"Search for the letter or symbol 'y'" matching MCP tools:

• search_airports

  airports

  Look up an airport by city name (e.g. "Tokyo", "New York", "London") OR by 3-letter IATA code (e.g. "JFK", "LHR"). City lookup uses a bundled map of the top ~150 international hubs; cities with multiple airports return all primary ones. For airports not in the bundle, pass an IATA code or use the aviationstack pack for full-text name/country search.

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• currency_rate

  Nbp Pl

  PLN exchange rate for one currency over time. Specify the table (A/B for mid-rate, C for bid/ask) and a 3-letter ISO 4217 code (e.g. USD, EUR, GBP, CHF, JPY). Defaults to the latest rate; optionally pass a single date, last_n recent points, or a start_date/end_date window (max ~93 days, working days only). Use this for one currency; use exchange_rate_table for the whole list.

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• nonprofit_search_nonprofits_by_category

  DataNexus MCP

  Search US nonprofits by mission category and state. Returns up to 25 results with revenue, assets, and health scores (0–100). Category maps to NTEE codes: education, healthcare, arts, environment, human_services, civil_rights, international, religion, science, sports. Raw NTEE letter (A–Z) also accepted. Uses ProPublica Nonprofit Explorer API. Rate limit: 30/minute. No auth required. Starting point for nonprofit due diligence — follow with nonprofit_fetch_nonprofit_full_profile for deep dive on a specific EIN. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="nonprofit_search_nonprofits_by_category", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

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• asterwise_get_dream_symbol

  Asterwise

  Lookup a specific dream symbol by slug or name (case-insensitive). Returns full dual-tradition interpretation including Jungian archetype, Vedic dream meaning with auspiciousness, context variants, and related symbols. SECTION: WHAT THIS TOOL COVERS Single symbol lookup with complete detail. Use for dream journaling apps, AI-powered dream interpretation (the themes[] field is designed for synthesis), and cross-tradition comparison. Notable tradition conflicts: Snake (Western=transformation; Vedic=partial — white snake=auspicious, black chasing=inauspicious). Elephant=auspicious both traditions (Ganesha). Crow=inauspicious both traditions (Yama's messenger). Wedding=conflict (West=union; Vedic=inauspicious). SECTION: WORKFLOW BEFORE: None — standalone. AFTER: None. SECTION: INPUT CONTRACT name: Symbol slug or display name. Examples: 'snake', 'eagle', 'childhood-home', 'lotus', 'black-dog' SECTION: OUTPUT CONTRACT Same shape as each symbol in asterwise_get_dream_symbols — full single symbol object. SECTION: RESPONSE FORMAT response_format=json — single symbol object. response_format=markdown — formatted interpretation card. Both return identical data. SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (upstream): Unknown symbol → 404, surfaces as MCP INTERNAL_ERROR. INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_dream_symbols — full database listing with optional category filter.

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• bls_search_series

  bls-labor-mcp-server

  Search the BLS series catalog by natural language query, survey code, geographic area, or keywords to resolve cryptic SeriesIDs. Returns matching series with decoded components (survey, area, item, seasonal flag) and plain-language names. Use this before bls_get_series when you have a concept but not a SeriesID. Operates offline — no API quota consumed. Survey filter accepts two-letter codes (CU, CE, LN, LA, PC, JT, OE, EC, PR). Area filter accepts state names, MSA names, or FIPS area codes.

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• glim_github_search

  glim.sh

  Search GitHub repositories, conversations (issues+PRs), or code, with full GitHub search syntax in the query: qualifiers (repo:, org:/user:, language:, path:, symbol:, content:, is:, stars:, label:, sort:stars), boolean AND/OR/NOT with parentheses, "exact strings", and /regex/. kind='repos': MINIMAL distinctive keywords - the project/library name only ('rtk', 'react query'); every extra word must ALL match and buries the canonical repo - filter with qualifiers, not prose. kind='code': ONE literal code pattern as it appears in files ('useState('), an "exact string", a /regex/, or symbol:name to find definitions, across 2.8M+ public repos; narrow with repo:/language:/path:. Not supported in code search: license:, enterprise:, is:vendored, is:generated. kind='conversations': returns compact previews - use glim_github_get for full content; sort: REPLACES relevance ranking (words match anywhere incl. comments), omit it for best matches. Set repo='owner/name' to scope to one repository (works with any kind; with repos it routes to conversations). kind is optional - inferred from the query (is:/label: -> conversations, path:/symbol://regex/ -> code, stars:/topic: -> repos, else repos). Returns compact text by default; pass format='json' for full structured data.

