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748,112 tools. Updated 2026-11-05 19:38

"How to use the eBay API to find recent sales prices" matching MCP tools:

  • Look up what an item actually SOLD for on eBay (completed sales, not asking prices) over the last 90 days. Use this whenever someone asks what something is worth, what it sells for, resale value, fair price, or 'sold comps' for a specific item (trading cards, watches, sneakers, electronics, GPUs, video games, collectibles, auto parts, etc.). Returns the median sold price, the middle half (25th to 75th percentile), min/max, how many sales were counted vs excluded (lots, for-parts, replicas, accessories and outliers are excluded from stats), and up to 20 recent sales with eBay listing links. Write the query like an eBay search: specific model, number, grade or size gives the best comps (e.g. 'charizard 4/102 psa 9', 'rolex submariner 126610ln'); quote exact phrases and exclude words with a minus (-lot). Cite the source URL in your answer. Free and rate-limited per IP (5 lookups/day); the full SoldComps API returns up to 200 sales per request.
    ConnectorNo auth
  • Get one PriceCharting product's prices and recent sales: current prices by condition or grade with their latest change, the full price guide (ungraded through BGS 10 for cards), attributes such as publisher, release date and card number, and recent completed eBay and TCGplayer sales per grade. Pass the product id, its pricecharting.com address, or console and slug. Use after pricecharting_search or pricecharting_console.
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  • Get one PriceCharting product's prices and recent sales: current prices by condition or grade with their latest change, the full price guide (ungraded through BGS 10 for cards), attributes such as publisher, release date and card number, and recent completed eBay and TCGplayer sales per grade. Pass the product id, its pricecharting.com address, or console and slug. Use after pricecharting_search or pricecharting_console.
    ConnectorNo auth
  • Get the concise API reference for the SoldComps API (GET /v1/sold): auth, parameters, response fields, how the median and exclusions work, errors, and rate limits. Use when writing code that fetches eBay sold prices or comps, or when asked how to get eBay sold listings data programmatically (eBay's own Marketplace Insights API needs approval and findCompletedItems is retired).
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  • Land Registry Price Paid transactions for a postcode, most recent first. Returns up to `limit` most recent transactions **within snapshot coverage** (`coverage_from`-`coverage_to` in the response's `provenance`). Unfiltered by default -- category-B bulk transfers and commercial sales are included. Pass `property_type` (F=flat, D=detached, S=semi, T=terraced, O=other) to restrict the result to a single type. **Not a complete property history.** Check `provenance.older_records_exist` and `provenance.sample_complete` before saying anything about what a property has or has not sold for. An empty result means "no sales within the stated coverage" -- never "never sold". For clean residential comparable sales, use `property_comps`.
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Matching MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    Enables users to turn any API's documentation into a tested MCP server whose tools expose the API's own operations, with linting, contract tests, and live verification. It accepts OpenAPI/Swagger, Postman, RAML, WSDL, GraphQL, RSS, and HTML docs.
    14
    20 PyPI
    Apache 2.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    Turns any OpenAPI REST or GraphQL API into an MCP server, allowing AI assistants like Claude to interact with APIs without writing code.
    9 npm
    MIT

Matching MCP Connectors

  • Video how-to search for AI agents: 2,000+ video skills, tutorials and FFmpeg recipes. No key.

  • Remote MCP server for converting PDFs and scanned documents to Markdown with OCR, and Markdown to PDF. Provides asynchronous conversion jobs, result retrieval, and usage checks; requires a PDF to MD API key.

