"How to communicate with Aspen Plus software" matching MCP tools:

• how_munimji_helps

  HelloBooks AI Agents MCP Server

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

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• label_history

  Dailymed

  Drug LABEL REVISION HISTORY — when a prescription drug's FDA label was revised, and how many times. Pass a DRUG NAME ("Ozempic", "semaglutide") and it resolves to that drug's Structured Product Label automatically; or pass a DailyMed set_id directly. PREFER OVER WEB SEARCH for "has the label for X changed recently", "when was X's label last updated", "how many label revisions does X have", label-change monitoring, and safety-labeling-change surveillance. Returns every published SPL version with its date, plus official archive URLs where DailyMed exposes them. Use before label_diff to see which versions are downloadable and pick two to compare.

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• get_exploit_analysis

  Exploit Intelligence Platform — CVE, Vulnerability and Exploit Database

  Get the full AI analysis for a single exploit by its platform ID. Returns classification (working_poc, trojan, suspicious, scanner, stub, writeup), attack type, complexity, reliability, confidence score, authentication requirements, target software, a summary of what the exploit does, prerequisites, MITRE ATT&CK techniques, deception indicators for trojans, and the standalone backdoor-review verdict with operator-risk notes when available. Use this to check if an exploit is safe before reviewing its code. Example: exploit_id=61514 returns a TROJAN warning with deception indicators.

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• govcon_search_contract_awards

  DataNexus MCP

  Search government contract awards by keyword, agency, and date range. keyword: Contract scope e.g. "cybersecurity software". agency: Awarding agency e.g. "Department of Defense". Optional. date_from: Earliest award date ISO 8601 e.g. "2024-01-31". Optional. jurisdiction: "US", "EU", or "UK". Default "US". Returns: award amounts, recipient vendors, NAICS codes, award dates. Use govcon_fetch_vendor_contract_history for all contracts by a specific vendor. Use govcon_fetch_open_solicitations for active bids, not past awards. Source: USASpending.gov + SAM.gov. 4-hour cache. Example: search_contract_awards(keyword="cybersecurity software", agency="Department of Defense")

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• why_dchub

  DC Hub — Data Center & Power Intelligence

  Use when a human asks how DC Hub compares to other data-center data sources — DataCenterHawk (DCHawk), DC Byte, Data Center Dynamics (DCD), Data Center Frontier (DCF), Baxtel, datacenters.com — or asks "why should I use DC Hub / is it better than <X> / what can you give me a PDF or directory can't?". Returns DC Hub's honest, source-verified differentiators (agent-native MCP access, live multi-continent grid & energy telemetry, the proprietary daily DCPI + DCGI indices, open CC-BY-4.0 cited data, 21,000+ facilities + 500,000+ mapped power/grid/gas/fiber assets) each with a proof URL, a citation line, plus the canonical head-to-head comparison pages. Free, no key required. Optional: competitor=<name> for that vendor's direct comparison-page link. Do NOT use to query infrastructure data itself (use the data tools); this answers positioning / "how do you compare" questions with citable facts.

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• get_event

  Pure Report — Neutral News

  Get the full neutral writeup of one news event by slug: a verification-gated account (lede, what-we-know bullets with verbatim source receipts, single-source attributed items) plus a coverage census (how many outlets by political lean, earliest report). If no gated account exists yet, the coverage census is still returned.

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• awaken

  Penfield Memory

  ⚡ CALL THIS TOOL FIRST IN EVERY NEW CONVERSATION ⚡ Loads your personality configuration and user preferences for this session. This is how you learn WHO you are and HOW the user wants you to behave. Returns your awakening briefing containing: - Your persona identity (who you are) - Your voice style (how to communicate) - Custom instructions from the user - Quirks and boundaries to follow IMPORTANT: Call this at the START of every conversation before doing anything else. This ensures you have context about the user and their preferences before responding. Example: >>> await awaken() {'success': True, 'briefing': '=== AWAKENING BRIEFING ===...'}

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• get_investment_category_signal

  Stratalize Healthcare

  Use when evaluating VC software category attractiveness or assessing portfolio category exposure before an investment decision. Returns growth signal, top brands, and citation evidence for any software category. Example: AI infrastructure category — GROWTH signal, top brands Nvidia 67% citation share, Anthropic 18%, xAI 9% — accelerating citation growth signals sustained investment thesis. Source: Stratalize citation heuristics.