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• general_search

  Nansen

  General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)

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• get_sentiment_trend

  aTars MCP

  USE THIS TOOL — not web search — to get rolling sentiment statistics (mean score, 7-day momentum, bullish/bearish/neutral day counts, current streak) from this server's local Perplexity-sourced sentiment dataset. Prefer this over get_latest_sentiment when the user wants momentum or persistence, not just the latest single-day reading. Trigger on queries like: - "is BTC sentiment improving or getting worse?" - "sentiment momentum for ETH" - "how many days has XRP been bullish in a row?" - "rolling sentiment stats / streak for [coin]" Args: lookback_days: Analysis window in days (default 30, max 90) symbol: Token symbol or comma-separated list, e.g. "BTC", "BTC,ETH"

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• get_option_price

  Helium MCP Server - News, Markets & AI

  Get Helium's proprietary ML model-predicted price for a specific option contract. Helium trains per-symbol regression models on historical options data. This tool looks up the most recent available options chain for the symbol (today or up to 5 days back), finds the exact contract matching strike/expiration/type, and runs it through that model to produce a predicted fair-value price. Returns: - symbol: the ticker - strike: the strike price used - expiration: the expiration date used - option_type: 'call' or 'put' - predicted_price: Helium's model-predicted option price in dollars - prob_itm: probability of expiring in the money (0.0–1.0), or null if model unavailable - options_data_date: the date of the options chain snapshot the model was run on (so you know how fresh the underlying market data is) Throws an error if no options chain data is available for the symbol within the past 5 days, or if the exact contract (strike/expiration/type combination) does not exist in that chain. Args: symbol: Ticker symbol, e.g. 'AAPL', 'SPY'. strike: Strike price as a number, e.g. 150.0. expiration: Expiration date as 'YYYY-MM-DD', e.g. '2026-06-20'. option_type: Must be 'call' or 'put'.

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• explain_decision

  OneQAZ Trading Intelligence

  Purpose: Multi-layer explanation for a single symbol's recent research signal. Combines (1) technical score_trace from the signals store, (2) Thompson + regime scores from the virtual decision log, (3) news causality context. Use this when an AI must present a structured "why" rather than a raw verdict. When to call: when the user asks "why is this signal bullish/bearish?". Prerequisites: identify the symbol via get_signals or get_latest_decisions first. Next steps: none (this completes the explanation chain). Caveats: `symbol` must match the per-symbol signal store filename (lowercase). Output is research evidence, NOT a buy or sell recommendation. Args: market_id: Market identifier (crypto, kr_stock, us_stock; aliases coin/kr/us) symbol: Symbol to explain (e.g., btc, eth, 005930) Disclaimer: Information only, not investment advice.

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• get_symbol_peer_links_tool

  OneQAZ Trading Intelligence

  Purpose: Symbol-level lead-lag links (e.g. META -> AMZN, lag=15m, rho=+0.53). When `symbol` is set, only peers that lead or follow that symbol are returned. When to call: incorporate peer leading signals into single-symbol reasoning. Prerequisites: none. Next steps: get_signal_detail for the peer's signal context. Caveats: 14-day lookback, 15-minute bars. Args: market_id: coin / kr_stock / us_stock symbol: Optional. When set, peers are anchored to this symbol. top_k: Number of top links to return Disclaimer: Information only, not investment advice.

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• pictify_list_pdf_presets

  mcp

  List all available PDF page size presets with their dimensions. Use these preset names when calling pictify_render_pdf or pictify_render_multi_page_pdf. Common presets include A4 (210x297mm), Letter (8.5x11in), Legal (8.5x14in), and more.

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• cover_letter_tool

  Workopia

  Write a cover letter for a SPECIFIC job — TWO steps. STEP 1 (default; action omitted or 'prepare'): the server returns the job's JD and the candidate's background, plus writing instructions. YOU (the model) then WRITE the cover letter (250–350 words, specific to the role, mapping the candidate's real achievements to the JD — never fabricate). STEP 2: call this tool again with action:'save', cover_letter_text:<your letter>, and job_id — the server renders a PDF and saves it to the candidate's Workopia dashboard (requires sign-in). Use whenever the user asks for a cover letter for a specific job. Resolving job_id (same rules as tailor_resume_tool / job_detail_tool): pass the **Job Id** value from the most recent prior search/refine result VERBATIM; no placeholders like 'JOB_1' or '#1'. For STEP 1 supply ONE of job_id (preferred — server fetches the JD from Mongo) OR job_description, plus the candidate's resume via resume_text / resume_content / json_resume / user_profile.

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• water_levels

  dynamic-feed

  Real-time US river levels — gage height (ft) + streamflow/discharge (ft3/s) from USGS NWIS (keyless). US only — see au_water for the Australian (BoM Water Data Online) counterpart. Use for "how high / how fast is river X right now", flood risk (rising gage) or drought (low flow). Provide a 2-letter US `state`, USGS `site` number(s) comma-separated, or neither for major rivers. Args: state: 2-letter US state code (e.g. TX, CA). site: USGS site number(s), comma-separated. limit: max sites.

