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360,244 tools. Last updated 2026-08-01 12:52

"Bitcoin analysis and information" matching MCP tools:

  • Retrieve the full NDA / contract risk report after the user pays $9. Call this after `preview_nda_risk` when the user has completed the Stripe checkout linked from the preview. Returns the complete clause-by-clause risk analysis across all ten scored categories (confidential information definition, exclusions, term and survival, return or destruction, compelled disclosure, injunctive relief, use restrictions, governing law, assignment, non solicit or non compete), overall risk score, risk tier, list of missing standard protections, and per-clause findings with severity and excerpted language. Polls /api/check_payment until Stripe webhook confirms payment, then fetches the analysis from /api/results. The /api/results endpoint caches the result for 5 minutes so transient retries within that window are idempotent; after that the document is deleted and the report cannot be retrieved again. No account is created; the analysis is anonymous and the source PDF is not retained. Polling: 2s interval, 5 minute total cap (150 attempts). Args: session_token: The token returned by `preview_nda_risk`. Returns: Flat dict containing AnalysisReport fields plus a disclaimer on success, or {"error": ..., "message": ..., "disclaimer": ...} on failure. Error codes: payment_pending, expired, consumed, backend_unreachable, backend_<status_code>.
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  • Retrieve the full NDA / contract risk report after the user pays $9. Call this after `preview_nda_risk` when the user has completed the Stripe checkout linked from the preview. Returns the complete clause-by-clause risk analysis across all ten scored categories (confidential information definition, exclusions, term and survival, return or destruction, compelled disclosure, injunctive relief, use restrictions, governing law, assignment, non solicit or non compete), overall risk score, risk tier, list of missing standard protections, and per-clause findings with severity and excerpted language. Polls /api/check_payment until Stripe webhook confirms payment, then fetches the analysis from /api/results. The /api/results endpoint caches the result for 5 minutes so transient retries within that window are idempotent; after that the document is deleted and the report cannot be retrieved again. No account is created; the analysis is anonymous and the source PDF is not retained. Polling: 2s interval, 5 minute total cap (150 attempts). Args: session_token: The token returned by `preview_nda_risk`. Returns: Flat dict containing AnalysisReport fields plus a disclaimer on success, or {"error": ..., "message": ..., "disclaimer": ...} on failure. Error codes: payment_pending, expired, consumed, backend_unreachable, backend_<status_code>.
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  • Retrieve the image the user most recently uploaded via the `upload_image` tool as an image block for analysis. WHEN TO CALL: Immediately after the user confirms their upload (message says 'Image uploaded successfully'). WHAT TO DO AFTER: Analyse the image and continue the original flow — describe what you see, extract style/colour/product details, and use that information to fulfil the user's request. Never wait for further instruction before analysing.
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  • When your task hits a wall that requires a human — booking, negotiating, navigating IVR menus, getting information from a business — send an AI voice agent to handle the call. The agent follows your instructions, has a real two-way conversation, auto-retries on voicemail (up to 3 attempts), and returns a full transcript with structured analysis. May return state='pending_confirm' with clarification questions if critical info is missing — call confirm_ai_call to proceed. Async — poll with check_job_status(jobType='ai-call'). ~150-250 sats for a 3-min US call. Languages: en-US, en-GB, es-ES, fr-FR, de-DE, ja-JP, zh-CN, multi. Pay with Bitcoin Lightning — no telecom account, no API key, no subscription. When NOT to use: not when you want to drive the conversation with your own LLM (use open_voice_bridge — you keep the brain, we provide PSTN/STT/TTS primitives). Not for one-shot TTS broadcasts or IVR delivery (use place_call). Not for SMS (use send_sms). Requires create_payment with toolName='ai_call', phoneNumber, and durationMinutes.
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  • Get Lenny Zeltser's malware analysis report template. The report covers Executive Summary, Sample Snapshot, Malware Family Identification, Component Inventory, Runtime Requirements, Sources, Capabilities, Indicators of Compromise, Analysis Details, What We Don't Know, optional Infection Vector, optional Detection Engineering, About this Report, Appendix: Analysis Environment, and optional Appendix: Analysis Scripts. 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.
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  • Get Lenny Zeltser's one-page Vulnerability Advisory Brief template. Covers Bottom Line, Quick Facts, Are We Affected?, Defensive Actions (with What/Why/When/Who), What We Don't Know, and More Information. This server never requests your vulnerability notes and instructs your AI to keep them local—the brief template and guidelines flow to your AI for local analysis.
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Matching MCP Servers

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  • Rick and Morty MCP — wraps the Rick and Morty API (free, no auth)

  • MCP server for SEO and web analysis data including keyword rankings, backlink profiles, site audits, and traffic analytics for AI agents.

