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"An Immediate Mode GUI Library for Developing User Interfaces" matching MCP tools:

  • Update one or more fields in the already-open Profit Margin Calculator. ALWAYS call mg_calculator_profit_margin_state first — the user may have changed values manually in the GUI and you must not overwrite them. Pass the version you received from that call (or from the open tool if updating immediately after opening). Only pass the fields the user explicitly asked to change; omit all others. Send all changes in a single call — multiple sequential calls lose intermediate updates (only the last one applies).
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  • Get upto 25 (per page) top holders information for a specific token. **Note:** Using `labelType: smart_money` is not a good proxy for an overall market view. Use it only if user explicitly requests it, or to combine it with other non smart money data. **Modes:** - `onchain_tokens` (default): Analyze on-chain tokens by contract address - `perps`: Analyze Hyperliquid perpetual futures by symbol (chain auto-set to "hyperliquid") Columns returned (onchain_tokens mode): - **Address**: Wallet/contract address of the token holder - **Label**: Nansen label (e.g., exchange, whale, etc.) - **Balance**: Current balance held (numeric with K/M/B formatting) - **Balance USD**: USD value of token holdings (currency formatted) - **Ownership %**: Percentage of total token supply owned (percentage, 2 decimal places) - **Sent**: Total tokens sent from this address historically (numeric) - **Received**: Total tokens received by this address historically (numeric) - **24h Change**: Balance change in last 24 hours (numeric, can be negative) - **7d Change**: Balance change in last 7 days (numeric, can be negative) - **30d Change**: Balance change in last 30 days (numeric, can be negative) Columns returned (perps mode): - **Trader Address**: Address of the trader - **Trader Label**: Nansen label for the trader - **Side**: Position direction (Long/Short) - **Position Value USD**: Total USD value of the position (currency formatted) - **Position Size**: Size of the position in tokens (numeric) - **Leverage**: Leverage multiplier (e.g., "20X") - **Leverage Type**: Type of leverage (cross/isolated) - **Entry Price**: Average entry price (price formatted) - **Mark Price**: Current mark price (price formatted) - **Liquidation Price**: Liquidation price (price formatted) - **Funding USD**: Cumulative funding payments (currency formatted) - **Unrealized PnL USD**: Unrealized profit/loss (currency formatted) Sorting Options (default: holding_size desc): onchain_tokens mode: holding_size, total_outflow, total_inflow, balance_change_24h, balance_change_7d, balance_change_30d perps mode: holding_size, side, entry_price, leverage, liquidation_price, funding_usd, upnl_usd Examples: # On-chain tokens (default mode) ``` { "mode": "onchain_tokens", "chain": "ethereum", "token_address": "0xa0b86a33e6b6c4b3add000b44b3a1234567890ab", "label_type": "top_100_holders" } ``` # Hyperliquid perpetual futures ``` { "mode": "perps", "token_address": "PENGU", "label_type": "smart_money" } ``` # Find most active senders using filters ``` { "mode": "onchain_tokens", "chain": "ethereum", "token_address": "0xa0b86a33e6b6c4b3add000b44b3a1234567890ab", "label_type": "smart_money", "includeSmartMoneyLabels": ["All Time Smart Trader", "Fund"], "order_by": "total_outflow", "order_by_direction": "desc" } ``` # Find biggest accumulators (who received most tokens) ``` { "mode": "onchain_tokens", "chain": "ethereum", "token_address": "0xa0b86a33e6b6c4b3add000b44b3a1234567890ab", "label_type": "whale", "order_by": "total_inflow", "order_by_direction": "desc" } ``` # Perps mode with filters ``` { "mode": "perps", "token_address": "ETH", "label_type": "smart_money", "side": "Long", "upnlUsd": {"from": 10000}, "positionValueUsd": {"from": 100000}, "order_by": "holding_size", "order_by_direction": "desc" } ``` **Restrictions exclusively when querying for native tokens (ETH, BNB, etc.):** - Only supports sorting by `order_by='holding_size'` (others will fail) - With `label_type='top_100_holders'`: limited filters (holding_size, total_outflow, total_inflow, address, smart money labels) - For advanced filters, use different`label_type` or set `aggregate_by_entity=true` **orderBy Restrictions (use 'holding_size' to avoid API errors):** - Token address: 0xa0b86a33e6b6c4b3add000b44b3a1234567890ab **Does not** work for SOL in onchain_tokens mode (tokenAddress So11111111111111111111111111111111111111112). For SOL analysis, use perps mode instead.
