"A server for exploring the concept of thinking" matching MCP tools:

• query_knowledge_graphA

  Analytics Legends — SAP Analytics IntelligenceA

  The RELATIONS between the platform's teaching objects — which Academy module teaches which concept, which study covers which module, what a concept relates to. THIS IS THE ONLY TOOL ON THIS SERVER THAT SERVES EDGES; the others serve rows. Ask it what connects to what, not what exists. SCOPE, AND IT IS NARROWER THAN 'the knowledge graph': it carries four node types — `concept`, `module`, `study`, `vendor` — and every edge whose BOTH endpoints are one of them. The whole graph holds twelve node types; the eight it does not carry are each either served by their own tool or named as not served at all, and `_meta.excluded_node_types` says which per type (consultant data is served at NO tier), so a missing type is a documented boundary and never a silent gap. Call it with `node_id` (e.g. `module:M178`, `concept:C001`, `study:ai-impact-2026-EN`) to walk one node's neighbourhood; with `node_type` and/or `query` to find a node id first. `edge_type` and `direction` narrow a walk. Read `_meta.available_edge_types` — computed from the served projection on every call — before assuming an edge type exists.

  ConnectorNo auth

• describe_servicesA

  Venture Insights Concept DiagnosticA

  Get Venture Insights' live service catalogue: the FREE Concept Diagnostic (a research-backed viability study of one venture concept, delivered to the founder's inbox) and the paid study tiers with live SAR prices. Call this first when your user asks what Venture Insights offers, what it costs, or whether the free diagnostic is worth requesting.

  ConnectorNo auth

• get_leadproof_evaluation_pathA

  LeadProof Sales AgentA

  Use first when a buyer is exploring LeadProof without supplying workflow data. Returns the official no-purchase sequence: buyer guide, fictional example audit, browser-only calculator, public workflow tests, and no-card trial. For a scored workflow diagnosis, use audit_lead_workflow; for replay testing, use get_leadproof_replay_trial; for paid checkout, use get_leadproof_checkout only after authorization.

  ConnectorNo auth

• add_semantic_conceptA

  Entity EnricherA

  Add an identity concept at zero usage, or add text as an alias using alias_of. Requires editor; resolution may incur embedding/judge cost. Probe first; if the text already resolves to an incumbent, offer that concept instead of blindly retrying. Aliases resolving to another concept are refused. embedding_model selects a new type's space only. Returns concept details and link; manage existing aliases with update_concept_alias. See enricher://docs/semantic-ids.

  ConnectorOAuth

• search_recipesA

  weReciA

  Search the recipe collection semantically (dense + ColBERT hybrid) to gather the members of a theme. Pass a rich natural-language concept, not just a keyword — e.g. 'cozy cold-weather baked desserts', 'bright summer salads with fresh vegetables', 'Latin American and Caribbean mains', 'anything featuring apples'. Returns up to `limit` compact hits {id,title,cuisine,dietary,cookbook}. Call once per theme concept; call again with a broader/narrower query if a group is too small or too big. Do NOT rely on cuisine labels alone — many recipes are unlabelled and only reachable by concept search.

  ConnectorOAuth

• talonic_list_fieldsA

  Talonic - Data Extraction MCP

  List the workspace's Field Registry — the canonical concepts Talonic has discovered across every ingested document, each with a stable id, maturity level, data type, synonyms and occurrence count. USE WHEN: you need to know WHAT data exists before querying it, want to pick the right concept for a question, or need the exact field id for talonic_get_field / talonic_field_values. NOT FOR: locating a specific document (talonic_search) or filtering documents by a value (talonic_filter). ARGS: `search` (case-insensitive contains on name), `maturity` (core | proven | candidate — prefer `core`/`proven` for anything you will build on), `include_superseded` (default false: rows merged into another concept are hidden so you never see two ids for one concept), `limit`, `cursor`. RETURNS: data[] of { id, canonical_name, display_name, data_type, maturity, tier, synonyms, description, occurrence_count, superseded_by, links } plus cursor pagination.