  • Land Registry Price Paid transactions for a postcode, most recent first. Returns up to `limit` most recent transactions **within snapshot coverage** (`coverage_from`-`coverage_to` in the response's `provenance`). Unfiltered by default -- category-B bulk transfers and commercial sales are included. Pass `property_type` (F=flat, D=detached, S=semi, T=terraced, O=other) to restrict the result to a single type. **Not a complete property history.** Check `provenance.older_records_exist` and `provenance.sample_complete` before saying anything about what a property has or has not sold for. An empty result means "no sales within the stated coverage" -- never "never sold". For clean residential comparable sales, use `property_comps`.
    ConnectorNo auth
  • Live hostel and budget accommodation prices from Hostelworld for any city worldwide. USE FOR: - "What are the cheapest hostels in Paris next week?" - "Find dorm beds in Bangkok for 3 nights from July 10" - "Compare hostel prices in Ljubljana vs Belgrade" - Budget travel planning, accommodation cost context, backpacker routing RETURNS: Per-property dorm and private room prices per night, guest ratings, free cancellation flag, and summary stats (floor/avg/top price). CRITICAL INSTRUCTIONS FOR AGENT: - Always pass date as YYYY-MM-DD format. - currency defaults to EUR. - Use summary.floor for "cheapest" queries, summary.average for general cost context. - free_cancellation=true properties are preferable for uncertain itineraries.
    ConnectorNo auth
  • Find earlier windows IN THE SAME SERIES whose shape resembles the current price action and return the FULL distribution of what followed (win-rate, median, min, max, n) over a fixed forward horizon. Parameters: window = how many recent bars form the shape being matched (default 32); horizon = how many bars forward each match is measured over (default 20). WHEN: an agent wants the historical spread of outcomes after a similar-looking setup, including how wide and how uncertain that spread is. WHEN NOT: you want the current technical picture (use brief), you want to find candidates across the market (use scan), or you need one expected value — this deliberately returns a distribution, not a point estimate. NOT a prediction, NOT a backtest of a strategy; past distribution does not guarantee future results. Example: {"ticker":"ETH/USDT","timeframe":"1d"}. Impersonal data, not advice.
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  • List beauty products currently discounted in a market, largest discount first. Use when the user asks for current sales, offers or discounts, optionally within a category. discount_percent is calculated from each store's own previous list price (original_price), not from historical prices. Large percentages can be one-off clearance prices; get_price_history shows the actual price trajectory for a product. Prices exclude shipping. Args: country: Market - "se" (Sweden), "no" (Norway), "dk" (Denmark), "fi" (Finland). More markets may be added over time; get_service_info returns the current list. category: Optional filter: skincare, makeup, haircare, fragrance, nails, body, accessories. min_discount: Optional minimum discount percent (e.g. 30). Applied to the fetched top deals; the returned count reflects it, total_on_sale does not. limit: Maximum number of results (1-20).
    ConnectorNo auth
  • List all schemas of an API specification. Optionally include usage counts showing how many endpoints reference each schema. Set scope to 'project' to look across every spec in the project instead — that returns the groups of structurally identical schemas (candidates for the shared library) plus counts, not the full list, and specId is then ignored. Every entry carries the rowVersion update_schema needs, so a batch of updates does not need a get_schema per schema first. Use this to browse schemas or find a schema id; for one schema with its full definition use get_schema. Requires project context.
    ConnectorAPI key
  • List all API specifications in the active project. Set scope to 'org' to list the published APIs across every project in the organization instead — each entry carries the projectId and specId to pass to set_context. Use this to browse specs or find a spec id; for one spec by id use get_spec. Requires project context for scope 'project'.
    ConnectorAPI key
  • Before security-sensitive tooling or agent operations: find recent threads relevant to a task, with source links, provenance and matching keywords. Keyword overlap on title, tags and excerpt over the last 200 active threads; not semantic search and not the full archive (use search for that). Seeds excluded by default.
    ConnectorNo auth
  • Returns lunch orders already placed - items, menu date, status, and total - for the authenticated user's students, newest first (up to ~100 most recent). Filters combine with AND: student_id narrows to one student; menu_date and month narrow the date range, and if both are given menu_date wins. With no filters returns recent orders across all of the user's students. Admins (pac_cordinator, lunch_cordinator) see school-wide orders; parents only their own students. For what can be ordered (menu and prices), use get_lunch_menu.
