"SRG SSR" matching MCP tools:

• pipeworx_feedback

  Data Gov Sg

  Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.

  Connector

• bet_research

  Lens Org

  Research a Polymarket bet by pulling the relevant Pipeworx data for it in one call. Pass a market slug ("will-bitcoin-hit-150k-by-june-30-2026"), a polymarket.com URL, or a question text. The tool resolves the market, classifies the bet (crypto price / Fed rate / geopolitical / sports / corporate / drug approval / election / other), fans out to the right packs (e.g. crypto+fred+gdelt for a BTC bet, fred+bls for a Fed bet, gdelt+acled+comtrade for Strait of Hormuz), and returns an evidence packet plus a simple market-vs-model comparison so the caller can see where the implied probability disagrees with the data. Use for "should I bet on X?", "what does the data say about this Polymarket market?", or "is there edge in this bet?". This is the core demo product — agents that get bet-relevant context here convert better than ones that have to discover the packs themselves.

  Connector

• remember

  Data Gov Sg

  Save data the agent will need to reuse later — across this conversation or across sessions. Use when you discover something worth carrying forward (a resolved ticker, a target address, a user preference, a research subject) so you don't have to look it up again. Stored as a key-value pair scoped by your identifier. Authenticated users get persistent memory; anonymous sessions retain memory for 24 hours. Pair with recall to retrieve later, forget to delete.

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• ai_visibility_check

  Lens Org

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

  Connector

• densite_etablissements_sante

  france-data-mcp

  Densité d'établissements de santé pour 100 000 habitants au niveau **département** (`code_dept`) OU **commune** (`code_insee` / `nom_commune`, V0.20), par famille FINESS. Croise FINESS DREES (count) et INSEE Melodi (population municipale PMUN, recensement 2023). Exactement un des trois requis. Familles disponibles : `labo` (laboratoires de biologie médicale), `pharmacie`, `ehpad`, `mco` (court séjour médecine/chirurgie/obstétrique), `ssr` (soins de suite), `psychiatrie`, `dialyse`, `imagerie`, `had` (hospitalisation à domicile), `msp_cpts` (maisons de santé + CPTS), `handicap_enfants`, `handicap_adultes`, `addictologie`, `pmi`, `prevention_sante`, etc. Famille obligatoire — sans filtre, le ratio mélangerait labos / hôpitaux / EHPAD et n'aurait pas de sens. V0.20 — **sémantique conditionnelle de `code_dept`** : - `code_dept` seul = scope de calcul (densité département entier, comme avant) - `code_dept` combiné avec `nom_commune` = hint de résolution UNIQUEMENT (filtre les communes homonymes), le calcul reste sur la commune résolue Paris/Marseille/Lyon : la densité par `code_insee` est INDISPONIBLE (les FINESS portent l'INSEE arrondissement 75101-75120 etc. alors qu'INSEE n'expose la population qu'à la commune entière) — passer un code commune-mère (75056) ou arrondissement (75108) lève une RangeError explicite. Utiliser `code_dept` (75, 13, 69) pour la densité ville entière. `compare_national: true` ajoute la densité France entière (DOM inclus) + écart en %. Coût : 1 RPC count_finess + 1 appel Melodi (cacheable). Alias acceptés : `dept`/`departement` → `code_dept`, `codeInsee`/`insee` → `code_insee`.

  Connector

• pipeworx_trending

  Lens Org

  What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.

  Connector

• entity_profile

  Data Gov Sg

  Get everything about a company in one call. Use when a user asks "tell me about X", "give me a profile of Acme", "what do you know about Apple", "research Microsoft", "brief me on Tesla", or you'd otherwise need to call 10+ pack tools across SEC EDGAR, SEC XBRL, USPTO, news, and GLEIF. Returns recent SEC filings, latest revenue/net income/cash position fundamentals, USPTO patents matched by assignee, recent news mentions, and the LEI (legal entity identifier) — all with pipeworx:// citation URIs. Pass a ticker like "AAPL" or zero-padded CIK like "0000320193".

  Connector

• bet_research

  Data Gov Sg

  Research a Polymarket bet by pulling the relevant Pipeworx data for it in one call. Pass a market slug ("will-bitcoin-hit-150k-by-june-30-2026"), a polymarket.com URL, or a question text. The tool resolves the market, classifies the bet (crypto price / Fed rate / geopolitical / sports / corporate / drug approval / election / other), fans out to the right packs (e.g. crypto+fred+gdelt for a BTC bet, fred+bls for a Fed bet, gdelt+acled+comtrade for Strait of Hormuz), and returns an evidence packet plus a simple market-vs-model comparison so the caller can see where the implied probability disagrees with the data. Use for "should I bet on X?", "what does the data say about this Polymarket market?", or "is there edge in this bet?". This is the core demo product — agents that get bet-relevant context here convert better than ones that have to discover the packs themselves.

  Connector

• validate_claim

  Lens Org

  Fact-check, verify, validate, or confirm/refute a natural-language factual claim or statement against authoritative sources. Use when an agent needs to check whether something a user said is true ("Is it true that…?", "Was X really…?", "Verify the claim that…", "Validate this statement…"). v1 supports company-financial claims (revenue, net income, cash position for public US companies) via SEC EDGAR + XBRL. Returns a verdict (confirmed / approximately_correct / refuted / inconclusive / unsupported), extracted structured form, actual value with pipeworx:// citation, and percent delta. Replaces 4–6 sequential calls (NL parsing → entity resolution → data lookup → numeric comparison).