  ConnectorOAuth

• create_studyA

  User IntuitionA

  Create an in-depth-interview, concept-test, or prototype-test draft using ordinary metadata only. Ask the human to explicitly choose recruiting_method (panel, BYOP, or synthetic respondents). A value proposed or inserted by a host/delegating model is not human confirmation unless it quotes the human's actual choice. Unless the human requests otherwise, use a voice interview in English with Elliot; these defaults are applied when interview_format, language, or voice are omitted. Synthetic respondents require chat. A prototype-test must use video or voice, never chat. Do not draft or pass the study plan, audience targeting, screener questions, concept links, or concept images here; after creation, send the user's natural-language research brief to customize_study. For a concept test, pass an accessible attachment through customize_study.concept_image or include a publicly downloadable concept-image URL in the message, plus its participant-facing label, stimulus context, audience, and learning goals. For a prototype test, include the prototype URL, participant-facing label, intended tasks, audience, and learning goals. The Customize Plan backend validates and attaches the asset. Voice configuration is kept for chat as well as voice and video.

  ConnectorOAuth

• aidefense_locate_conceptA

  website-searchA

  Reverse-lookup a single concept ID (MITRE ATLAS technique like 'AML.T0051', OWASP LLM Top 10 risk like 'LLM01', OWASP Agentic Top 10 issue like 'ASI03', or ISO 42001 Annex A clause like 'A.6') across the AI Defense Matrix. Returns which framework the concept belongs to, the asset rows whose alignment cites it, the cells whose evaluation cellPrompts cite it, and those prompts themselves. Useful when a vendor's product is defined by a specific technique ('we defend AML.T0051') and they need to find which matrix cells to claim. Recognizes only concepts with structured IDs; for prose-only frameworks (NIST IR 8596, CSA AICM, Google SAIF, OWASP AI Exchange) use aidefense_get_framework_alignment instead. This server never requests your program docs or product roadmap and instructs your AI to keep them local—the matrix, framework alignments, and playbooks flow to your AI for local analysis.

  ConnectorNo auth

• secedgar_get_snapshotA

  secedgar-mcp-serverA

  Build a company financial profile in one call: the latest value of every supported XBRL concept, grouped by statement. Reads the filer's complete companyfacts payload once rather than one request per concept, so it replaces a run of secedgar_get_financials calls when the question is "what do this company's financials look like right now". Values use the same frame dedup and tag priority as secedgar_get_financials, so the two agree for any concept they both cover. Duration concepts (income statement, cash flow, per-share) report their latest full year and latest single quarter; balance-sheet and entity-info concepts report their latest point-in-time value, since that is the only form they are filed in. A concept the filer does not report is listed under gaps with the XBRL tags that were tried — never zero-filled or interpolated. Use secedgar_get_financials for a full time series of one concept, and secedgar_compare_companies to put several companies side by side.

  ConnectorNo auth

• thumbnail_creationA

  x402vid AI Intelligence & Channel Growth for YouTube VideosA

  Render a YouTube thumbnail from your photo + concept ($0.50 premium). Slow call — allow up to 5 minutes. Filter rejections are never charged. Composite a photo into the thumbnail_concept layout via Muse Image. Give image_prompt directly (from thumbnail_concept) or a video_url to derive the concept first, then render. Photo is optional: omit image_b64/image_url with a video_url and the video's own thumbnail is used as the base (keeps faces, restyles the rest). Prefer image_url over image_b64 — the server downloads the bytes so agents never shuttle base64 through tool arguments.

  ConnectorNo auth

• generate_imageA

  ai-content-dropA

  Make an AI image: a product still, a thumbnail, a poster, concept art, or a reference frame to animate later. Requires a quote_id from estimate_credit_cost so the price is agreed first; then returns a job id to poll with get_generation (kind "image"). Credits are charged only when the image succeeds. SIGN-IN REQUIRED: connect this server with OAuth (the host prompts for it), or add an API key header "Authorization: Bearer acd_live_…" created at https://aicontentdrop.com/settings/integrations.

  ConnectorNo auth

• eurlex_browse_subjectsA

  eur-lex-mcp-serverA

  Search the EuroVoc thesaurus, resolving a keyword into concept URIs usable in the eurovoc_concept subject filter of eurlex_search_documents. Matches both preferred and alternative (non-preferred) labels, so a common synonym reaches the concept it stands for. Returns each concept URI, its preferred label in the requested language, code, broader (parent) label, and the alternative label that matched when one did. Concepts with an exact label match come first, then those whose label or one of its words starts with the keyword, then other substring matches, each group ordered by preferred label.