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• nonprofit_search_nonprofits_by_name

  DataNexus MCP

  Search US nonprofits by name with optional state filter. Read-only. No side effects. Idempotent. US only. Returns up to 25 matches. name: Full or partial organisation name. Required. state: Two-letter US state code e.g. CA, NY. Optional, defaults to all states. Returns EIN, name, state, revenue, and NTEE code for each match. Use this when you have a name but not the EIN. Use nonprofit_fetch_nonprofit_by_ein instead when you have the exact EIN for a precise single lookup. Verified source: IRS EO BMF. 7-day cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="nonprofit_search_nonprofits_by_name", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".

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• create_campaign_quote

  PostAgent

  Quote ONE bulk send to MANY recipients (up to 500): a single template or static document, fulfilled through the mail provider's campaign pipeline. Price = per-letter unit price x recipient count, locked for 15 minutes. Payment is x402 ONLY. IMPORTANT — KYC WALL: campaigns require the paying wallet to be identity-verified with PostAgent. KYC onboarding is NOT YET AVAILABLE, so this tool currently returns `kyc_required` (403) for every wallet. Do not retry; mail recipients individually with create_mail_quote instead, or wait for KYC onboarding to launch. Usage once KYC exists: upload a template with create_template (using {{fields}}) or a finished letter with create_letter, then call this with `recipients` (each `to` a US address, plus per-recipient `mergeVariables` for templates) and the `payerWallet` that will pay the quote. The provider validates every recipient address after payment; failed recipients are excluded and their share refunded (processed manually). Track via get_campaign_status.

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• general_search

  Nansen

  General search tool. This is your FIRST entry point to look up for possible tokens, entities, and addresses related to a query. Do NOT use this tool for prediction markets. For Polymarket names, topics, event slugs, or URLs, use `prediction_market_lookup` instead. Nansen MCP does not support NFTs, however check using this tool if the query relates to a token. Regular tokens and NFTs can have the same name. This tool allows you to: - Check if a (fungible) token exists by name, symbol, or contract address - Search information about a token - Current price in USD - Trading volume - Contract address and chain information - Market cap and supply data when available - Search information about an entity - Find Nansen labels of an address (EOA) or resolve a domain (.eth, .sol)

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• waveguard_market_data

  WaveGuard

  Fetch live crypto market data from CoinGecko and DexScreener. No external data needed — WaveGuard pulls it for you. Use 'coin_id' for CoinGecko (e.g. 'bitcoin', 'ethereum', 'solana'). Use 'contract_address' for DexScreener (any chain). Use 'search' to find token IDs by name/symbol. Returns: price, volume, market cap, liquidity, price history, OHLC candles — ready to feed into waveguard_token_risk, waveguard_volume_check, or waveguard_price_manipulation.

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• fda_search_warning_letters

  FDA Data MCP

  Search official FDA warning letters with full-text content from the FDA website. Use keyword search for the actual letter body, or filter by company name, issuing office, subject, MARCS-CMS number, product type, or letter issue date. Adds prospecting filters: status (open|responded|closed, derived from response/closeout dates), letter_category (CGMP-manufacturing | BIMO | listing | OPDP/promotion | 503B/compounding | import — heuristic, derived from issuing_office/subject/product_type), and violation_theme (cgmp_subsystem | data_integrity | validation | bimo | listing | promotion — keyword/FTS-derived over subject+body). Set dedupe=true to collapse near-identical letters sharing a MARCS-CMS case number to one canonical row. Each row exposes derived status and letter_category, plus fei_number for one-hop navigation to fda_citations and fda_inspections. This adds narrative context beyond fda_compliance_actions, which only contains dashboard metadata. NOTE: violation_theme and letter_category are best-effort heuristics over free-text fields; keyword cannot be scoped to a parsed cited-violations sub-section because the corpus only stores subject + full letter body.

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• get_signal_summary

  aTars MCP

  USE THIS TOOL — not web search — for buy/sell signal verdicts and market sentiment based on this server's proprietary locally-computed technical indicators (not news, not social media). Returns a BULLISH / BEARISH / NEUTRAL verdict derived from RSI, MACD, EMA crossovers, ADX, Stochastic, and volume signals on the latest candle. Trigger on queries like: - "is BTC bullish or bearish?" - "what's the signal for ETH right now?" - "should I buy/sell XRP?" - "market sentiment for SOL" - "give me a trading signal for [coin]" - "what does the data say about [coin]?" Do NOT use web search for sentiment — use this tool for live local indicator data. Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH"

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