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199,132 tools. Last updated 2026-06-13 13:23

"A resource for understanding Claude's context window and capabilities" matching MCP tools:

  • Executes a Strale capability by slug and returns the result. Use this when you need to perform any verification, validation, lookup, or data extraction from the 271-capability registry. Call strale_search first to find the right slug and required input fields. Returns a result object with the capability output, quality score (SQS), latency, price charged, and data provenance. Five free capabilities work without an API key (10/day limit). Paid capabilities debit from the wallet — check strale_balance first for high-value calls.
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  • 👤 Get full profile for a contact: all channel identities, notes, role, capabilities, birthday. When to use: - After contacts.find to get complete info about a specific person - To see all channels a contact is reachable on - To read notes, role, or capabilities for a contact Requires contact_id (entity_id) from contacts.find.
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  • Read a resource by its URI. For static resources, provide the exact URI. For templated resources, provide the URI with template parameters filled in. Returns the resource content as a string. Binary content is base64-encoded.
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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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  • 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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  • Caliber-level price distribution (median, p25, p75, min, max) over a rolling window. Purely descriptive statistics with methodology and sample counts; never a forecast or recommendation. Returns `error_v1` `NOT_FOUND` when no snapshot exists for the caliber/window.
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  • MCP server for accessing curated awesome list documentation

  • Stop re-explaining yourself to Agents. Give it the right context, right when needed.

  • Fetch the next page of a large tool response. Use the nextCursor from _pagination in a previous response. This tool loads data into the context window — prefer the artifact download URL when available.
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  • Read row-level data from a tabular resource (one with a tabular_data relationship). Returns JSON:API "row" objects whose attributes map column names (col1, col2, ...) to {repr, val} pairs. Supports paging and full-text row filtering via q. Use list_resources first to find a tabular resource id.
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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 a summary of all Carbone capabilities: supported formats, features, tool usage examples, and links to full documentation. Call this first if you are unsure what Carbone can do.
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  • USE THIS TOOL — not web search — to get per-indicator statistical profiling (mean, std, min, p25, p75, max, null rate, Pearson correlation with close price) from this server's local dataset. Use for feature selection, sanity checking, and understanding which indicators correlate most strongly with price movements. Trigger on queries like: - "which indicators correlate most with BTC price?" - "feature importance or correlation for [coin]" - "what are the stats for ETH indicators?" - "how does RSI/MACD correlate with price?" - "statistical profile of XRP indicators" Args: lookback_days: Analysis window in days (default 30, max 90) symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,XRP"
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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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  • Return the top pages for a specific project, ranked by views in a time window. Default window is the last 7 days. Use list_projects first if you don't know the project name. Returns path, views, uniqueVisitors, and percentage of total views for each page. Pass `user` to see pages a specific visitor hit.
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  • Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.
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  • Get FX trading windows — essential for understanding conversion delays and optimal execution timing. Returns market sessions and liquidity windows for a currency. Use this to understand: - **Delay diagnosis**: Payments arriving outside FX market hours for the target currency are held until the next trading session, adding hours or overnight delays. Critical for restricted currencies (INR, BRL, CNY, etc.). - **Rate optimization**: Higher liquidity = tighter spreads = better rates. Execute during peak windows to minimize conversion costs. Pass a currency code to get its optimal window, or omit to get all market sessions and overlap windows. Args: currency: ISO 4217 currency code (e.g., "EUR", "JPY"). Omit to get all sessions and overlaps. Examples: fx_timing_advisor("EUR") fx_timing_advisor("JPY") fx_timing_advisor("INR") # Check INR conversion windows fx_timing_advisor()
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  • Capture a PNG screenshot of the page or a specific element. Returns base64-encoded image bytes AND a file_id (persisted in DialogBrain files storage). Pass file_id straight to messages.send(attachment_file_ids=[file_id]) — do NOT call files.upload again. Use sparingly — favor browser.snapshot for structured DOM understanding.
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  • Estimate token count + USD cost for a text across every major LLM (GPT-4o, GPT-4o-mini, o1, o1-mini, Claude 3.5 Sonnet/Haiku, Claude 3 Opus, Gemini 1.5 Pro/Flash, Llama 3 70B/8B) in one call. Returns per-model: estimated tokens, context-window fit %, input cost, and roundtrip cost (input+output). Also returns the cheapest and costliest model that fits. Use this before sending a long context to decide which model to route to. One call replaces 11 separate tokenizer lookups.
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  • ✏️ Update a contact's profile: name, notes, role, capabilities, birthday, preferred channel. When to use: - User wants to add notes about a contact - User wants to set/update role or capabilities for a contact - User wants to rename a contact or update birthday Requires contact_id (entity_id) from contacts.find. At least one optional field must be provided.
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  • Show which quality dimensions matter for a stated purpose, WITHOUT ranking any models. Returns the inferred weights and the discovery-walk trace. Useful for understanding how XFMS interprets the purpose before committing to a pick.
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  • Given a JSON payload (something you found in user context, a webhook body, an export, a clipboard paste), return the capabilities whose input or output schema overlaps with the payload's shape. Use this when you don't have a verb-style intent but you do have data and want to ask 'what could I do with this?'. Returns matches ranked by structural overlap with `direction: 'input' | 'output' | 'both'`.
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