    ConnectorOAuth
  • Monthly transaction VOLUME for a postcode district, postcode area or county — every registered sale, 1995 to present, oldest month first. Use this, not `market_facts`, for "how many sales" questions. `market_facts` reads the area_facts cube, whose count is a UPRN-matched sample that runs 17-66% short of the registry; this reads HMLR price paid directly. Conversely use `market_facts` for price/rent/yield by asset class and bedroom band, which this does not break down. Provide exactly one of district ("SW11", or a full postcode, which is truncated), area ("SW") or county ("GREATER LONDON"). `district` is a POSTCODE district, not a borough — "NW1", not "Camden". `start` and `end` are months: "2024-06" or "2024-06-01", either accepted. Metrics default to txn_count + median_price. Prices are category A only — a median including repossessions is not a market median. ALWAYS check `provisional_from` in the response before reading a trend: HM Land Registry registers sales months after completion, so the trailing months are incomplete and will rise. UK only. Free.
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  • Calculate RS3 resale-profit scenarios after seller tax. ESTIMATE ONLY; never places an order. Use get_item_details for current records/comparisons or lookup_item to resolve names. - itemId=4151 means Abyssal whip, not a quantity. quantity scales total investment, tax and profit without changing per-unit margin. - Omitting both prices gives identical buy/sell prices, usually a tax loss. Supply itemId and both prices to calculate without network access. - Seller tax is 2% of each unit's sell price, rounded down. Bonds and sales at 50 coins or less are exempt. - With quantity=20 and buyLimitRemaining=5, quota profit covers five units while requested totals still cover twenty. fillTimeMinutes converts full-request profit into an hourly rate, including assumed quota waits. Both inputs are caller assumptions, not observed limits or fill predictions. - Sampled prices lag live offers. Reads are uncached and require no credentials. HTTP defaults to 60 requests/IP/minute; wait for Retry-After after 429.
    ConnectorNo auth
  • Search 1,000+ vetted AI use cases by keyword, industry, or business workflow (e.g. 'invoice', 'dental', 'customer support'). Use when someone asks how AI can help their business, wants AI ideas for an industry, or looks for automation opportunities. Also use it to find the slug before get_agent_playbook or run_agent. Returns titles, summaries, and links. Public: no sign-in.
    ConnectorNo auth
  • Find where a feature lives in the Buzzberg interface. Read-only, no data is changed. Use this for every "where do I find X", "how do I open X", "which section has X" question instead of guessing. It searches only the verified navigation catalog of user-facing surfaces; internal, admin and API routes are deliberately not covered. If nothing matches, say the location is not confirmed rather than inventing one. Args: query: What the user is looking for, in their own words (any language). locale: UI locale for section names, e.g. "en", "ru", "ko". limit: Max matches to return (default 5).
    ConnectorOAuth
  • Monthly transaction VOLUME for a postcode district, postcode area or county — every registered sale, 1995 to present, oldest month first. Use this, not `market_facts`, for "how many sales" questions. `market_facts` reads the area_facts cube, whose count is a UPRN-matched sample that runs 17-66% short of the registry; this reads HMLR price paid directly. Conversely use `market_facts` for price/rent/yield by asset class and bedroom band, which this does not break down. Provide exactly one of district ("SW11", or a full postcode, which is truncated), area ("SW") or county ("GREATER LONDON"). `district` is a POSTCODE district, not a borough — "NW1", not "Camden". `start` and `end` are months: "2024-06" or "2024-06-01", either accepted. Metrics default to txn_count + median_price. Prices are category A only — a median including repossessions is not a market median. ALWAYS check `provisional_from` in the response before reading a trend: HM Land Registry registers sales months after completion, so the trailing months are incomplete and will rise. UK only. Free.
    ConnectorNo auth
  • Retrieve The Hill Kinabalu’s official public wedding venue and 2026/2027 package information, including capacity, event sizes, starting package prices, key inclusions, add-ons without prices, payment structures, and enquiry links. Use this when someone asks about weddings, wedding packages, the event venue, guest capacity, package pricing, or how to enquire. This tool does not check date availability or submit an enquiry.
    ConnectorNo auth
  • 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.
    ConnectorNo auth