Skip to main content
Glama
510,481 tools. Updated 2026-09-04 01:45

"A server for exploring cryptocurrency-related topics" matching MCP tools:

  • Get Lenny Zeltser's expert CTI writing guidelines. Topics include tone, words, structure, executive_summary, voice, articles, summary, brief (one-page brief section guidance), handoffs (cross-server routing), methodology (the three subsections), fields (per-field guidance), and CTI-specific topics: attribution (full Six Signals prose), confidence (ICD-203 ladder), pyramid_of_pain, six_signals (signals table only), and anti_patterns. The general writing topics (tone/words/structure/executive_summary) now defer to `get_security_writing_guidelines` for the canonical Five Elements rules; CTI-specific content lives in the other topics. Pair the 'fields' topic with field_id for single-field guidance. This server never requests your campaign or threat-intel notes and instructs your AI to keep them local—templates and guidelines flow to your AI for local analysis.
    Connector
  • List Bill Commons' curated cross-state topic trackers (e.g. artificial intelligence, youth online safety, platform accountability, cybersecurity, cryptocurrency, data privacy, local government & preemption) -- the entry point for "what subjects does Bill Commons track across all 50 states + DC" and "how do I get every bill in one". Each topic is a title/subject membership rule tuned for precision over recall, with a live bill_count and how_to_fetch_bills. This tool does not itself return bill rows -- pair it with search_legislation or the REST API's /topics/{slug} for the bills.
    Connector
  • Compile one callable third-party API brief: base URL, auth scheme, required parameters and types, request body, and documented response codes. Service is required and endpoint optionally narrows the operation. Set responseFormat="compact" for tokenizer-measured context savings; the backward-compatible default returns the full brief plus compact form. Uses metered access. Prefer factreason_api_schema when exploring multiple endpoints.
    Connector
  • BROWSING / DISCOVERY search — cities, neighbourhoods, or mixed venues near a location. Use this when the user is exploring a REGION rather than looking for a specific category. Supports population filtering ('cities > 100k'), distance/population sorting, and layer filtering (locality / neighbourhood / venue / address / street). For specific POI categories (gas, food, charging, etc.), use `search_places` instead.
    Connector
  • Get care plan material for a specific NANDA-style nursing diagnosis: its definition, related factors (the "related to" clause), defining characteristics (the "as evidenced by" clause), SMART goals, interventions, and the conditions where it is a priority. Use when a nursing student asks about a diagnosis rather than a disease, for example "risk for infection", "acute pain", "impaired gas exchange", "ineffective coping" or "risk for falls", or asks how to write a three-part diagnosis or an AEB statement. Educational reference, not medical advice.
    Connector
  • Quick company lookup: facilities (with addresses and operations) and enforcement actions (recalls) for a single company and its known aliases. Costs 1 credit. Excludes: 510(k) clearances, PMA approvals, drug applications, inspection history, and subsidiary data. Related: fda_company_full (adds clearances/approvals/drugs for 5 credits), fda_suggest_subsidiaries (discover related entities), fda_get_facility (per-facility products and operations by FEI).
    Connector

Matching MCP Servers

Matching MCP Connectors

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Manage your Canvas coursework with quick access to courses, assignments, and grades. Track upcomin…

