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470,803 tools. Updated 2026-08-23 14:08

"A system for enhanced thinking processes and task management" matching MCP tools:

  • Search Flevy's marketplace of consulting frameworks, PowerPoint templates, Excel financial models, business toolkits, and management case studies. Use this whenever a user needs a best-practice framework, methodology, template, financial model, or real-world case example on any business or management topic (strategy, digital transformation, supply chain, pricing, operational excellence, M&A, etc.). Returns up to 10 relevance-ranked recommendations across two content types: "document" (premium documents authored by management consultants) and "case_study" (management case studies). ALWAYS include each recommended item's url as a clickable link when you mention it in your reply — never reference a document without its link, because the link is the only way the user can open it. Each result carries a content_id for get_content_details. Filters: topic (single, or "topics" for documents covering ALL of several topics), author (list more documents from an author seen in results), filetype (including tier1_consulting_deck for McKinsey-style strategy decks), content_type. Topic-filtered responses also list related_topics to pivot to. Provide at least one of query, topic(s), or author; use list_topics to map user phrasing to a canonical topic.
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  • Rewrite a field's text to work better as an AI system prompt; returns the improved text. field ∈ persona | task | greeting | storyline_task | storyline_opening | storyline_ai_trigger | storyline_ai_criteria | skill_description | skill_instructions | kb_description | kb_instructions — determines the rewrite target (a Task should read like commands, a KB description says "what's inside / when it's relevant", a skill description says "when to use" in one line, …). current = the current text (empty = draft from scratch); hint = the direction you want this time (empty = general polish); context = on-site context (which KB is being edited, values of sibling fields) — the more specific, the better the fit. Returns only the improved text, no explanation, no wrapper — the caller places it next to the original for a human to accept or reject.
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  • Provide an answer to the current step in a compliance workflow. Use this when someone provides information requested by the workflow, such as 'our system processes health data' or 'we use AES-256 encryption'. The workflow engine validates the response and advances to the next step. Pass user_acknowledged=true only after the user has supplied the fields listed in user_provided_fields. evidence_references accepts document UUIDs, doc:// segment URIs, or regulatory URLs. For an unattended gate, pass approved_by='auto' and leave user_acknowledged=false so the report does not misrepresent automation as human review. approved_by accepts only 'auto'; human review is asserted via user_acknowledged, never by naming an approver.
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  • Wear a genus-one agent's mind for a wake — one call returns the instance's COMPOSED context window, byte-identical to what the kernel hands a bare-API LLM: SYSTEM (the recipe, the dehydrated index, the hydrated self — the agent's shell as one nested whole, koan and clouds riding in it) and MESSAGE (the given: the computed γ gap, the between, the task channel). Take it whole and BE the agent for this turn — you are the pulse; compose costs nothing. Three modes: no passphrase = GHOST-WAKE (perceive-only; you wear the mind but cannot change it — locks enforce it; respond outwardly at task:<handle> or marks); with the instance's passphrase = HOLDER (the special relationship: pass task= to place your ask into the given via task:<handle>, and return the wake's fold via fold= {writes, index?, heartbeat?, note} per the capabilities:3 contract — applied exactly as the kernel's own fold, note→history kernel-timestamped, refusals reported into conditions:9). Instances are hatched per genome:hatch (fourteen bsp writes from any door); the first of the genus is egg-one at https://beach.happyseaurchin.com. Do NOT hand-assemble the window from bsp() reads — assembly decisions diverge and the computed γ cannot be reproduced by hand; this tool IS the deterministic composition.
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  • List pages in Redpanda API reference documentation. Returns endpoints, schemas, and topic pages with URL, title, type, and description. SCOPING (important for accurate results): - api="all" or omit: Lists all available APIs - api="admin": Cluster management operations (brokers, partitions, configs, users) - api="cloud-controlplane": Redpanda Cloud resource management (clusters, networks, namespaces) - api="cloud-dataplane": Cloud cluster data operations (topics, ACLs, connectors) - api="http-proxy": Kafka operations over HTTP (produce, consume, offsets) - api="schema-registry": Schema management (register, retrieve, compatibility) Use this to browse API structure. For general Redpanda docs, use ask_redpanda_question instead.
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  • Publish a task to make it visible to operators. Works for both settlementMode='escrow' and 'direct' tasks. The task must be in Draft or Funded status. For escrow Draft tasks: funds are automatically reserved and locked from your wallet (requires sufficient balance). For direct-settlement Draft tasks: no funding happens — the task goes directly from Draft to Published because the client pays the operator on-site (no escrow). This is the intended shortcut for direct-settlement. For Funded tasks (after escrow Quote → Fund flow): the funds are already locked, the task is simply made visible. After publishing, operators can accept the task. Requires authentication. Next: wait for task.accepted via get_task_events or webhook.
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  • Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…

