **Call this tool only after the user explicitly confirms the exact draft revision returned by plan_panel_study.** This is the execution boundary. Never infer confirmation from silence, from the original request, or from your own suggested answer. If the user changes intent, source, questions, methods, or outputs, revise the draft with plan_panel_study first. Set advancedMethodOptIn only when the user explicitly chose the advanced method. The server reloads the stored draft, marks required capabilities reviewed, validates method versions/runners/configuration, and refuses unavailable methods. Treat list_research_methods and server validation as the availability authority; execute only methods reported with executable:true.

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• fetch_structured

  Agent Rescue

  Fetch a public URL and return its content as JSON validated against the schema you pass. Use it when you need data from a page and cannot parse it reliably yourself. Do not use it for URLs requiring authentication or a session, for internal networks, or when you already have the content — extract it yourself in that case. `extracted_by` tells you where the answer came from: `structured_data` when the page already published it (JSON-LD, OpenGraph, or a JSON body — exact and free) or `model` when it had to be extracted from the text. If structured extraction is unavailable, the response carries `degraded: true`, `data: null` and the page `text` for you to parse: check `degraded` before reading `data`.

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