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  • Update one or more fields in the already-open Profit Margin Calculator. ALWAYS call mg_calculator_profit_margin_state first — the user may have changed values manually in the GUI and you must not overwrite them. Pass the version you received from that call (or from the open tool if updating immediately after opening). Only pass the fields the user explicitly asked to change; omit all others. Send all changes in a single call — multiple sequential calls lose intermediate updates (only the last one applies).
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  • Generates a browser login URL for the specified provider (SAINT, LMS, or LIBRARY). Use this tool when a private tool returns AUTH_REQUIRED. Steps: 1) Call this tool to get loginUrl and mcpSessionId. 2) Show the user: 'Please open this link to log in: [loginUrl]'. 3) Wait for the user to confirm login is complete. 4) Retry the original private tool call with mcp_session_id=[mcpSessionId]. Creates a new MCP session if mcp_session_id is not provided.
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  • Update one or more fields in the already-open Market Cap Calculator. ALWAYS call mg_calculator_market_cap_state first — the user may have changed values manually in the GUI and you must not overwrite them. Pass the version you received from that call (or from the open tool if updating immediately after opening). Only pass the fields the user explicitly asked to change; omit all others. Send all changes in a single call — multiple sequential calls lose intermediate updates (only the last one applies).
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  • Retrieve a time series showing when news coverage of a topic spiked, or how average tone shifted over time. Use mode "volume" for normalized coverage intensity (% of all global coverage per timestep). Use mode "volume_with_articles" for the same signal plus the top articles that drove each spike — this is the primary signal-detection mode: a single call reveals both the spike and its cause, avoiding a follow-up gdelt_search_articles call. Use mode "tone" for average sentiment score per timestep (negative = hostile/fearful, positive = celebratory). Date resolution is automatically chosen based on timespan: hours for short windows, days for longer ones. Note: DOC API covers only the last 3 months.
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    An MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programming languages and authenticated CLIs.
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  • Retrieve pre-synthesized per-session memory dossiers (typed: experience | fact | preference; with When/Involving/To-purpose metadata). Use for multi-session or preference-style questions where stitching across conversations is the bottleneck — the dossier already summarises each session's key events. Two modes: mode='search' with a query (BM25-ish ranking over summary+purpose, optional type_filter), or mode='list' returns the tenant's most-recent dossiers chronologically. Tenants without FEATURE_SESSION_DOSSIERS enabled return an empty list (no error).