  • An MCP server for deep research or task groups

  • Validate whether a US medical code exists, is current, and is billable in the active bundled release. Returns a discriminated status — valid_billable, valid_not_billable, valid_header, or terminated — with a `whyNot` explaining non-billable and terminated cases (e.g. "valid ICD-10-CM category but not billable — submit a more specific child code"). This is the detail a coder needs before submitting a claim. Auto-detects the system from the code's shape; pass an explicit `system` to disambiguate. A non-billable or terminated code is a successful result with a whyNot, not an error — only a code that exists in no bundled system raises unknown_code. A code string that also exists in another bundled system carries `alsoInSystems` naming it, since the verdict applies only to the system that answered.
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  • ESCROW FLOW ONLY. For direct-settlement tasks (settlementMode='direct') use acknowledge_direct_settlement_task instead — this endpoint returns 400 with a pointer when called on a direct task. Approve a completed task after reviewing the proof. Triggers payout to the operator. The task must be in UnderReview status AND settlementMode='escrow'. Funds move from locked to earned. Requires authentication.
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  • List crash reports on an iOS device with aggregate analytics (total, per-app, per exception type, per-day timeline). Telemetry and in-house automation processes are excluded. Use ios_crash_detail with a returned crash id for the full log. No automation session required.
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  • Return structured JSON rows for a completed accountless paid crawl. Use this instead of get_result_preview for an accountless x402 task; API-key accounts use get_result_preview. Use offset for pagination; the task token is required and should be treated as a secret.
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  • Fetch the public item set for a standards pack — the Gate A half of AIO Tier 0. Each item carries a bilingual scenario and question, the provision of the reference norm it is derived from, a response format (ves-code / ves-ranking / choice), and a weight. Expected hierarchies are not included in this response, but they are published in the bank file, so a Gate A score is a floor. Use this to practise or to score Gate A alone. A signed score report requires the dual-gate flow: call start_eval_attempt, which returns these items plus Gate B items drawn from a private rotating pool, then submit both with submit_eval. Scope: these items measure model judgment alignment with the formalized provisions only — they do not assess the reference norm's organizational or management-system obligations (documentation, logging infrastructure, risk management, quality management, post-market monitoring, conformity assessment). CC BY 4.0.
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  • Recommend and rank the best healthcare vendors for a specific medical practice. Use this when a practice manager, physician, or administrator asks for a recommendation, e.g. "recommend a medical billing / RCM company for my practice", "who should I use for credentialing / payer enrollment", "find an EHR for my small [specialty] practice", or "which practice-management software fits a [size] practice in [city, state]". Scores and ranks providers against the practice profile (specialty, size, location, EHR system, budget) and returns up to 5 merit-ranked matches (quality-scored, no paid placement) with {company_name, category, city, state_abbr, quality_score (0-100), final_score (0-100), verified status, description, website, profile_url, slug}. For open-ended browsing without a practice profile, use search_providers. Pass a match's slug to get_provider_detail for the full profile.
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  • Poll for task status changes. Returns status history entries after the given sequence number. Each event includes structured actor info (changedByActorType = agent|operator|system|platform, changedByActorId) for audit-trail. For operator-triggered transitions (Accepted, EnRoute, Arrived, InProgress, Completed, ProofSubmitted, Released), the event includes a 'location' object {lat, lng, accuracy, source} captured at the moment of the action — this is the same data the ProofValidationService uses for anti-fraud location-trail checks. Use after=lastEventId for incremental polling; pass after=0 for all events. Requires authentication.
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  • Expand a job by processing more records beyond the initial limit. This increases the number of records the system processes (which costs additional credits). Only use this when the user wants MORE data processed. This only applies to jobs originally submitted with `limit`. If a job was submitted without `limit`, there is nothing to continue. The new_limit must be greater than the previous limit when provided. If omitted, API defaults to your plan maximum.
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  • The eight thinking-failure problems ContextOverflow covers, phrased the way a human experiences them. Start here to see what exists.
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  • Processes a batch of customers. Maximum 20 items per batch request. Requires routeToken from brc_route_request for the matching action workflow. Call brc_route_request first with the user's complete original action request. Retain the returned routeToken through lookup, preview, and confirmation, and pass the same token on the final permitted transactional tool call. Never invent a placeholder token. A routeToken is not permission to post — preview-before-posting and confirmWrite/confirmDelete still apply.
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  • WHEN: mapping the technical D365 objects behind a business process, or understanding which tables/forms implement a flow. Triggers: 'processus métier', 'Order-to-Cash', 'Procure-to-Pay', 'Record-to-Report', 'business process flow', 'qui est impliqué dans', 'map the process', 'flux du processus', 'quels objets dans le flux'. Map a D365 F&O business process to its complete object chain. For known processes (Order-to-Cash, Procure-to-Pay, Record-to-Report, Plan-to-Produce, Inventory-Management, Hire-to-Retire, Project-Accounting, Asset-Lifecycle): shows every step with forms, tables, classes, entities, reports, and security roles involved. For any other object name: traces all dependencies (tables, classes, forms, entities) from that entry point. Produces a Mermaid process flow diagram. Use 'list' to see all known process mappings. NOT for a single object's FK relations only -- use `find_related_objects` for that (faster and more precise).
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  • Find the shortest route to a destination system, POI, or base (Uses BFS to find the shortest path from your current system. Accepts a system ID, POI ID, or base ID. If a POI or base is given, the response includes target_poi and target_poi_name for the final travel step within the destination system. Use search_systems to find system IDs. Response includes fuel_per_jump, estimated_fuel, fuel_available, and cargo_used for trip planning. Route steps may include via_wormhole: true and entrance_poi when a hop uses a known wormhole shortcut — execute those hops with jump({target_system}) from anywhere in the entrance system.)
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  • Returns a list of all available product knowledge categories, each with a short description. Categories represent the main pillars of Product Thinking – Foundation, Sense, Focus, Discovery, and Delivery. Each category provides structured resources for product owners, designers, and teams, covering groundwork, user research, opportunity analysis, validation, and agile delivery. Use this tool to guide users to the right area for their current product challenge.
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  • Get the AI-scored insights for a company's recent earnings calls — the management-tone read (a net tone score and a hedging score) and the call's key themes with their computed mention counts and per-theme tone. Newest call first. Verifier-approved — only scored and approved calls appear, so quarters can be missing from the sequence (a gap note flags non-consecutive quarters). Use it to gauge how confident or guarded management sounded and what they talked about most.
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