"CBC" matching MCP tools:

• entity_profile

  Cbs Nl

  Get everything about a US public company in one call. Use when a user asks "tell me about X", "research Acme", "brief me on Tesla", or you'd otherwise call 10+ pack tools across SEC EDGAR, XBRL, USPTO, news, GLEIF. Returns: cik + company_name; recent_filings (up to 5 with pipeworx://edgar/company/{cik}/filings/{accession} URIs); fundamentals (LATEST 10-K Revenues + NetIncomeLoss + Cash, sorted period_end DESC — Run 6 fix landed real FY2025 numbers, not stale FY2022); patents (USPTO PatentsView API was sunset May 2025; pack soft-fails until reactivated); recent news mentions via GDELT→GNews fallback; LEI via GLEIF. Pass ticker "AAPL" or zero-padded CIK "0000320193" — names not supported (use resolve_entity first).

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• ai_visibility_check

  Cbs Nl

  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.

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• pipeworx_feedback

  Cbs Nl

  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.

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• get_report_detail

  CDC MMWR Reports

  Get the full abstract and metadata of an MMWR article by PubMed ID. Returns the complete abstract, authors, publication date, volume/issue, and any MeSH subject headings. Use PMIDs from search_mmwr or get_recent_reports results. Args: pmid: PubMed ID of the MMWR article (e.g. '38271059').

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• resolve_entity

  Cbs Nl

  Resolve a user-spoken name to the canonical/official identifiers other tools require as input. Use FIRST when you have a name but need an ID. SUPPORTED TYPES: "company" (returns ticker + 10-digit CIK + company_name from SEC EDGAR + pipeworx://edgar/company/{cik} citation URI; accepts ticker, CIK, or company name as input — auto-disambiguated), "drug" (returns RxCUI + ingredient + brand from RxNorm + pipeworx://rxnorm/{rxcui} citation; accepts brand or generic name). Each call cascades through several lookup endpoints internally — using resolve_entity replaces 2-3 manual lookups.

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• discover_tools

  Cbs Nl

  Find tools by describing the data or task. Use when you need to browse, search, look up, or discover what tools exist for: SEC filings, financials, revenue, profit, FDA drugs, adverse events, FRED economic data, Census demographics, BLS jobs/unemployment/inflation, ATTOM real estate, ClinicalTrials, USPTO patents, weather, news, crypto, stocks. Returns the top-N most relevant tools with names, descriptions, and full input schemas (with curated examples) — each result is ready to call directly, no second schema lookup needed. Call this FIRST when you have many tools available and want to see the option set (not just one answer).

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• compare_svi

  CDC Social Vulnerability Index

  Compare SVI data across multiple counties. Returns side-by-side SVI percentile rankings and key indicators for the specified counties. Useful for comparing vulnerability across service areas or peer counties. Args: fips_codes: Comma-separated 5-digit county FIPS codes (e.g. '53033,53053,53061'). year: SVI data year (default 2022, currently only 2022 available).

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• create_note

  Sweeppea MCP

  Create a new note. Content is encrypted (AES-256-CBC). HTML tags: h1-h6, p, a, br, strong, i, ul, ol, li. No scripts/iframes. Do NOT use <br>  between sections. # create_note ## When to use Create a new note. Content is encrypted (AES-256-CBC). HTML tags: h1-h6, p, a, br, strong, i, ul, ol, li. No scripts/iframes. Do NOT use <br>  between sections. ## Parameters to validate before calling - title (string, required) — Note title (max 100 characters, must be unique) - content (string, required) — Note content (max 100,000 characters, will be encrypted). Allowed HTML: <h1>-<h6>, <p>, <a>, <br>, <strong>, <i>, <ul>, <ol>, <li>. No scripts, iframes, or executable code. - pinned (boolean, optional) — Pin note to top of list (default: false) ## Notes - Content is encrypted with AES-256-CBC - Do NOT put sensitive data in the title field — titles are not encrypted - Allowed HTML tags in content: h1-h6, p, a, br, strong, i, ul, ol, li - Do NOT use <br>  between sections — relies on natural HTML block spacing

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• explain_optimization

  SCModeling

  Reference text on supply-chain network optimization — mixed-integer programming (MIP), the structure of decision variables and constraints, the objective function for landed-cost minimization, and the common problem classes (facility selection, sourcing, flow constraints, multi-period, BOM/production, multi-objective). Also covers when to reach for optimization vs simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does network optimization work' question. ChiAha's AMOS optimizer (open-source, Odin, GLOP/CBC via OR-Tools) powers the Tariff and Coffee Co-pack demos on the sandbox.

