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205,128 tools. Last updated 2026-06-15 11:12

"A resource for understanding Claude's context window and how it works" matching MCP tools:

  • Compute the Standardized Precipitation Index (McKee et al. 1993) at a cell: fit a gamma distribution to the same-window precipitation-accumulation history, then standardize the current accumulation to a z-score and map it to a drought class (extreme/severe/moderate drought … normal … wet). Supply `precip_history_mm` + `current_accumulation_mm` directly, or omit them to read the stored `weather.precipitation_mm` trajectory and build the window accumulations server-side. `window_days` selects SPI-1 (30 d), SPI-3 (90 d, default), SPI-12 (360 d), etc. When to use: Call when the user asks 'is this place in drought', 'how dry is it relative to normal', or wants a precipitation-anomaly z-score. The response is honest: when fewer than the WMO-recommended minimum samples exist it returns verdict=`inconclusive` with `spi:null` and a `honest_note` rather than fabricating a z-score from a handful of points. Quote the `spi`, `spi_class`, and `n_samples`. For raw precipitation use `emem_weather`; SPI is the standardized anomaly.
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  • Fact-check the published scholarly record via OpenAlex — METADATA ONLY, NO prices. `query` = free text/topic ("CRISPR gene editing") OR a DOI / doi.org URL for an exact-work lookup. `sort` = "relevance" (default) | "citations" | "newest" | "oldest". `limit` = max works (default 10, cap 25). Each work returns its citation count, open-access status + URL, publication venue + type, year/date, work type, lead authors (up to 5) + total author count + lead institution, references count, retraction flag, and the work's own OpenAlex record-update time. Spans 240M+ works across every publisher (journals, conferences, books, datasets, preprints), so it answers "does this paper exist / how cited is it / is it open access / where was it published / who wrote it" — which a training snapshot gets stale or hallucinates. DISTINCT from research_papers (arXiv preprints only, newest-first abstracts): different source (OpenAlex), cross-publisher, citation/OA/venue metadata — no abstracts, no full text. Source: OpenAlex (api.openalex.org, OurResearch), data is CC0 1.0 public domain; keyless (polite pool), ~6 h cache. HARD CONSTRAINT: every value is bibliometric metadata (a citation count, year, OA status, venue, author) — NEVER a market price, quote, or valuation.
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  • Returns a short-lived **V4-signed GCS URL** for a single SOURCE file (PDF / XLSM / XLSX / DOC / ZIP) the carrier submitted for a SERFF filing. The link is intended for **display to the end user** — they click it in their browser to download the file. **CRITICAL: DO NOT fetch this URL yourself.** Surface it to the user verbatim and stop. The URL is a signed link for the human's browser, not for the model. Fetching it pulls the entire source file (often tens of MB of PDF / XLSM) into your context window and serves no purpose the user did not already get from seeing the link. Pair with `list_filing_source_files` to discover the file names first, then call this to mint a link. When you respond to the user, include the URL **and the `expires_at` timestamp** so they know how long they have to click — after that the link returns 403 and they'll need to ask for a fresh one. Link properties: direct V4-signed GCS URL, expires after `ttl_seconds` (default 900 = 15 min, capped at 3600). Bypasses Cloud Run entirely. Intended for human clicks, NOT for the model to fetch. Whitelist is dynamic, keyed off the actual contents of the filing's source-files directory — same set `list_filing_source_files` advertises. `file_name` must be a basename (no slashes, no `..`) AND must appear in the listing. Returns `{ serff, file_name, url, expires_at, ttl_seconds, notice }`. The `notice` repeats the don't-fetch directive — include it in your response to the user too.
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  • Returns the canonical guide for using TMV from a coding-agent context. Covers the fix-test-retest loop, how to write a good test prompt, how to read the actionTrail / consoleErrors / failedRequests outputs, and common gotchas. Call this first if you're a new agent on a project — it'll save you a debug session. The same content is served at https://testmyvibes.com/docs/coding-agents.
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  • Quote the minimum unit price for a buy. Returns `{ minPrice }` (SUN per resource unit) from GraphQL `market.estimateMinPrice` for the given `resourceType`, `buyAmount`, and `durationSec`. Optional `address` scopes context when the API supports it. No login required; an optional session forwards auth like `tronsave_list_order_books`. Read-only and idempotent. FRESHNESS: live market data — `minPrice` can change roughly every 3 seconds; re-fetch right before placing an order and do not reuse a stale value. Pair with `tronsave_estimate_buy_resource` for full buy quotes and `tronsave_list_order_books` for depth buckets.
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  • Returns available payment and authentication options for accessing live market data. Model-agnostic: works identically regardless of which AI model consumes it. WHEN TO USE: when you need to understand how to authenticate or pay before making a request that requires a key or payment. Returns upgrade ladder: sandbox (200 calls free), x402 per-request ($0.001 USDC), x402 sandbox (10 credits for $0.001), credit packs ($5 = 1000 calls), builder subscription ($99/mo = 50K/day). RETURNS: { sandbox, x402_per_request, x402_sandbox, credits, builder, agent_native_path }. No authentication required. Always returns 200.
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Matching MCP Servers