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  • WRITE to the Knowledge Base. This tool has TWO modes: **MODE 1 — SAVE a new card**: Provide `content` with full Markdown following the ACTIONABLE schema below. **MODE 2 — REPORT OUTCOME**: Provide `kb_id` + `outcome` ('success' or 'failure'). WHEN TO USE: - Mode 1: After successfully fixing a bug IF no existing KB card covered it. - Mode 2: ALWAYS after applying a solution from `read_kb_doc` and running verification. INPUT: - `content`: (Mode 1) Full Markdown KB card content — follow the EXACT template below. - `overwrite`: (Mode 1) Set to True to update an existing card. - `kb_id`: (Mode 2) ID of the card to report outcome for. - `outcome`: (Mode 2) 'success' or 'failure'. - `enrichment`: (Mode 2, optional) Additional context to merge into the card when outcome is 'failure'. ━━━ CARD TEMPLATE (Mode 1) — copy this structure EXACTLY ━━━ ``` --- kb_id: "[PLATFORM]_[CATEGORY]_[NUMBER]" # e.g. WIN_TERM_001, CROSS_DOCKER_002 title: "[Short Title — max 5 words]" category: "[terminal|devops|supabase|fastmcp|network|database|...]" platform: "[windows|linux|macos|cross-platform]" technologies: [tech1, tech2] complexity: [1-10] criticality: "[low|medium|high|critical]" created: "[YYYY-MM-DD]" tags: [tag1, tag2, tag3] related_kb: [] --- # [Short Title — max 5 words] > **TL;DR**: [One sentence — what's the problem + solution] > **Fix Time**: ~[X min] | **Platform**: [Windows/Linux/macOS/All] --- ## 🔍 This Is Your Problem If: - [ ] [Symptom 1 — specific symptom or error message] - [ ] [Symptom 2 — specific error code or log line] - [ ] [Symptom 3 — environment/version condition] **Where to Check**: [console / logs / env / task manager / etc.] --- ## ✅ SOLUTION (copy-paste) ### 🎯 Integration Pattern: [Global Scope] / [Inside Init] / [Event Handler] ```[language] # [One-line comment — what this code does] [depersonalized code WITHOUT specific paths, use __VAR__ for things to replace] ``` ### ⚡ Critical (won't work without this): - ✓ **[Critical Point 1]** — [why it's essential] - ✓ **[Critical Point 2]** — [common mistake to avoid] ### 📌 Versions: - **Works**: [OS/library versions where confirmed working] - **Doesn't Work**: [OS/library versions where known broken] --- ## ✔️ Verification (<30 sec) ```bash [single command to verify the fix worked] ``` **Expected**: ✓ [Specific output or behavior that confirms success] **If it didn't work** → see Fallback below ⤵ --- ## 🔄 Fallback (if main solution failed) ### Option 1: [approach name] ```bash [command] ``` **When**: [condition to use this option] | **Risks**: [what might break] ### Option 2: [alternative approach] ```bash [command] ``` **When**: [condition] | **Risks**: [what might break] --- ## 💡 Context (optional) **Root Cause**: [1 sentence — why this problem occurs] **Side Effects**: [what might change after applying the fix] **Best Practice**: [how to avoid this in future — 1 point] **Anti-Pattern**: ✗ [what NOT to do — common mistake] --- **Applicable**: [OS, library versions, conditions] **Frequency**: [rare / common / very common] ``` ━━━ END OF TEMPLATE ━━━ RULES for ACTIONABLE cards: 1. Solution FIRST — after diagnosis, code immediately 2. Depersonalize — no names, project names, or absolute paths 3. Use `__VAR__` markers for anything the user must replace 4. One Verification command, result visible in <30 sec 5. Fallback — 1-2 options max, always include When/Risks 6. Context at End — WHY is optional reading for curious agents
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  • Get comprehensive portfolio overview for a wallet address or entity. Hyperliquid perpetual positions include liquidation prices to support risk analysis workflows. For wallet addresses, supports different modes: - 'fast-mode-default': Wallet balances + Hyperliquid positions (skip defi, for fast mode only) - 'all': Wallet balances + DeFi positions + Hyperliquid positions - 'wallet_balances': Only token balances (tokens and native coins across all chains) - 'defi': Only DeFi positions (lending, staking, LP tokens, etc., excluding Hyperliquid) - 'hyperliquid': Only Hyperliquid positions (perps include liquidation price, plus spot, staking, vault, free tokens) For entities (e.g., "Binance", "Paradigm Fund"), only on-chain token balances are returned, aggregated across all addresses associated with the entity. This tool provides flexible portfolio analysis in a single request, allowing users to focus on specific aspects of their holdings. The output is pre-formatted markdown that should be presented exactly as returned, preserving all tables, sections, and formatting without reinterpretation. Example Usage: Get full comprehensive portfolio for a wallet: ``` { "walletAddress": "0x28c6c06298d514db089934071355e5743bf21d60", "mode": "all" } ``` Get only DeFi positions (returns raw JSON): ``` { "walletAddress": "0x28c6c06298d514db089934071355e5743bf21d60", "mode": "defi" } ``` Get only Hyperliquid positions (returns raw JSON): ``` { "walletAddress": "0x28c6c06298d514db089934071355e5743bf21d60", "mode": "hyperliquid" } ``` Get token balances for an entity: ``` { "entity_id": "Binance" } ```
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  • Calculate percentages three ways: what's X% of Y, what % is X of Y, and what's the % change from X to Y. Use mode='of' for the first form, mode='ratio' for the second, mode='change' for the third.