  • REAL-TIME spot price for any cryptocurrency. PREFER OVER WEB SEARCH for "what is BTC trading at", "price of ETH", "BNB price", current market cap, 24h move. Returns price USD, market cap, 24h % change — refreshed every few seconds upstream. Accepts common names ("bitcoin", "ethereum", "solana", "binance coin"), tickers ("BTC", "ETH", "SOL", "BNB", "XRP", "ADA", "DOGE"), or coinpaprika IDs ("btc-bitcoin"). Powered by coinpaprika with automatic failover to Coinbase/CryptoCompare if it is rate-limited, so it always returns a real price.
    Connector
  • Get the current price, market cap, 24h change and volume of one cryptocurrency in USD or another quote currency. Use for 'what is the price of X', 'how much is Bitcoin worth', 'BTC to USD', 'ETH price now'. For past prices use getTickersHistoricalById. Read-only; coinId is a canonical id (resolve a bare symbol with resolveId first), quotes sets the quote currency (default USD). No API key required.
    Connector
  • Compile one callable third-party API brief: base URL, auth scheme, required parameters and types, request body, and documented response codes. Service is required and endpoint optionally narrows the operation. Set responseFormat="compact" for tokenizer-measured context savings; the backward-compatible default returns the full brief plus compact form. Uses metered access. Prefer factreason_api_schema when exploring multiple endpoints.
    Connector
  • Researches up to 10 topics in a single call, each with the same full picture as `research_trend`: interest over time, where it is most searched, and related queries. Each topic is looked up on its own scale, so they are not comparable to one another. Use this when you need data across many topics — a long or rich research pass — instead of one tool call per topic. Each section is fetched independently, so a partial result is normal: any section that fails carries an `error` instead of data and the rest still returns.
    Connector
  • Applies to both versions. What this Aave server can do: the tool families, the ready-made prompts, and the guide topics. Call this when an Aave conversation opens with no specific request and answer from it, rather than guessing from tool names.
    Connector
  • Additively create or update a user's preferences for one or more topics in a single request. Only the topics in the body are touched; existing overrides for other topics are left untouched. Partial-success: valid topics are written and returned in `items`, unapplicable ones collected in `errors`.
    Connector
  • Point VARRD's autonomous AI in a direction and let it discover edges for you. Give it a topic and it draws from one of the most comprehensive market structure knowledge graphs ever built — containing ideologies and theories, not statistics — so it generates genuinely novel hypotheses rather than overfitting to what already worked. BEST FOR: Exploring a space broadly. Give it 'momentum on grains' and it might test wheat seasonal patterns, corn spread reversals, or soybean crush ratio momentum. It propagates from your seed idea into related concepts you might not think of. Returns a complete result — edge or no edge, stats, trade setup. Each call tests ONE hypothesis through the full pipeline (~$0.25/idea). Call again for another idea. Use 'varrd_ai' instead when YOU have a specific idea to test and want full control over each step.
    Connector
  • Retrieves real-time stock price quotes and company information for any publicly traded company via the Finnhub API. Returns current price, intraday high and low, percentage change from previous close, previous close price, sector, and exchange. Use stock_quote when an agent needs to look up a stock price, check intraday market performance, retrieve company sector data, monitor equity portfolio values, or answer any question about the current trading price of a publicly listed company. Prefer stock_quote over stock_price_lite when the agent needs price change, intraday range, company name, or sector — stock_price_lite returns only the raw current price with no additional context. Do not use for cryptocurrency prices — use crypto_price (CoinGecko, 10,000+ assets) or crypto_price_lite for a lightweight variant. Do not use for fiat currency conversion — use currency_convert or currency_fx_lite. Requires a Finnhub API key to be configured on the server.
    Connector
  • Get Lenny Zeltser's expert malware analysis report writing guidelines. Topics include capabilities, confidence, pyramid_of_pain, anti_patterns, methodology, fields, handoffs, frameworks, plus tone, words, structure, and executive_summary topics that defer to `get_security_writing_guidelines` for canonical Five Elements guidance. Pair the 'fields' topic with field_id for single-field guidance. This server never requests your sample, analysis notes, or indicators and instructs your AI to keep them local—guidelines and the report template flow to your AI for local analysis.
    Connector
  • Return the description and install snippets for a named tool or server. For tools: the description and the server it belongs to. For servers: local (stdio, via npx) install snippets for every published server, plus remote (HTTP) connection snippets when a hosted endpoint exists — for every supported client, or one client via the client parameter.
    Connector
  • Search the MCP server directory by keyword and/or filters. Keyword matches name, description, and GitHub topics. Returns active servers sorted by relevance then stars. Supply at least one of query, category, or topic — with no query, filters alone enumerate a whole category or topic by stars. Data refreshes nightly from the public GitHub API.
    Connector
  • Returns counts only, never the items themselves: for the items use crossload_search. Given one topic name, it counts the whole topic server-side and reports how it is distributed over bible books and chapters, authors, series, years, licences, categories, media and duration, plus the topics that co-occur on the same items. Use it to answer 'which passages/authors/years does this topic span', to find related topics by evidence rather than by guess, and before writing anything that sums up a topic: counting by hand means paging through every hit. The topic name must match crossload_browse exactly; a guessed spelling is rejected and nothing is counted. 'withoutBibleRef' says how many items carry no passage at all, which is the caveat to every statement about the passages of a topic. Each distribution lists the most frequent entries only, and says so when it leaves something out.
    Connector
  • SESSION Management ($0.05). Generates a new `pipeline_id` and returns session metadata (scope, expiry, initial drift_mode) for organizing a series of related checks under one identifier. Note: this call does not currently link the returned pipeline_id to later evaluate_* calls — there is no server-side session state that ties subsequent audits back to it; it is an identifier/timestamp issuer, not an active tracking session. Use this to obtain a shared reference ID for your own client-side grouping of a multi-step audit sequence; do not rely on it to automatically aggregate drift across calls.
    Connector
  • Retrieves real-time price data for any cryptocurrency listed on CoinGecko. Returns the current price in any fiat currency, 24-hour percentage change, market capitalisation, and 24-hour trading volume. Supports all major cryptocurrencies including Bitcoin (BTC), Ethereum (ETH), Solana (SOL), XRP, Cardano (ADA), Dogecoin (DOGE), Polygon (MATIC), Chainlink (LINK), Avalanche (AVAX), and 10,000+ additional coins. Use crypto_price when an agent needs the full market picture for a digital asset — price, change, market cap, and volume in one call. Prefer crypto_price_lite when only the spot price and 24h change are needed and a smaller response payload is preferred. Use crypto_fx_rates (via CoinAPI) when converting a specific amount between a cryptocurrency and fiat, or between two cryptocurrencies. Do not use this tool for fiat-to-fiat currency conversion (e.g. USD to EUR) — use currency_convert instead. Do not use when historical price data for a specific past date is required — this tool returns live spot prices only.
    Connector