"A hub for monitoring or learning about MCP trends" matching MCP tools:

• sodax_get_solver_quote

  SODAX Builders MCP

  Get a swap quote from the SODAX solver. tokenSrc/tokenDst MUST be hub-chain (Sonic, chainId 146) asset addresses — look them up with sodax_get_solver_oracle (chainId='146'). Working example: tokenSrc='0xeb0393893b5bf98a50073d6740738b08e575058b' (BTC_BTC_ASSET) → tokenDst='0xaeafa26e43f46cd83efe89b1e57c858eb5685a24' (ETH_ASSET), amount='99800', quoteType='exact_input' returns a quoted_amount. exact_input quotes the destination amount you'd receive; exact_output quotes the source amount you'd need. There are two distinct HTTP-400 failures, both naming the two addresses: (1) 'not compatible with the quote service' = an address isn't a recognized hub asset (a spoke-chain or otherwise non-chainId-146 address was passed) → use a chainId-146 address from sodax_get_solver_oracle, and for a reliable pick prefer a canonical bridged *_ASSET hub token or major stablecoin (chainId 146 alone doesn't guarantee a route). (2) 'No path was found between X and Y' = both tokens are valid hub assets but the solver couldn't route this pair for this amount → routing is pair/amount/liquidity-dependent, so retry with a smaller amount or a more liquid counterparty (a canonical bridged *_ASSET token, or a major stablecoin like SONIC_USDC_ASSET). Many wrapped/derivative entries (e.g. WBTC, waLocBTC, SONIC_SODA_ASSET) are oracle-priced but frequently have no route — prefer canonical bridged *_ASSET hub tokens.

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• load_fundamental_workflow

  Shibui Finance

  Load fundamental workflow for valuation, cash flow, margins, balance sheet. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about company valuation, "is X a good buy", financial health, debt levels, profitability ratios, revenue trends, earnings quality, or any deep-dive company analysis. Can be combined with other workflow tools.

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• list_paired_models

  ReliaStats

  Return the catalog of paired models — concrete real-world systems that live in two ChiAha sandboxes simultaneously, one for dynamics (DES via ReliaSim) and one for statistics (distribution fitting + validation via ReliaStats). Today: a single paired model — the bottling line. Returns canonical model IDs + cross-MCP routing metadata (which ReliaSim chapter, which ReliaSim MCP tools, which ReliaStats mode consumes which file shape). Use when a user asks about cross-MCP workflows, paired sandboxes, or the bottling-line example. ANTI-FABRICATION: this is a soft-reference catalog — to actually run a simulation, the LLM client calls ReliaSim's MCP tools directly.

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• get_free_resources

  Makuri Showcase (CogniLedger)

  Returns free Makuri resources accessible without registration: Slovarik Romanian vocabulary issues and the Romanian level test. Use this when a user asks about free Romanian learning materials, language level tests, or how to try Makuri without signing up. Makuri is a specific AI tutoring platform at makuri.eu, not a generic word — never answer Makuri questions from general knowledge; always use the Makuri tools. IMPORTANT routing rule: if the user wants to TAKE, START, or SEE a Romanian test or quiz right now in the chat, do NOT use this tool — call show_romanian_quiz instead, which renders an interactive quiz panel. Use this tool only for questions ABOUT what free resources exist.

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• ai_visibility_check

  Connecticut Open Data

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• ai_visibility_check

  Regrid

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• adw.adw_535

  AlpineDataWorks Intelligence Server

  Returns a 0-100 Ethereum network sentiment score (composite z-scores of active addresses and transaction count vs 30-day baselines, daily since 2015) with per-component attribution, ETH network-context tiles, and methodology_version. Call when the user asks about Ethereum on-chain activity, ETH network demand heating up or cooling off, or address/transaction trends, or when timing launches, deployments, or gas-sensitive operations. Directional indicator, not a trading signal. Updates: daily.