  Connector

• generate_llms_txt

  Data Gov Sg

  Generate a production-ready llms.txt file for any URL so AI crawlers (ChatGPT, Claude, Perplexity) can index the site cleanly. Fetches the page, extracts title/description/key links, and emits the standard llms.txt markdown format. Output is a single text blob ready to drop at site-root/llms.txt. Useful for: getting a client's site indexed by AI, drafting llms.txt for your own project, or auditing how an AI crawler would see a competitor.

  Connector

• pipeworx_feedback

  Lens Org

  Tell the Pipeworx team something is broken, missing, or needs to exist. Use when a tool returns wrong/stale data (bug), when a tool you wish existed isn't in the catalog (feature/data_gap), or when something worked surprisingly well (praise). Describe the issue in terms of Pipeworx tools/packs — don't paste the end-user's prompt. The team reads digests daily and signal directly affects roadmap. Rate-limited to 5 per identifier per day. Free; doesn't count against your tool-call quota.

  Connector

• polymarket_kalshi_spread

  Lens Org

  Cross-venue spread between Kalshi and Polymarket for the same resolving question. Kalshi and Polymarket frequently price the same event 2-25pp apart because the venues have different participant pools — that delta is a real arb signal. TWO MODES: (1) `topic` — pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope") that auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. Returns: each venue's leg-by-leg prices (in raw probability, 0-1), and where a leg from each side maps to the same outcome, the spread (Kalshi − Polymarket) in percentage points.

  Connector

• recall

  Data Gov Sg

  Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous IP, BYO key hash, or account ID). Pair with remember to save, forget to delete.

  Connector

• polymarket_arbitrage

  Data Gov Sg

  Find arbitrage opportunities on Polymarket by checking for monotonicity violations across related markets. TWO MODES: (1) `event` — pass a single Polymarket event slug; walks that event's child markets and checks ordering within it. (2) `topic` — pass a topic / seed question (e.g. "Strait of Hormuz traffic returns to normal"); the tool searches across separate events for related markets, groups them, then checks monotonicity. Cross-event mode catches the cases where Polymarket lists each cutoff as its own event ("…by May 31" is event A, "…by Jun 30" is event B — single-event mode misses the May≤June rule). Returns ranked opportunities with suggested trade direction + reasoning.

  Connector

• validate_claim

  Data Gov Sg

  Fact-check, verify, validate, or confirm/refute a natural-language factual claim or statement against authoritative sources. Use when an agent needs to check whether something a user said is true ("Is it true that…?", "Was X really…?", "Verify the claim that…", "Validate this statement…"). v1 supports company-financial claims (revenue, net income, cash position for public US companies) via SEC EDGAR + XBRL. Returns a verdict (confirmed / approximately_correct / refuted / inconclusive / unsupported), extracted structured form, actual value with pipeworx:// citation, and percent delta. Replaces 4–6 sequential calls (NL parsing → entity resolution → data lookup → numeric comparison).

  Connector

• polymarket_kalshi_spread

  Data Gov Sg

  Cross-venue spread between Kalshi and Polymarket for the same resolving question. Kalshi and Polymarket frequently price the same event 2-25pp apart because the venues have different participant pools — that delta is a real arb signal. TWO MODES: (1) `topic` — pre-mapped macro shortcuts ("fed", "btc", "cpi", "gdp", "sp500", "recession", "next_pope") that auto-fetch the matching event on each venue. (2) explicit `kalshi_event_ticker` + `polymarket_event_slug` for custom pairings. Returns: each venue's leg-by-leg prices (in raw probability, 0-1), and where a leg from each side maps to the same outcome, the spread (Kalshi − Polymarket) in percentage points.

  Connector

• recall

  Lens Org

  Retrieve a value previously saved via remember, or list all saved keys (omit the key argument). Use to look up context the agent stored earlier — the user's target ticker, an address, prior research notes — without re-deriving it from scratch. Scoped to your identifier (anonymous IP, BYO key hash, or account ID). Pair with remember to save, forget to delete.

  Connector

• org

  Fast.io

  Organization management: CRUD, billing, members, invitations, ownership transfer, assets, discovery, custom domains, AI instructions. Call action='describe' for the full action/param reference. Destructive: close (permanently deletes org and all data). Verbosity (detail param): list/discover-*/members/list-workspaces default to terse (compact rows). details defaults to full (drill-down). Pass an explicit detail='standard'|'full' to override.

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• compare_entities

  Lens Org

  Compare 2–5 companies (or drugs) side by side in one call. Use when a user says "compare X and Y", "X vs Y", "how do X, Y, Z stack up", "which is bigger", or wants tables/rankings of revenue / net income / cash / debt across companies — or adverse events / approvals / trials across drugs. type="company": pulls revenue, net income, cash, long-term debt from SEC EDGAR/XBRL for tickers like AAPL, MSFT, GOOGL. type="drug": pulls adverse-event report counts (FAERS), FDA approval counts, active trial counts. Returns paired data + pipeworx:// citation URIs. Replaces 8–15 sequential agent calls.

  Connector

• entity_profile

  Lens Org

  Get everything about a company in one call. Use when a user asks "tell me about X", "give me a profile of Acme", "what do you know about Apple", "research Microsoft", "brief me on Tesla", or you'd otherwise need to call 10+ pack tools across SEC EDGAR, SEC XBRL, USPTO, news, and GLEIF. Returns recent SEC filings, latest revenue/net income/cash position fundamentals, USPTO patents matched by assignee, recent news mentions, and the LEI (legal entity identifier) — all with pipeworx:// citation URIs. Pass a ticker like "AAPL" or zero-padded CIK like "0000320193".

  Connector