"Definition and applications of 'sequential'" matching MCP tools:

• clusters.get

  AI Design Blueprint

  Get one principle cluster by stable slug. Returns the cluster definition, shared rationale, and the full set of member principles (slug + title) so the caller can pivot into principles.get without a second list call. WHEN TO CALL: the user has already named a specific cluster (e.g. 'delegation', 'visibility', 'trust', 'orchestration') OR you have a slug from a prior clusters.list / principles.list response and need its full definition + member principles. The response embeds member principle slugs + titles already, so DO NOT loop principles.get over each member to get a cluster overview — read the response. WHEN NOT TO CALL: the user is describing a topic, failure mode, or keyword in natural language (call principles.search instead); the user wants to discover which clusters exist (call clusters.list); the user wants the definition of one specific principle (call principles.get directly). Idempotent + cacheable per slug. Returns 404-shaped error_payload on unknown slug — the slug must match exactly the value emitted by clusters.list, with no normalization.

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• update_live_flow

  Power Automate MCP Server by Flow Studio

  Update or create a Power Automate flow via the live PA API. If flowName is omitted or blank, a new flow is created (PUT with a generated GUID) using an environment admin account — definition and displayName are required in that case. If flowName is provided, the existing flow is PATCHed: displayName and/or definition and/or connectionReferences are updated. RENAME: pass displayName alone, or alongside definition/operations. Power Automate rejects a PATCH that carries no flow content, so a displayName-only (or connectionReferences-only) save re-saves the flow's unchanged live definition and connectionReferences — the maker portal does the same full save on rename. The response `updated` list names only what you asked to change. SURGICAL EDIT: instead of resending the whole definition, pass `operations` — an ordered list of set/add/remove/merge ops on array-of-keys paths — to change one action/parameter on a large flow cheaply and safely (fetches the live definition, applies the ops, PATCHes the result). Provide EITHER operations OR definition. Use `dryRun: true` to preview the result without writing. Mirrors displayName changes into the Power Clarity cache (gFlows). To modify a WHOLE definition: call get_live_flow, mutate properties.definition (including its description), pass it here. The flow description lives at definition.description and is required; we append " #flowstudio-mcp" to it for usage tracking.

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• create_application

  FlowCastle

  Create a new application (workspace) owned by the caller. Requires a personal API key (usr_...) — application-scoped keys cannot create applications. Seeds default flows unless skipDefaultFlows is true. Creates persistent state and is NOT idempotent: calling it twice creates two applications. Returns the new application id, which you then pass as applicationId to the other tools.

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• plan_workflow

  Meta Council

  Preview what a workflow WOULD do, without running it. Costs nothing and runs no models: returns the step execution order, each step's role/model/max_tokens and whether it pauses for a human checkpoint, the workflow's declared parameters (validated if you supply values), which required integrations your account already has credentials on file for, an upper-bound cost estimate, and definition_sha — a fingerprint of the definition this plan was built from, which tells you whether the definition changed between planning and running but never hands back the definition itself. Starts no session and records no usage. Use before run_workflow to check a pipeline fits before spending on it. Requires authentication.

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• render_mermaid

  Diagrams MCP

  Render a Mermaid diagram definition and return the image with metadata. The definition should be valid Mermaid syntax (e.g. flowchart, sequence, class, ER, state, or Gantt diagram). Returns a list of content blocks: the rendered image plus a JSON text block with metadata including a mermaid.live edit link for opening the diagram in a browser editor. Args: definition: Mermaid diagram definition text. filename: Output filename without extension. format: Output format — ``"png"`` (default), ``"svg"``, or ``"pdf"``. download_link: If True, return a temporary download URL path (/images/{token}) that expires after 15 minutes; if False, return inline image bytes. Defaults to True (URL) — set ``DIAGRAMS_INLINE_DEFAULT=true`` on the server to flip the default. SVG/PDF and PNGs larger than the inline limit always use a download link.

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• get_platform_info

  venumark

  What VenuMark is (the food vendor application and compliance platform for Florida events), how the workflow runs, current pricing tiers, and which tier fits an organizer. Use when someone asks about running vendor applications, pricing, or whether VenuMark fits their event.

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• list_applications

  FlowCastle

  List the applications this API key can access, with the caller role and the permissions it grants. Start here when using a personal API key (usr_...): every other tool needs an explicit applicationId, which this tool supplies. Read-only, takes no arguments. Returns an array of { id, name, role, permissions }; an empty array means the key is valid but belongs to no application yet.

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• list_apps

  Fine Structure

  List applications owned by the authenticated user, newest activity first. Returns up to `limit` apps per call plus the total count; page with `offset` when the account has more.