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• bet_research

  Cbs Nl

  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, fans out to category-specific data packs in parallel, and returns an evidence packet + simple market-vs-model comparison. Use for "should I bet on X", "what does the data say about Y", or "is there edge in Z". CLASSIFIERS: crypto_price, fed_rate, geopolitical, sports, sports_championship, drug_approval, election_candidate, tech_launch, space_launch, corporate, corporate_earnings, corporate_event, public_figure_speech, weather, other. FAN-OUT EXAMPLES: BTC bet → coingecko + fred + gdelt+gnews; Fed bet → fred + kalshi_macro + federal_register; Hormuz bet → imf_portwatch + airspace + gdelt; Yankees WS → mlb_stats_standings + parent_event partition + news; NVDA-vs-AAPL → finnhub get_quote + edgar shares-outstanding (derived market cap) + edgar filings + news. RESPONSE SHAPES: result.market carries best_bid/best_ask/spread_pp/liquidity/price_change_1h/1d/1w; result.analysis carries model_probability/edge_pp/kelly_fraction_half when a closed-form model fires; result.evidence is keyed by source. SAFETY: low-confidence resolutions short-circuit with status:"low_confidence_match" and suppress analysis fields so agents can't accidentally size on phantom matches. Closed/dead markets return status:"market_closed_or_inactive" and skip fan-out. Wide-spread markets (>10pp) carry tradeability:"illiquid_wide_spread" + an explanatory note.

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• remember

  Cbs Nl

  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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• recall

  Cbs Nl

  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.

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• get_course_curriculum

  BC Curriculum

  Get the complete BC curriculum for a specific course: Big Ideas, Curricular Competencies (grouped by domain), and Content/KDU items with elaborations. Returns the full three-column structure used by BC Ministry of Education. Args: - subject (string): Subject slug (e.g., 'adst', 'science') - grade (integer): Grade level (0=K, 1-12) - course (string, optional): Course slug (e.g., 'technology-explorations'). If omitted, returns all courses for that subject+grade. Returns: Complete three-column curriculum structure per course, including elaborations.

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• cdc_get_dataset_schema

  cdc-health-mcp-server

  Fetch the full column schema for a CDC dataset — names, data types, descriptions, row count, and last-updated timestamp. Get dataset IDs from cdc_discover_datasets.

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• polymarket_edges

  Cbs Nl

  Scan top Polymarket markets and return opportunities where Pipeworx data disagrees with market price. Built for "what should I bet on today" — agents discover opportunities without paging hundreds of markets. FIVE MODEL FAMILIES grouped into three response segments under by_segment: (1) MODEL_DRIVEN — crypto_price (lognormal barrier from 90d FRED log-returns) and news_momentum (GDELT 7d/21d article-volume ratio, soft signal w/ halved Kelly). (2) STRUCTURAL_ARBITRAGE — partition_overround on mutually-exclusive events; per-leg favorite-longshot bias correction with per-sport α (tennis 1.02, soccer 1.10, MMA 1.15, default 1.0); placeholder-slug filter drops will-person-X / will-team-Y / will-manager-Z / will-someone-else- backstops; partitions with >20% placeholder fraction skipped entirely. (3) CONCENTRATED_LONGSHOT — basket trade when one leg ≥85% AND ≥2 longshots ≤5% AND portfolio return ≥50:1; rare-by-design. EVERY OPPORTUNITY carries edge_pp_net (after slippage), kelly_fraction + kelly_fraction_half (capped at 0.25), market.liquidity, market.spread_pp, market.volume. TRADEABLE-EDGE KNOBS: min_liquidity / max_spread_pp drop opportunities where edge isn't realizable; min_partition_leg_kelly filters partitions by best per-leg Kelly. Cached 1h at the KV level keyed on all knobs. fed_rate bets are scanned but EXCLUDED from ranking (1m-T vs EFFR signal is unreliable at meeting-month horizons without paid OIS/SOFR-futures data); see fed_rate_context for raw spread.

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• forget

  Cbs Nl

  Delete a previously stored memory by key. Use when context is stale, the task is done, or you want to clear sensitive data the agent saved earlier. Pair with remember and recall.

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• recent_changes

  Cbs Nl

  What's new with a company in the last N days/months? Use for "what's happening with X", "updates on Y", "news on Apple this month", or change-monitoring. Fans out in parallel to: SEC EDGAR (filings since `since`), GDELT→GNews fallback (news mentions in window — GDELT preferred, GNews when rate-limited or 5xx), USPTO (patents granted; PatentsView API sunset May 2025 so this soft-fails until reactivated). `since` accepts ISO date ("2026-04-01") or relative shorthand ("7d", "30d", "3m", "1y"). Returns structured changes[] grouped by source + total_changes count + pipeworx:// citation URIs. Use entity_profile instead when you want the static profile (filings + fundamentals + LEI + patents) regardless of window.

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• get_data

  Cbs Nl

  Fetch observations from a table (TypedDataSet). Supports OData v3 query params. Use $select to pick columns (from table_dimensions keys) and $filter to subset, e.g. filter="Periods eq '2020JJ00'". Always set a $top to avoid huge responses.

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• generate_rsa

  CipherHUB Cryptography Toolkit

  [rsa] 生成 RSA 密钥对。 【参数】 - key_size：2048 / 3072 / 4096（位） - private_key_password：可选，设置后私钥 PEM 用 AES-256-CBC 加密保护 【输出】public_key_in_pem、private_key_in_pem、key_size。 【后续操作】公钥用于 rsa_encryption / rsa_verify，私钥用于 rsa_decryption / rsa_sign。

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• pipeworx_trending

  Cbs Nl

  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.

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