  ConnectorNo auth

• open_diagnostic_intakeA

  Venture Insights Concept DiagnosticA

  Show the founder an interactive intake form to start their FREE Concept Diagnostic. PREFER calling this over asking for the founder's name, email and concept one message at a time — it collects everything in one card and starts the diagnostic on submit. Call it as soon as the user wants to start, or check the viability of, an idea. The form is deliberately collected FRESH from the founder and starts BLANK — it does NOT accept or pre-populate remembered details, so the founder always enters (and sees) their own name, email and concept. This keeps the destination email accurate (one free diagnostic per founder, emailed to the address they type). Takes no arguments.

  ConnectorNo auth

• get_xbrlA

  Edgrapi — US Government Data APIA

  The full XBRL-to-JSON converter. By default returns a company's normalized income statement, balance sheet and cash flow across every reported period, plus a concept index of every us-gaap/dei tag it reports. Pass `concept` to pull the raw time series for any specific tag(s) beyond the curated fundamentals; pass `accession` for every concept reported in one specific filing.

  ConnectorNo auth

• get_xbrlA

  edgrapi-skillsA

  The full XBRL-to-JSON converter. By default returns a company's normalized income statement, balance sheet and cash flow across every reported period, plus a concept index of every us-gaap/dei tag it reports. Pass `concept` to pull the raw time series for any specific tag(s) beyond the curated fundamentals; pass `accession` for every concept reported in one specific filing.

  ConnectorNo auth

• probe_semantic_conceptA

  Entity EnricherA

  Preview identity resolution without adding a concept or increasing its usage. Requires editor; uncached resolution may call embeddings and the identity judge. Returns exact_hit, match or no_match, the matched concept and neighbors. Probe before adding; a matched incumbent may already represent the intended entity. embedding_model can select the space for a new concept type, not change an existing type's space. Inspect judge evidence as well as similarity. See enricher://docs/semantic-ids.

  ConnectorOAuth

• talonic_get_fieldA

  Talonic - Data Extraction MCP

  Get the CONCEPT CARD for one Field Registry field: what it means (curated description + extraction instruction), its synonyms and aliases, maturity, where it occurs (document/occurrence counts, first/last seen, document-type spread), its value distribution (top values with counts, distinct count, examples), schema usage, and identity links (superseded_by, absorbed concepts). USE WHEN: you must decide whether a field is the right concept for a question, need example values or the value shape before writing a filter, or hold a field NAME from the user and need the live concept behind it. NOT FOR: listing many fields (talonic_list_fields) or reading every value (talonic_field_values). ARGS: exactly one of `field_id` or `name`. Names are resolved through canonical name → spelling fold → merge aliases → synonyms (then case-insensitive fallbacks) and followed to the live concept; the response says which arm matched. `include_history: true` appends the curation trail (merges, renames, maturity moves). RETURNS: the card { id, canonical_name, maturity, data_type, definition, identity, occurrence, values, usage, links } plus `resolution` when a name was given and `history` when requested.

  ConnectorOAuth

• list_categoriesA

  raumnebenanA

  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.

  ConnectorNo auth

• worldbank_get_indicatorA

  worldbank-mcp-serverA

  Fetch metadata for one World Bank indicator by ID: name, description, unit, source dataset, source organization, and thematic topics. Use worldbank_search_indicators to find the ID when only the concept is known; "all" and lists of IDs are rejected.

  ConnectorNo auth

• search_topicsA

  trendflowA

  Resolves a name — a company, product, person, technology, or concept — to its Google Trends topic id (`mid`), with a `type` field that distinguishes same-name entities such as Nike the company from Nike the goddess. A topic aggregates every spelling and translation of one concept, so it measures considerably more search activity than a literal phrase: the topic for "artificial intelligence" scores 62 where the literal string scores 1. The other TrendFlow tools accept a topic id anywhere they accept a keyword.

  ConnectorNo auth

• bioportal_classA

  BioportalA

  Full record for one ontology class by its IRI — preferred label, every synonym, the curated definition, semantic types, obsolescence flag, and links to parents and children. AUTHORITATIVE for the canonical meaning of a coded concept. Pass the ontology acronym and the class IRI exactly as bioportal_search returned it.

  ConnectorNo auth