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• load_fundamental_workflow

  Shibui Finance

  Load fundamental workflow for valuation, cash flow, margins, balance sheet. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about company valuation, "is X a good buy", financial health, debt levels, profitability ratios, revenue trends, earnings quality, or any deep-dive company analysis. Can be combined with other workflow tools.

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• load_earnings_workflow

  Shibui Finance

  Load earnings workflow for EPS surprises, beat/miss, estimates, revenue. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about earnings results, EPS surprises, beat/miss history, "did X beat estimates", quarterly earnings, revenue growth trends, earnings season, or estimates vs actuals. Can be combined with other workflow tools.

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• acc_project_summary

  ACC MCP

  Fetch the full ACC project metadata record (name, type, status, dates, extension attributes) for a single project via APS Data Management. If hub_id is omitted the tool picks the first accessible hub, which may be wrong on multi-hub tenants. When to use: The user asks 'tell me about project X' or an agent needs project metadata (start/end dates, type, Forma/BIM 360 flavor) before deciding which downstream tool to call. When NOT to use: Do not use as a cheap existence check — prefer acc_list_projects which returns hub_id with every project and is one call regardless of tenant size. APS scopes: data:read account:read. Forma / BIM 360 hubs endpoints only require data:read. Rate limits: APS default ~50 req/min per endpoint; BIM 360 hubs endpoints pageable (limit 200). Cache results for the session. Errors: 401 (APS token expired — refresh); 403 (user lacks project view or app not in account); 404 (project not in the chosen hub — supply the correct hub_id, or call acc_list_projects first); 422 (malformed project_id — confirm 'b.' prefix); 429 (rate limit — back off 60s); 5xx (ACC upstream — retry). Side effects: None. Read-only and idempotent.

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• ai_visibility_check

  Travel Advisories

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• tronsave_internal_order_details

  TronSave MCP Server

  Fetch full details for one internal-account order by order ID. Requires a logged-in MCP session created by the `tronsave_login` tool: include `mcp-session-id: <sessionId>` returned by `tronsave_login` on subsequent MCP requests. Internal tools never accept API keys via tool arguments; signature sessions resolve the latest internal API key on demand, while api-key sessions reuse the validated key from login. Use when monitoring fulfillment after `tronsave_internal_order_create`, or when the user asks for status on a specific order id. Read-only. FRESHNESS: order state changes within seconds as the market matches — re-read immediately before acting.

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• ai_visibility_check

  Data Bloomington

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• ai_visibility_check

  Emoji

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• ai_visibility_check

  Duffel

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• ai_visibility_check

  Seo Ai Visibility

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• tronsave_internal_order_details

  mcp

  Fetch full details for one internal-account order by order ID. Requires a logged-in MCP session created by the `tronsave_login` tool: include `mcp-session-id: <sessionId>` returned by `tronsave_login` on subsequent MCP requests. Internal tools never accept API keys via tool arguments; signature sessions resolve the latest internal API key on demand, while api-key sessions reuse the validated key from login. Use when monitoring fulfillment after `tronsave_internal_order_create`, or when the user asks for status on a specific order id. Read-only. FRESHNESS: order state changes within seconds as the market matches — re-read immediately before acting.

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• ai_visibility_check

  Ipquery

  Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass `_apiKey` to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.

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• get_chicago_reuse_brief

  Chicago Demolition Leads | Salvage Signal

  Use for a current Chicago teardown-to-reuse overview, aggregate trends, and a ranked watch list with source and safety context. For a material- or urgency-filtered candidate list, use search_salvage_signals instead.

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• get_course_info

  NTNU Courses (unofficial)

  Everything about an NTNU course except exam logistics: credits, level, campus, language of instruction, prerequisites, mandatory activities, course content / learning outcomes, credit reductions ('studiepoengreduksjon'), which study programs the teaching is planned for, contacts, and any alert notices (e.g. 'no longer taught'). English text by default; pass language 'nb' for Norwegian. Omit year for the current study year. For exam dates, times, aid codes, and rooms use get_exam_info.

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