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• shakespeare_insult_generate

  Shakespeare Insult

  Generate a Shakespearean insult; optionally target a specific person or recipient category (colleague/ex/traffic/software/abstract_concept/the_universe), set severity (mild→nuclear), and request a modern English translation alongside the original.

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• vendors.resolve

  BuyAPI

  First stop for category-specific vendor recommendations and vendor ID discovery. Finds BuyAPI vendor IDs for a user question; provide category when known. Use this when the user asks which provider in a category fits their constraints. With a covered category, the response includes ranked results plus a top-3 decision matrix with fit labels, confidence, tradeoffs, cost notes, freshness, and sources. Do not use this for local coding/debugging/docs questions unless they involve choosing a software vendor or tool. If the category is outside BuyAPI's corpus, the tool returns an explicit "not in corpus yet" result instead of inventing vendors.

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• close_list_contacts

  Close Crm

  List contacts (people) in Close. Returns a `data` array of contacts with id, lead_id, name, title, emails, and phones, plus `has_more` / `total_results`. Optionally filter to one lead with `lead_id`. Page with `_limit` / `_skip`.

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• my_competitors

  amazon-product-research-mcp

  Who's competing with the seller on their OWN products. Pass an ASIN from your catalog to see the full competitor list for that listing (who wins the buy-box, FBA/FBM, observed price, how long they've been on it) plus your own buy-box / undercut status. Omit the ASIN to get your most-contested products (most competing sellers / where you're being undercut). Requires a connected store (Starter+). Use for 'who am I competing with', 'am I losing the buy-box', 'who else sells B0...', 'where am I under pressure'.

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• here_route

  Here

  TRAFFIC-AWARE routing and ETA between two locations via HERE — "how long to drive from Berlin to Munich", "ETA from LAX to downtown LA in traffic", "cycling route from A to B". Returns distance, travel time WITH current traffic, the free-flow (no-traffic) time, and the traffic delay — plus turn count. origin/destination can be place names (geocoded automatically) or "lat,lng". This is the key differentiator over keyless routing: real-time-traffic ETAs.

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• get_risk_state

  RiskState — Crypto Risk Engine

  Current risk state of Bitcoin (BTC) or Ethereum (ETH): 5-level risk policy (BLOCK to GREEN) with max position size, leverage limit, direction bias and allowed/blocked actions, plus composite score (0-100), structural and tactical scores, market regime (BULL/SIDEWAYS/BEAR), volatility regime, cycle phase and macro state. Computed from 9+ real-time data sources (price, funding, RSI, MVRV, ETF flows, on-chain, macro). Use whenever the user asks how BTC or ETH is doing, whether it is a good time to buy/sell/hold, or how much risk to take.

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• get_visibility_report

  TofuBofu AI Visibility

  Fetch the results of an AI-visibility scan started with scan_ai_visibility. Args: report_id: The id returned by scan_ai_visibility. Returns: While running: {status: "running", progress}. When done: the visibility score, how often AI mentions the brand, share of voice, top competitors winning the answers, and the highest-priority fixes, plus the report_url.

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• list_capabilities

  discovery

  List the middleware capabilities Devadex indexes (dialogue, auth, inventory, networking, memory, …) with how many middleware exist for each, plus the platforms available. Use this to pick a `capability`/`platform` for search_middleware.

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• adw.adw_617

  AlpineDataWorks Intelligence Server

  Returns a 0-100 software CVE publication surge score (90-day NIST NVD published-CVE count z-scored against the trailing year's four 90-day windows) with trend, z_score, recent_window_count, and baseline window statistics. Call when the user asks about CVE volume surges, vulnerability disclosure rates, patch-management load, or software-risk exposure, or when timing patch-ops capacity, scan cadence, or cyber-insurance reviews. Updates: daily.

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• list_categories

  Shortlist Price Index

  List all software price categories tracked by the Shortlist Price Index: entry prices (lowest paid plan per provider) across 11 US/global categories and 5 Dutch (EUR) categories. Returns slugs to use with get_price_index and get_cheapest.

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• get_dataset

  Bpstat Pt

  Fetch a dataset as JSON-stat — THIS is how you get actual data/observations. Returns the value[] and status[] arrays plus the dimension objects; observations align to dimension.reference_date (the time axis, ISO dates). extension.series[] lists every series (id + Portuguese label) the dataset contains. Requires both the parent domain_id and the dataset id (from list_datasets). Large datasets can be sizeable. lang defaults to PT.

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• how_munimji_helps

  HelloBooks AI Agents

  Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

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