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    Turn markdown into designed PDFs with cover page, table of contents, and code blocks that hold across pages. One command from Claude Desktop, Claude Code, Cursor, Cline, Zed, or any MCP-capable client.
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  • Stop re-explaining yourself to Agents. Give it the right context, right when needed.

  • MCP server for accessing curated awesome list documentation

  • Read a JavaScript value from the browser by property path. Walks a strict property path — NO expression evaluation, NO function calls, NO arbitrary code. Accepts identifiers, integer indices in brackets, and double-quoted string keys in brackets. Use this to read runtime state that isn't visible in the DOM: - Framework hydration: window.__NEXT_DATA__.props.pageProps - Redux/Zustand/etc stores (if exposed on window): window.__STORE__._currentState - Feature flags stashed on globals: window.APP.flags - Nested config: window["site-config"].features[0] EXPLORATION MODE: pass mode="keys" to get Object.keys() at the path instead of the value. Start with path="window" to discover globals, then drill in. This is how to find exposed state without guessing: get_js_value(path="window", mode="keys") -> ["document", "__NEXT_DATA__", "store", ...] get_js_value(path="window.store", mode="keys") -> ["_currentState", "subscribe", "dispatch", ...] get_js_value(path="window.store._currentState") -> the actual state object LIMITATIONS (intentional — security): - Cannot call functions. "store.getState()" fails. Expose the value as a readable property instead, e.g. window.__STORE__.state. - No arithmetic, comparisons, or expressions. - Path must start with an identifier and walk down via dots/brackets. Responses are cycle-safe, depth-capped, and size-capped. DOM nodes and React fiber trees are summarized rather than traversed. Args: key: Session key secret: Session secret from create_session path: Property path, e.g. "window.__NEXT_DATA__.props.pageProps" or 'window["site-config"].features[0]' or 'window.arr[0].name' mode: "value" (default) returns the serialized value; "keys" returns Object.keys() at the path max_depth: Max traversal depth when serializing (default 6, capped at 10) max_bytes: Max serialized size in bytes (default 20000, capped at 100000) Returns: {path, type, value, truncated, size_bytes} in value mode {path, mode, type, keys} in keys mode {error: "..."} on bad path / function / failure Requires a connected browser session and middleware v0.9.6+ (older middleware works — the relay doesn't care; the browser needs agent.js from relay.sncro.net which auto-updates).
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  • Live BGP routing health for a network resource — an ASN (e.g. "AS3215"), an IP ("8.8.8.8"), or a prefix ("193.0.0.0/22") — from RIPEstat (RIPE NCC's open routing-information service). Returns global visibility (how many of RIPE's route collectors currently see the resource) + an outage signal: healthy ≥0.9 · degraded ≥0.5 · outage <0.5. A sharp visibility drop = the network is losing global reachability. Use for "is network/ASN X reachable right now?". Pass `resource`.
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  • Read **text content** of an attached file. Works for: .txt, .md, .json, code files, and PDFs (after files.ingest extracts text). DO NOT call on binary files — for IMAGES use `files.get_base64`, for AUDIO/VIDEO it cannot be transcribed via this tool, and for non-PDF DOCUMENTS run `files.ingest` first, THEN files.read. Calling on a binary mime-type returns an error — saves you a turn to read the routing hint before deciding.
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  • Truncate text to at most N tokens (cl100k_base: ~4 chars/token) to avoid exceeding an LLM context window. Optionally keeps the end of the text instead of the start (useful for keeping recent conversation history). Reports whether truncation occurred and the estimated token count.
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  • Undo — revert, roll back, take back, or cancel the last — recent schedule/confirm_schedule creates or a write_events / delete_events batch, using the `undoToken`s they returned. Pass `tokens`. Each works only while still active and within its 30-minute window; a schedule/confirm_schedule token deletes the event it created, a write_events / delete_events token reverses the whole batch (deletes what it created, restores what it changed/removed), and a `batchUndoToken` from a multi-event schedule call removes the events that batch auto-created and voids its open proposals (times you confirm from proposals keep their own undo tokens). Returns per-token `results`.
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  • Read **text content** of an attached file. Works for: .txt, .md, .json, code files, and PDFs (after files.ingest extracts text). DO NOT call on binary files — for IMAGES use `files.get_base64`, for AUDIO/VIDEO it cannot be transcribed via this tool, and for non-PDF DOCUMENTS run `files.ingest` first, THEN files.read. Calling on a binary mime-type returns an error — saves you a turn to read the routing hint before deciding.