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  • Evaluate a formula expression against an actual Dock workspace's columns + rows, server-side, returning the same display value the UI's HyperFormula engine would render. Two modes: STANDALONE (omit `workspace_slug`) — evaluates against an empty grid; useful for `=SUM(1, 2, 3)` or any formula with no cell references. IN-WORKSPACE (pass `workspace_slug`, optionally `at`) — loads the workspace's grid, evaluates the formula as if pasted into the `at` cell (or A1 if omitted), resolves real refs against actual data. Returns { ok, displayValue, error? }. Workspace mode requires read access; standalone mode is public.
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  • Get comprehensive portfolio overview for a wallet address or entity. Hyperliquid perpetual positions include liquidation prices to support risk analysis workflows. For wallet addresses, supports different modes: - 'fast-mode-default': Wallet balances + Hyperliquid positions (skip defi, for fast mode only) - 'all': Wallet balances + DeFi positions + Hyperliquid positions - 'wallet_balances': Only token balances (tokens and native coins across all chains) - 'defi': Only DeFi positions (lending, staking, LP tokens, etc., excluding Hyperliquid) - 'hyperliquid': Only Hyperliquid positions (perps include liquidation price, plus spot, staking, vault, free tokens) For entities (e.g., "Binance", "Paradigm Fund"), only on-chain token balances are returned, aggregated across all addresses associated with the entity. This tool provides flexible portfolio analysis in a single request, allowing users to focus on specific aspects of their holdings. The output is pre-formatted markdown that should be presented exactly as returned, preserving all tables, sections, and formatting without reinterpretation. Example Usage: Get full comprehensive portfolio for a wallet: ``` { "walletAddress": "0x28c6c06298d514db089934071355e5743bf21d60", "mode": "all" } ``` Get only DeFi positions (returns raw JSON): ``` { "walletAddress": "0x28c6c06298d514db089934071355e5743bf21d60", "mode": "defi" } ``` Get only Hyperliquid positions (returns raw JSON): ``` { "walletAddress": "0x28c6c06298d514db089934071355e5743bf21d60", "mode": "hyperliquid" } ``` Get token balances for an entity: ``` { "entity_id": "Binance" } ```
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  • Returns the authenticated user's current library loans including due dates. Requires mcp_session_id with the LIBRARY provider linked via start_auth. Returns AUTH_REQUIRED with a loginUrl if LIBRARY is not authenticated — show the loginUrl to the user and ask them to open it in a browser, then retry this call with the returned mcp_session_id.
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  • Delete a stored Carbone template. This is a soft delete: the template is marked for garbage collection and removed after a delay (default 24 hours). You can delete by Template ID (removes all versions) or by Version ID (removes only that specific version). For immediate or scheduled deletion, use update_template_metadata with expireAt = 42000000000 (NOW) or a future Unix timestamp.
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  • Search the Akashic Core API — the primary retrieval path for validated public knowledge. Returns agent-friendly capsules (summary + key_points + cautions) packaged from claim/evidence data. Use this FIRST for factual/conceptual questions. For your own working notes use search_notes. - mode='compact' → 1-sentence summary per capsule (smallest, best for small models) - mode='standard' → full capsule without metadata (default) - mode='full' → everything including metadata and timestamps - fields=['summary','key_points'] → custom projection overriding mode
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  • Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use search.files / search.threads / search.links for that.
