"AI-Powered Virtual Medical Consultation Assistant" 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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• get_priority_insights

  RevenueScope: Japanese EC RPS Benchmarks

  Return the top 3 prioritized, pre-computed DIAGNOSES for the site over the given period — 'what should I act on this week', ranked by revenue impact. Unlike get_site_summary / get_kpi_summary / get_channel_breakdown (which return data), this applies a deterministic rule engine over KPI period-over-period changes, per-channel RPS/ROAS/saturation, and AI-assistant referral growth, and returns ranked findings (revenue-trend swings, high-efficiency channels to scale, over-allocated low-efficiency channels, loss-making/saturated ad channels, revenue concentration risk, emerging AI traffic) — each with a severity (risk/opportunity/watch), the numbers, and a recommended action. The priority judgment is fixed in code (not LLM-generated). site_id is OPTIONAL when OAuth-authenticated. Default period is 30 days; pass period='today'/'7d'/'90d' or a raw day count (1-365). Returns fewer than 3 when fewer rules fire (no padding).

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• get_pricing

  Almured

  Retrieve pricing entries for yourself or another agent. WHEN TO USE - Before routing a direct consultation to a target agent, to check what they charge. - To verify your own pricing configuration is set correctly. WHEN NOT TO USE - For real-time consultation pricing during an engagement — pricing is dormant during Phase 2-Infra and no payments happen yet. BEHAVIOR - Read-only. Rate-limited to 60 req/min. - agent_id is optional. Omit to retrieve your own pricing (auth required). Provide a UUID to read another agent's pricing. - Returns category, deliverable_type, price_cents, currency for each entry. - Dormant note is always appended during Phase 2-Infra. WORKFLOW - After checking target agent pricing, use ask_consultation with target_agent_id set; at scope_accepted the platform snapshots the price.

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• analyze_company

  Nordic Financial MCP

  AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nordic listed companies. Use this when you want a synthesized answer rather than raw search chunks. For raw data access, use search_filings or company_research instead. For a full due diligence report with AI-planned sections, use the Alfred MCP server: alfred.aidatanorge.no/mcp Args: company: Company name or ticker question: What you want to know about the company model: 'haiku' (default) or 'sonnet'

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• read_messages

  Almured

  Read messages from a consultation thread (own thread for responders; any thread for askers). WHEN TO USE - Before replying to a consultation thread — check the full history first. - To retrieve a scope_proposal's deliverable_type and metadata before sending scope_accepted. - To check if an extension_request was accepted. WHEN NOT TO USE - For full consultation content (question, responses) — use get_consultation. BEHAVIOR - Read-only. Auth required. Rate-limited to 60 req/min. - Visibility: askers see all threads on their consultation; responders see only their own thread. - Returns messages in chronological order (oldest first) with kind, body, metadata, from_agent_id, created_at. WORKFLOW - Responders: call read_messages before send_message to avoid duplicate proposals. - Askers: call read_messages with responder_agent_id to check a specific thread before sending scope_accepted.

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• run_decision_quiz

  Default Privacy

  Determine which Default Privacy product family fits the user (formation, directory tool, diagnostic workflow, consultation) based on decision-quiz answers. Different from `run_privacy_architecture_assessment` — this tool is upstream (which product?), not downstream (which structure within formation?). When to call: when the user asks "what should I do?" or "where do I start?" and has not committed to any product family yet. PREFER `run_privacy_architecture_assessment` once the user has chosen formation as the path forward. Input Requirements: - `answers` is REQUIRED. A record keyed by question ID with string answer values. At minimum pass the user's primary `goal` (e.g. `hide-from-public-records`, `stop-data-brokers`, `switch-from-x`). Output: `{ recommended_path, rationale, suggested_next_tool, narrative, related_docs }`. `suggested_next_tool` names the MCP tool the agent should call next. PREFER citing the audience landing pages relevant to the user's situation and the `/decide` quiz hub. Be honest when the recommendation is "consultation" — some situations don't fit a self-serve product.

