Retrieve complete metadata for a Flickr photo including title, description, tags, dates, visibility, and the Flickr page URL by providing its photo ID.
MIT
523,718 tools. Updated 2026-09-06 13:58
"Flickr" matching MCP tools:
- Permanently remove a photo from your Flickr photostream. This action is irreversible and requires a token with delete permission.MIT
- Find CC-licensed images across Flickr, Wikimedia, and museums; every result includes ready-to-paste attribution to use immediately.MIT
- Create a new Flickr album using an existing photo as the cover. Provide a title and the photo ID to get the new album ID.MIT
- Upload a local image to Flickr with configurable privacy, defaulting to private. Returns the new photo ID.MIT
- Get a list of top-level media libraries, such as Movies and TV Shows, to see what content is available.MIT
Matching MCP Servers
- AlicenseAqualityCmaintenanceEnables Claude to browse your Flickr photostream, retrieve direct image URLs, upload photos, and manage albums via the Model Context Protocol.12MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to access, tag, describe, and manage a Flickr photo library, including automated batch processing.83MIT
Matching MCP Connectors
Flickr keyless public photo feeds (recent, by tag, by user, by group)
- FlickerOAuth
Official hosted MCP server for Flicker (flicker.finance). Crypto, stock and FX market data (prices, screeners, funding rates, exchange stats, news), Flicker's published analysis zones and per-position assessments, plus the authenticated user's multi-exchange portfolio: positions, trades, balances and exchange connections, watchlist, alerts and notification preferences (watchlist/alerts/preferences are editable, everything else read-only). Does not place or manage trades. Streamable HTTP, OAuth r
- Verify your Flickr authentication and retrieve your user ID and username.MIT
- Remove an album from your Flickr photostream while keeping all its photos intact.MIT
- Update a Flickr photo's title and description. Automatically retains existing title when only description is provided.MIT
- Retrieve complete metadata for a Jellyfin library item using its ID. Get titles, genres, ratings, and more for any media item.MIT
- Check active playback sessions to see who is watching what and on which device, giving you a real-time view of your media server's current activity.MIT
- Retrieve your Flickr albums with their IDs, titles, photo counts, and primary photo IDs.MIT
- Retrieve all photos from a Flickr album, including each photo's ID, title, and a direct 1024px image URL for embedding.MIT
- Locate your Flickr photos by entering text or tags. Filter your photostream to find specific images.MIT
- Retrieve all available sizes for a Flickr photo, including direct URLs and dimensions, to find the correct embed URLs.MIT
- List the next unwatched episode for each show you follow in Jellyfin, allowing you to pick up exactly where you left off.MIT
- Locate any movie, show, or episode in your Jellyfin library by title. Get matching media items to find what you want to watch.MIT
- Add an existing photo to an album on Flickr.MIT
- Find arbitrage opportunities on Polymarket via monotonicity violations + partition-sum checks. Call with NO args for a `trending_scan` of the top ~200 markets by weekly volume; pass `event` for the strongest per-event partition_check, or `topic` for a themed cross-event scan. `event` (recommended for a specific market): pass a Polymarket event slug like "fed-decision-may-2026" or "when-will-bitcoin-hit-150k"; walks child markets, checks date-axis / threshold-axis ordering AND computes the partition_check (sum of YES prices across mutually-exclusive legs — should ≈1; deviations >3pp emit a BUY/SELL EVERY LEG signal). `topic` (for cross-event scanning): pass a seed question like "Strait of Hormuz traffic returns to normal" or "Fed rate decision"; searches related events across the platform, flattens markets, runs the comparator on the union. Cross-event mode catches "...by May 31" vs "...by Jun 30" patterns that single-event misses. SEMANTIC ANCHOR: cross-event pairs require ≥0.30 Jaccard similarity on question tokens (prevents Powell-Fed-Pause being paired with Powell-DOJ-probe); skipped_low_similarity surfaces the rejected pair count. PARTITION FILTER: drops will-person-X / will-manager-Y / will-someone-else- placeholder slugs; partitions with >20% placeholder fraction return null arb signal. Response: opportunities[] (gap_pp, suggested_trade, reasoning, monotonicity violation context), and in event mode partition_check{sum_yes_prices, gap_from_1, placeholders_filtered, suggested_trade}. FILL CHECK: when the partition signal fires, arbitrage.fill_check prices it against live CLOB depth (theoretical_edge_pp_at_book vs realizable_edge_pp at 1000 shares/leg, thin_legs[]) — realizable_edge_pp ≤ 0 means the overround exists only at last-trade, not in the book; do not trade it. For custom sizing use polymarket_fill_risk.ConnectorNo auth
- "Compare X and Y" / "X vs Y" / "X versus Y" / "which is bigger / better / larger / more profitable" / "rank these companies" / "head to head" — side-by-side comparison of 2–5 companies or drugs in ONE parallel call. ALWAYS PREFER over sequential single-pack lookups when comparing entities. type="company" pulls LATEST 10-K revenue + net income + cash + long-term debt from SEC EDGAR/XBRL (off-calendar fiscal years handled correctly — AAPL Sep, NVDA Jan, etc.). type="drug" pulls FAERS adverse-event counts, FDA approval counts, active trial counts. Results sorted by primary metric so "largest" / "most" / "biggest" reads off the top of the response. Returns paired data + pipeworx:// citation URIs per entity. Replaces 8–15 sequential lookups.ConnectorNo auth
- Realizable-vs-theoretical edge check against live CLOB order-book depth. REQUIRES one of `market` (single-market mode) or `event` (basket/partition mode). SINGLE-MARKET: pass a market slug/URL + side (buy_yes|sell_yes|buy_no|sell_no, default buy_yes) + size_usd (default 1000 — max spend on buys, target proceeds on sells); walks the ladder and returns top_of_book, vwap_fill_price, slippage_pp, shares_filled, max_fillable_usd, and a verdict (clean|degraded|cannot_fill). BASKET: pass an event slug/URL + side (sell_yes = capture overround by selling every leg, buy_yes = capture underround; default auto from partition sum) + size_usd interpreted as settlement notional S (shares per leg; each share pays $1); returns theoretical_sum vs realizable_sum (top-of-book vs VWAP across all legs), capture_ratio, profit_usd at executed size, per-leg fill detail, thin_legs[], max_clean_notional_usd, and forced_directional_risk naming the legs most likely to strand you unhedged. USE THIS before acting on any polymarket_arbitrage SELL/BUY-EVERY-LEG signal or any polymarket_edges trade above ~$500 — theoretical overround on thin books is not capturable, and partial basket fills convert an arb into an unhedged directional position (the dominant loss mode in real arb-bot P&L).ConnectorNo auth