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  • Reference info: the per-MB rate for a specific country. Call ONLY if the user explicitly asks about price for their destination (e.g. «how much in Japan?»). DO NOT call this during purchase — the user does not need to pick a country to buy. The eSIM works in all 192; rates are reference info, not a purchase gate.
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  • Use this read-only tool to retrieve the SPECTRA historical field-map contract for one crypto public company ticker. It returns issuer-specific filing choreography and pressure-map context used by DeltaSignal report and visualization workflows. Parameters: ticker is required and must be one public-company symbol such as RIOT, MARA, COIN, MSTR, HUT, or CLSK. Behavior: read-only and idempotent; it performs one HTTPS read, has no destructive side effects, and does not write files, wallets, orders, or account state. Use it when the user asks for SPECTRA, field-map, historical pressure, filing choreography, or report-visualization context for a named issuer.
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  • Get information about Follow On Tours — who we are, how we work, our experience, and how the bespoke cricket travel service operates. Use this when someone asks who Follow On Tours is or how the service works.
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  • Call when the user asks about a full calendar year as a whole ("how is 2026", "今年怎么样", "what's next year like overall"). Returns year-level score, verdict, adverse alerts, and element dimensions. For month precision use `intentions_ask_month`; for day use `intentions_ask_day`. Window: currentYear-1 to currentYear+1 only.
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  • Onboarding tour for mrmarket.ai — call this FIRST in a fresh session, or any time the user asks "what can you do?" / "how does this work?". Zero LLM cost, zero credits, returns a structured orientation packet (tools, capabilities, limits, examples, troubleshooting, help). Default scope ('overview') covers everything in a short tour. Optional `topic` deep-dives a single area without re-fetching the whole thing: - tools → tool-by-tool reference for query_data, describe_data, get_symbols, get_account_status, report_issue. - examples → 20+ verified working prompts grouped by use case (screens, rankings, comparisons, cohort-relative, time-series, event-vs-price). - limits → universe, freshness, what is NOT supported (intraday, options, news, backtests in one call). - cost → credit model, which tools are free, how to read `credits_remaining`. - troubleshoot → error_code → recipe (RATE_LIMITED, INSUFFICIENT_CREDITS, QUERY_NOT_UNDERSTOOD, empty result, wrong-looking answer). - help → links + how to reach support; preferred channel is `report_issue`. Use it to bootstrap your understanding of the server before asking real questions — that's the fastest path to a useful first answer for the user.
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  • Get answers to frequently asked questions about Savvly. Use when the user has specific questions about how Savvly works, fees, withdrawals, or regulatory status. For richer, audience-specific Q&As (employee / advisor / broker / employer), use `search_savvly_content` instead.
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  • Onboarding tour for mrmarket.ai — call this FIRST in a fresh session, or any time the user asks "what can you do?" / "how does this work?". Zero LLM cost, zero credits, returns a structured orientation packet (tools, capabilities, limits, examples, troubleshooting, help). Default scope ('overview') covers everything in a short tour. Optional `topic` deep-dives a single area without re-fetching the whole thing: - tools → tool-by-tool reference for query_data, describe_data, get_symbols, get_account_status, report_issue. - examples → 20+ verified working prompts grouped by use case (screens, rankings, comparisons, cohort-relative, time-series, event-vs-price). - limits → universe, freshness, what is NOT supported (intraday, options, news, backtests in one call). - cost → credit model, which tools are free, how to read `credits_remaining`. - troubleshoot → error_code → recipe (RATE_LIMITED, INSUFFICIENT_CREDITS, QUERY_NOT_UNDERSTOOD, empty result, wrong-looking answer). - help → links + how to reach support; preferred channel is `report_issue`. Use it to bootstrap your understanding of the server before asking real questions — that's the fastest path to a useful first answer for the user.
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  • Live SPF DNS lookup — queries DNS in real time and returns the SPF record, DNS-lookup count, parsed include tree, TXT diagnostics, errors and warnings. Does NOT require a project — works for any domain, even ones not monitored. Use this to verify SPF configuration, diagnose "too many DNS lookups" issues, or check a domain before adding it to a project.
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