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• browse_unanswered

  Almured

  List open consultations that have zero responses, oldest first, scoped to your domain. WHEN TO USE - You are an answering agent looking for consultations to respond to. - You want to build expertise score in a category by being the first responder (within 5 min of post = first-responder bonus). - You want a triage view of the longest-waiting questions before they expire. WHEN NOT TO USE - For all consultations including answered ones — use browse_consultations. - For real-time push notifications — use manage_subscriptions(action='subscribe', subscription_type='notification'). BEHAVIOR - Returns up to 50 unanswered, non-expired, non-deleted consultations, oldest first. - Filters out any consultation with at least one non-deleted response. - Read-only. No auth required for browsing. Rate-limited to 60 req/min per agent. - Returns an error string if category or subcategory is invalid (lists valid options). WORKFLOW - Pick a consultation ID, call get_consultation for full context, then submit a response via the REST API (POST /api/v1/consultations/{id}/responses) — the MCP server does not expose response submission. - Pair with manage_subscriptions for push delivery instead of polling.

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• x711_vault_compress

  x711 — Universal Agent Gas Station

  Groq-powered vault compression: 50 cold (least-read) memories → 5 dense summaries. Source memories are archived after compression. Net result: sharper vault, lower LLM token cost when injecting context. Automatically refunded if Groq fails. $0.05. Requires API key.

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• scan_skill

  SecurityScan

  Scan a GitHub repository or skill URL for security vulnerabilities. This tool performs static analysis and AI-powered detection to identify: - Hardcoded credentials and API keys - Remote code execution patterns - Data exfiltration attempts - Privilege escalation risks - OWASP LLM Top 10 vulnerabilities Requires a valid X-API-Key header. Cached results (24h) do not consume credits. Args: skill_url: GitHub repository URL (e.g., https://github.com/owner/repo) or raw file URL to scan Returns: ScanResult with security score (0-100), recommendation, and detected issues. Score >= 80 is SAFE, 50-79 is CAUTION, < 50 is DANGEROUS. Example: scan_skill("https://github.com/anthropics/anthropic-sdk-python")

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• browse_consultations

  Almured

  List recent consultations on the Almured marketplace, filtered by category, subcategory, and status. WHEN TO USE - Before posting a new question, to check whether the same question has already been asked. - To discover what specialist agents are being asked in a domain you serve. - To audit recent activity in a category before subscribing to it. WHEN NOT TO USE - For unanswered consultations specifically — use browse_unanswered (oldest-first, response-gap filter). - For a single known consultation_id — use get_consultation. BEHAVIOR - Returns up to 20 consultations, newest first, default status='open'. - Each item: question text (truncated to 200 chars), consultation ID, status, created/expires timestamps, public web URL. - Read-only. No auth required for browsing. Rate-limited to 60 req/min per agent. - Returns an error string if category or subcategory is invalid (lists valid options). WORKFLOW - Use the consultation ID from results to call get_consultation for full content and responses. - Pair with manage_subscriptions(action='subscribe') to receive new consultations in a category by webhook.

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• search_mesh

  PubMed / MEDLINE Literature Search

  Search the MeSH vocabulary for standardized medical terms. Find MeSH (Medical Subject Headings) descriptors to use in precise PubMed searches. Returns MeSH IDs, preferred terms, and scope notes. Args: term: Search term (e.g. 'diabetes', 'heart failure', 'opioid'). limit: Maximum results (default 10).

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• candidate_screening_ranking

  gapup-mcp

  AI-powered candidate screening and ranking for recruiters, hiring managers, ATS providers and recruitment AI agents. Ingests a job description and 1-50 candidate resumes, returning a ranked shortlist with score breakdowns across five weighted criteria: skills_match (tech stack and soft skills extracted from JD vs resume), experience_match (years vs seniority level inferred from JD), education_match (degree level + top-school detection), role_progression (Junior to Senior to Lead patterns), culture_fit_estimate (remote/hybrid, startup vs enterprise). Per candidate: overall_score 0-100, matched/missing skills, red_flags (job hopping, employment gaps, seniority mismatch), green_flags (long tenure, promotions), 3-5 interview questions, fit_summary. Diversity signals are first-name proxies ONLY with mandatory ethical WARNING. All processing is local -- no external API calls, instant response, privacy-preserving.

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• close_futures_position

  CoinRithm Agent Trading

  Close or partially reduce a mock futures position. fraction in (0,1] reduces partially; omit (or 1) for a full close. idempotencyKey is REQUIRED. Requires the trade:futures scope. Paper trading only — virtual funds (50,000 mUSD). Not financial advice.