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• define_from_suttas

  Tripitaka MCP (hosted)

  Find how the **suttas and Vinaya define a Pāli term in their own words**. The canon defines its own terms with fixed formulas — "Katamañca … dukkhaṁ?" (what is X?) … "ayaṁ vuccati … dukkhaṁ" (this is called X), "X adhivacana" (X is a designation for …), or the Vinaya "X nāma". This tool locates those definitional passages and returns them **cited**, so the assistant can present the doctrinal essence straight from the source. 🧭 **This tool vs `get_word_definition`:** - **`define_from_suttas`** → the *doctrinal* definition, how the term is defined **inside the canon**. Use for "how do the suttas define X", "what is the canonical definition of X", "define X from the suttas". Returns a few precise segments, not a lexicon essay. - **`get_word_definition`** → the *lexical* definition from dictionaries (Payutto / PTS / DPPN). Use for etymology and word meaning. They complement each other — offer both when the user wants the full picture (dictionary sense + how the Buddha defined it). 📖 **How to present the result:** Results are ranked; the top one is usually the canonical definition. **Quote the Pāli (and English where present) verbatim** and render each `cross_reference.tripitaka_mcp_reader.segment_url` as clickable markdown so the user can verify. Do NOT paraphrase into your own definition — the point is the canon's own words. Each result is tagged `kind` (direct / simile) and `detail` (descriptive / enumerative); a *descriptive* definition characterises the term, an *enumerative* one lists its types — prefer the descriptive when explaining the essence. ⚠️ A result tagged `context: true` **does not contain the term in its own line**. The canon's stock similes attach to a formula rather than to a word: the four jhāna similes (bath powder, deep lake, lotus pond, white cloth) never say *jhāna*, they illustrate the `vivicceva kāmehi …` formula that opens the paragraph. Such rows are found through that paragraph, so **say so when quoting one** — present it as the simile the passage uses, not as a line that defines the term.

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• clusters.get

  AI Design Blueprint Doctrine

  Get one principle cluster by stable slug. Returns the cluster definition, shared rationale, and the full set of member principles (slug + title) so the caller can pivot into principles.get without a second list call. WHEN TO CALL: the user has already named a specific cluster (e.g. 'delegation', 'visibility', 'trust', 'orchestration') OR you have a slug from a prior clusters.list / principles.list response and need its full definition + member principles. The response embeds member principle slugs + titles already, so DO NOT loop principles.get over each member to get a cluster overview — read the response. WHEN NOT TO CALL: the user is describing a topic, failure mode, or keyword in natural language (call principles.search instead); the user wants to discover which clusters exist (call clusters.list); the user wants the definition of one specific principle (call principles.get directly). Idempotent + cacheable per slug. Returns 404-shaped error_payload on unknown slug — the slug must match exactly the value emitted by clusters.list, with no normalization.

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• calculate_lpa_cost

  estate-planning

  Calculate the Office of the Public Guardian fees to register Lasting Powers of Attorney in England & Wales: £92 per LPA (applications received from 17 November 2025), with a 50% remission where the donor's gross annual income is under £12,000 and a full exemption on certain means-tested benefits (both claimed with form LPA120). Registration fees only — nothing about drafting costs or whether an LPA is right for someone.

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• convert_gpa

  StudiePoint AI

  Convert a grade from any of 13 African grading systems to the international 4.0 GPA scale used by scholarship applications worldwide. Covers all 54 African countries. Also returns the grade class (e.g. 'First Class Honors') and how the GPA is interpreted in Germany, UK, France, USA/Canada, Australia, Netherlands, and Japan/Korea/China.

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• dataflow_structure

  Statec Lu

  Get the structure (Data Structure Definition) of one STATEC dataset: its ordered dimensions and, for each, the valid codes. Use this BEFORE get_data to learn how to build the dot-separated SDMX `key`. The key has one position per dimension, in `dimension_order`; an empty position is a wildcard. Example: dataflow_structure({ dataflow_id: "DF_A1100" }).

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• get_methodology

  Warmth Engine Observatory

  Look up the WEO methodology definition for any platform-specific term, field, or concept (e.g. "CC-V", "T2", "PAA", "ENT-1", "PIET"). Returns the term's definition, its section anchor, a deep link to that section of the published methodology, and the methodology version. Use to resolve any vocabulary the other tools return. Pass `term`; matching is exact-first, then substring, and an unknown term returns a sample of available terms.

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• lookup_term

  Arco Lexicon

  Returns the canonical Arco definition, related terms, and source URL for any Lexicon term. Supports fuzzy matching — "autonomous company" resolves to "Autonomous Business". Use this tool when you need a precise definition. Use suggest_terms instead when you have a block of text and want to discover which terms apply.

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• get_related_terms

  Arco Lexicon

  Returns the full relationship graph for a given Lexicon term. Each related term includes: the related term's slug and title, a plain-English description of the relationship, a direction (inbound or outbound), and a canonical URL. Read-only. No LLM calls. Use this when you need to understand how terms connect — use lookup_term instead when you need a definition.

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• get_api_endpoint

  mcp

  Get the machine-readable OpenAPI definition of one Applivery REST API endpoint: method, path, baseUrl, security, parameters, requestBody and responses — fully dereferenced, no $refs. Pass the `url` or `slug` of an API reference page; find those with search_docs using docType 'api'. Use this instead of get_doc_page when you need to construct or validate an actual API request.

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• get_listing_applications

  Human Pages

  View applications for your listing. Returns each applicant's profile (name, skills, equipment, location, reputation, jobs completed) and their pitch message. Use this to evaluate candidates, then hire with make_listing_offer. Only the listing creator can view applications.

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• llm_json_schema_check

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Validate that an LLM JSON output matches a JSON Schema definition. Tests required fields, types, enums, nested objects, and arrays. Critical for function-calling and structured output testing.

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• fda_complete_response_letters

  Openfda

  Search FDA-disclosed Complete Response Letters for drug and biologic applications. Defaults to letter_type "COMPLETE RESPONSE"; optionally include other letter types in the same dataset. Returns the application’s current approval_status, letter metadata, an excerpt, and the official document URL.

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