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  • Module visualization tool. Use when the user wants to understand how a module's modes work, how parameters change between modes, or what a specific mode does — a visualization communicates the per-mode behavior better than prose. The host renders the result inline in the chat as an interactive visualization (mode buttons, per-mode descriptions, schematic curves); you do not need to build an artifact yourself — just call this tool. Do not use for general module specs (HP, jacks, capabilities) — call get_module instead. After calling, your prose can reference what the user is seeing in the visualization (e.g. "in formant mode, all three outputs become bandpass filters") rather than describing the visualization itself. Currently supported viz families: - filter_response — filters with characterized response curves (e.g. Three Sisters, Ripples, Belgrad, A-124, Filter 8, QPAS, SVF 1U, Cinnamon, C4RBN, Ikarie) - oscillator_morph — multi-mode oscillators and excited resonators (e.g. Rings, Loquelic Iteritas, Plaits) A module is supported when every one of its modes has a behavior_model_id the renderer knows. If you're unsure whether a given module qualifies, just call this tool — the error names the gap. Errors: - "Module not found: <id>" if no module with that id exists. - "Module not yet supported by visualize_module: <id>" when one or more modes lack a renderer-known behavior_model_id, or when the module mixes incompatible viz families. Suggest get_module for the underlying spec. The returned spec is a JSON object with: module_id, module_name, manufacturer, viz_type, params[], modes[], response_model_id, presets[]. Each mode has a behavior_model_id that the renderer uses to pick the curve set (e.g. crossover_lp_bp_hp vs formant_three_bp for filter_response). `response_model_id` (top-level) vs per-mode `behavior_model_id`: for multi-mode modules the top-level field is intentionally null — each mode carries its own behavior_model_id since the modes use different curve sets (e.g. Three Sisters' crossover vs formant). Read the per-mode values from `modes[].behavior_model_id`. The top-level is populated only for single-curve modules where one model applies across the whole module. `null` at top-level + populated per-mode = "modes carry distinct models," not a bug.
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  • Resolves a package/product name to a Context7-compatible library ID and returns matching libraries. You MUST call this function before 'query-docs' to obtain a valid Context7-compatible library ID UNLESS the user explicitly provides a library ID in the format '/org/project' or '/org/project/version' in their query. Selection Process: 1. Analyze the query to understand what library/package the user is looking for 2. Return the most relevant match based on: - Name similarity to the query (exact matches prioritized) - Description relevance to the query's intent - Documentation coverage (prioritize libraries with higher Code Snippet counts) - Source reputation (consider libraries with High or Medium reputation more authoritative) - Benchmark Score: Quality indicator (100 is the highest score) Response Format: - Return the selected library ID in a clearly marked section - Provide a brief explanation for why this library was chosen - If multiple good matches exist, acknowledge this but proceed with the most relevant one - If no good matches exist, clearly state this and suggest query refinements For ambiguous queries, request clarification before proceeding with a best-guess match. IMPORTANT: Do not call this tool more than 3 times per question. If you cannot find what you need after 3 calls, use the best result you have.
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  • Toggle confirmation mode for write operations. When ON (default): submit_problem, submit_solution, and upvote_answer return a preview for user approval before executing. You must then call confirm_action(action_id) or cancel_action(action_id). When OFF: write operations execute immediately as before. The user can ask you to turn this on or off at any time.
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  • Retrieves authoritative documentation for i18n libraries (currently react-intl). ## When to Use **Called during i18n_checklist Steps 7-10.** The checklist tool will tell you when you need i18n library documentation. Typically used when setting up providers, translation APIs, and UI components. If you're implementing i18n: Let the checklist guide you. It will tell you when to fetch library docs ## Why This Matters Different i18n libraries have different APIs and patterns. Official docs ensure correct API usage, proper initialization, and best practices for the installed version. ## How to Use **Two-Phase Workflow:** 1. **Discovery** - Call with action="index" 2. **Reading** - Call with action="read" and section_id **Parameters:** - library: Currently only "react-intl" supported - version: Use "latest" - action: "index" or "read" - section_id: Required for action="read" **Example:** ``` get_i18n_library_docs(library="react-intl", action="index") get_i18n_library_docs(library="react-intl", action="read", section_id="0:3") ``` ## What You Get - **Index**: Available documentation sections - **Read**: Full API references and usage examples
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