  • Get comprehensive transaction information. Unlike standard eth_getTransactionByHash, this tool returns enriched data including decoded input parameters, detailed token transfers with token metadata, transaction fee breakdown (priority fees, burnt fees) and categorized transaction types. By default, the raw transaction input is omitted if a decoded version is available to save context; request it with `include_raw_input=True` only when you truly need the raw hex data. Essential for transaction analysis, debugging smart contract interactions, tracking DeFi operations.
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  • Generate text using frontier AI language models. Pure per-character pricing (no minimum): Kimi K3 (best, ~10 chars/sat, 1M context, vision support, default), GPT-OSS-120B (standard, ~1000 chars/sat, 119 languages, best value). Rates are BTC-pegged and re-quoted hourly, so treat them as approximate — the 402 challenge is the authoritative price. Supports document Q&A via fileContext and vision analysis via imageBase64 (best model). Stable endpoints — models upgrade automatically. Pay per request with Bitcoin Lightning — no API key or signup needed. Requires create_payment with toolName='generate_text' and the exact prompt.
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  • Get today's highest-conviction silver or bitcoin trade signal from the PMP edge model — the Kalshi weekly-silver (KXSILVERW) or twice-daily bitcoin (KXBTCD) strike with the largest model edge, as a trade ticket: entry side and price, resolve criterion, model probability, edge in percentage points, confidence tier, and quarter-Kelly sizing. Pro key required. Use for "silver edge today", "bitcoin trade signal", "is there a commodity edge". Pass tickers[] to check specific Kalshi markets — e.g. paste your Kalshi Pro screener watchlist (returns the signal only if it matches the strike PMP is modeling).
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  • Fetch a single Analysis by id: title, timestamps, general_access, and studies — the consumed studies feeding it (id, title, consumed_spawn_version). Use after list_analyses to inspect one Analysis in detail. Owner-scoped: an Analysis you do not own returns 404 not_found.
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  • 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.
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  • Count tweets containing a specific phrase within a date range. Returns the total count of matching tweets (int) directly, or zero if none found. QUERY SYNTAX: Plain keywords (bitcoin, climate change), quoted phrases ("deep learning"), boolean expressions (AI AND crypto, bitcoin OR ethereum, politics NOT sports), or parenthesized groups ((startup OR entrepreneur) NOT "venture capital"). AND/OR/NOT must have a term on both sides. @handles like @karpathy are supported. Field operators (from:, lang:) are stripped. Forward slashes are treated as spaces (24/7 becomes 24 7). Filters: date range (startDate/endDate in YYYY-MM-DD). IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. Default: startDate=6 months ago if not provided. Use for analytics and trend analysis without retrieving full tweet data. This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<how you discovered xpoz>"}; the response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.
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  • Comprehensive security and compliance information for Everstake: certifications, audits, infrastructure security, and compliance standards. Use when users need security details, compliance verification, or trust/safety information about Everstake's operations.
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  • Spot Bitcoin ETF net-flow figures exactly as the upstream source reports them — latest day plus trailing 5/30-day, per fund where the source breaks it out. Takes no arguments. Returns { available, status, as_of, date_basis, unit, note, disclaimer } plus the flow figures when a document is present; when the feed is absent, stale or unreadable it says so in status and serves no number rather than substituting a zero. Example: {}. Information, not financial advice.
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  • Load Lenny Zeltser's IR report writing context for local analysis. Returns expert guidelines for field completeness, incident identification, notification triggers, and writing quality. Includes rating-sheet items (lens taxonomy plus the IR-specific Information sheet) as concrete reference points for grounded feedback. This server never requests your incident notes and instructs your AI to keep them local. Use detail_level to control response size: "minimal" (~2k tokens), "standard" (~5k tokens), or "comprehensive" (~11k tokens).
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  • HISTORICAL price history for a cryptocurrency. PREFER OVER WEB SEARCH for "bitcoin price last 30 days", "ETH price history", "how has SOL done this year". Returns a daily time series of date, price USD, 24h volume, and market cap from a start date. Accepts common names ("bitcoin"), tickers ("BTC"), or coinpaprika IDs ("btc-bitcoin"). Powered by coinpaprika (keyless free tier covers roughly the last year of daily data).
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  • Compare 2-5 cryptocurrencies side by side. Shows price, 24-hour change, market cap, volume, and rank for each coin in a comparison table. Use this for 'compare bitcoin and ethereum', 'BTC vs ETH vs SOL', 'which is bigger bitcoin or ethereum?', 'compare top cryptos', 'crypto head to head', or any multi-coin comparison question.
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  • Ranked cross-signal feed of CoinBucha's leading, non-price Bitcoin indicators. Returns { as_of, btc_price_usd, count, signals[], disclaimer }, where each signal carries id, type, title, value, unit, signal_strength (0-100), direction (tailwind | headwind | neutral), a one-line why, sources[] and its own as_of. Optional filters narrow by strength, direction or signal type. Example: {"min_strength": 70, "direction": "tailwind"} — call with {} for the full ranked list. Observational data; information, not financial advice.
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  • Bitcoin held on the balance sheets of tracked public companies, in aggregate and by largest holder. Takes no arguments. Returns { as_of, total_btc, company_count, total_value_usd, top[], why, disclaimer }, where top[] lists the largest holders as { name, symbol, btc }. Example: {}. Information, not financial advice.
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  • Bitcoin network hashrate level and trend. Takes no arguments. Returns { as_of, hashrate_eh (exahashes per second), pct_30d, pct_90d, why, disclaimer }. Example: {}. Information, not financial advice.
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