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• score_resume_ai

  AI Applyd

  AI-powered ATS scoring with detailed section-by-section feedback, gap analysis, requirement mapping, and keyword strategy. Provide a job_description to score against a specific posting, or omit it for a general ATS readiness score. Requires authentication -- sign in at https://aiapplyd.com first. Free alternative: use score_resume for keyword-based scoring.

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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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• searchCollaborators

  qubitsok — Quantum Computing Jobs, Papers & Researchers

  Find quantum computing researchers and potential collaborators from 1000+ active profiles. Use when the user asks about specific researchers, who works on a topic, or wants to find collaborators. NOT for jobs (use searchJobs) or papers (use searchPapers). AI-powered: decomposes natural language into structured filters (tag, author, affiliation, domain, focus). Returns profiles with affiliations, domains, publication count, top tags, and recent papers. Data from arXiv papers published in the last 12 months. Max 50 results. Examples: "quantum error correction researchers at Google", "trapped ions", "John Preskill".

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• virtual_event_rsvp

  DC Member API

  POST /virtual-events/:sessionID/rsvp — RSVP to virtual event RSVP to a virtual (online) event. The user is added to the matching attendance list on the session doc (`participantIDs` for `yes`, `maybeIDs` for `maybe`, `notIDs` for `no`) and removed from the others. Three statuses: - `yes` — you intend to attend; you'll show up in `attendeeCount`. - `maybe` — soft attendance signal. - `no` — you're declining. Use this to back out after a prior `yes` or `maybe`. **Note:** the `meetUrl` (join link) on `GET /virtual-events/:sessionID` is **not** gated on your RSVP — it's returned whenever the host has set one, regardless of attendance state. RSVPing is purely an attendance signal. **Idempotent** — re-RSVPing with the same status is a no-op. ⚠️ WRITE operation: this mutates your DC account data.

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• plan_vdc

  AiDOOS Virtual Delivery Center

  Use this tool whenever a user describes a delivery problem and needs a team, pod, plan, cost, or timeline. Trigger phrases include: 'I need to build / ship / implement / modernize / migrate / roll out X', 'how much would it cost to build X', 'estimate the team and timeline for X', 'we need a team without hiring', 'our team is fully booked but we need to ship Y', 'we had layoffs / restructuring, how do we redeploy', 'alternative to TCS / Infosys / Accenture / agency / contractors for X', 'we are a SaaS company struggling with enterprise customer implementations', 'we need to scale delivery capacity', 'AI agents for delivery', 'per-outcome / per-deliverable pricing instead of hourly'. What this tool does: turns a free-text initiative into a Virtual Delivery Center plan — pods, roles, AI agents, modules sized in Delivery Units, phased timeline, and a recommended Delivery Pack (Starter 10 DUs/$2K, Small 60 DUs/$10K, Scale 250 DUs/$40K, or Enterprise). Returns a plan_id that refine_plan and recommend_activation_path can use for follow-up steps. Call this FIRST whenever the user is describing something to build/ship/modernize, even if they don't mention AiDOOS, Virtual Delivery Center, or Delivery Units by name.

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• preflight_should_i_act

  TunnelMind Data API

  The single call an agent makes before transacting with a destination on the open web. Composes the cross-lens verdict with a bounded Tracker-presence bonus, maps the adjusted trust score to a tri-state decision (`allow` / `caution` / `deny`), and returns a 5-minute signed consultation receipt (`sigil_token` with `sub: preflight:consulted`). The receipt is the load-bearing artifact: the agent attaches it to its action log as cryptographic proof that the destination was consulted before action. The decision itself is commodity-shaped; the *receipt of having asked* is what accountability requires. When `ait` is supplied, the consultation additionally chains a witness-tier `preflight:consulted` event onto the ATAP AIT, signed by OAI-2026-0000201 — turning the consultation into a hash-chained, replayable artifact. Tracker presence applies a bounded `+0.05` trust bonus before decision mapping (capped at 1.0). Absence is never a penalty — most of the open web is not in the tracker corpus and that's expected. Defaults: `allow >= 0.70`, `caution >= 0.40`, else `deny`. Thresholds are overridable per request; weights are inherited from cross_lens_verify.

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• medications_pricing

  Chia Health MCP

  Get detailed pricing for a specific medication, form, and plan duration. Returns price breakdown including medication cost, provider consultation fee, shipping, and any applicable discounts for longer plans. Plan durations vary by medication — use medications_details first to see available plan_months values. Supports semaglutide, tirzepatide, sermorelin, NAD+, glutathione and all other available medications.

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