"Understanding the concept of identity" matching MCP tools:

• 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

• genereer_raadsstukA

  NeoDemosA

  Genereert een volledig opgemaakt, RvO-conformant concept voor één van de zeven raadsstuk­typen. Geen DB, geen netwerk, <10ms — puur structurele kennis. Gebruik deze tool wanneer: - Het raadslid een stuk wil indienen en een correct gestructureerd concept nodig heeft. - Je `adviseer_raadsinstrument` hebt gebruikt (welk instrument) en nu het daadwerkelijke stuk wilt renderen in het juiste format met RvO-verwijzingen. - Een concept al bestaat maar opnieuw in correct format moet worden gezet. Gebruik deze tool NIET wanneer: - Je het juiste instrument nog moet kiezen → gebruik eerst `adviseer_raadsinstrument`. - Je een bestaand concept wilt beoordelen op inhoud → `beoordeel_tekst`. - Je een format-validatie wil uitvoeren op een bestaand concept → `beoordeel_tekst` met `soort` gelijk aan het doc_type. ``doc_type`` keuzes: 'motie', 'motie_vreemd', 'amendement', 'schriftelijke_vragen', 'mondelinge_vragen', 'initiatiefvoorstel', 'interpellatieverzoek'. ``velden`` zijn optioneel — ontbrekende velden worden vervangen door invul-placeholders [zoals dit] zodat het concept altijd een compleet, geldig skelet is. ``gemeente`` bepaalt welk lokaal RvO-overlay (artikel­nummers, termijnen, indienings­route) wordt gebruikt. Default 'rotterdam'. Degradeert netjes naar het canonieke basis­format + disclaimer als er geen overlay beschikbaar is. Retourneert: markdown-concept in de juiste RvO-structuur, met RvO-artikel­citaat en disclaimer. **Volgende stap in de drafting-keten:** valideer het gegenereerde concept met `beoordeel_tekst(tekst=<concept>, soort=<doc_type>)` voordat je het presenteert of opslaat; sla daarna op met `sla_fractie_artifact_op(artifact_type=<doc_type>)`.

  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

• merge_semantic_conceptsA

  Entity EnricherA

  Merge a loser concept into a winner. Defaults to impact_only=true: inspect counts and affected replicas before obtaining approval to execute. impact_only=false requires owner and rewrites aliases, entity identities and referencing payloads, queuing convergence to linked replicas. No LLM call. Similarity alone does not establish identity; inspect get_semantic_concept and the judge review evidence first. Returns impact or merge results. See enricher://docs/semantic-ids.

  Connector

  Destructive

  OAuth

• 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

• room_identity_mintA

  Project RoomA

  Mint your own agent identity over MCP — no account, no invite, no leaving this MCP session. Returns the one-time identity secret, identityId, and an Ed25519 privateKey: save all three privately, they are shown once and never again. Send the secret as Authorization: Bearer <secret> on this same URL to unlock the enrolled room profile (post, work, replies, bonds). An identity alone grants nothing; a room owner links it before you can join. If your host cannot keep secrets, report that limitation instead of minting. After repeated mints from one address the server answers proof_required with the proof-of-work recipe — solve it and resend with proof. Mint once per agent; do not mint a second identity to work around an error.

  ConnectorNo auth

• connectA

  Penfield MemoryA

  Connect memories to build knowledge graphs. After using 'store', immediately connect related memories using these relationship types: ## Knowledge Evolution - **supersedes**: This replaces → outdated understanding - **updates**: This modifies → existing knowledge - **evolution_of**: This develops from → earlier concept ## Evidence & Support - **supports**: This provides evidence for → claim/hypothesis - **contradicts**: This challenges → existing belief - **disputes**: This disagrees with → another perspective ## Hierarchy & Structure - **parent_of**: This encompasses → more specific concept - **child_of**: This is a subset of → broader concept - **sibling_of**: This parallels → related concept at same level ## Cause & Prerequisites - **causes**: This leads to → effect/outcome - **influenced_by**: This was shaped by → contributing factor - **prerequisite_for**: Understanding this is required for → next concept ## Implementation & Examples - **implements**: This applies → theoretical concept - **documents**: This describes → system/process - **example_of**: This demonstrates → general principle - **tests**: This validates → implementation or hypothesis ## Conversation & Reference - **responds_to**: This answers → previous question or statement - **references**: This cites → source material - **inspired_by**: This was motivated by → earlier work ## Sequence & Flow - **follows**: This comes after → previous step - **precedes**: This comes before → next step ## Dependencies & Composition - **depends_on**: This requires → prerequisite - **composed_of**: This contains → component parts - **part_of**: This belongs to → larger whole ## Quick Connection Workflow After each memory, ask yourself: 1. What previous memory does this update or contradict? → `supersedes` or `contradicts` 2. What evidence does this provide? → `supports` or `disputes` 3. What caused this or what will it cause? → `influenced_by` or `causes` 4. What concrete example is this? → `example_of` or `implements` 5. What sequence is this part of? → `follows` or `precedes` ## Example Memory: "Found that batch processing fails at exactly 100 items" Connections: - `contradicts` → "hypothesis about memory limits" - `supports` → "theory about hardcoded thresholds" - `influenced_by` → "user report of timeout errors" - `sibling_of` → "previous pagination bug at 50 items" The richer the graph, the smarter the recall. No orphan memories! Args: from_memory: Source memory UUID to_memory: Target memory UUID relationship_type: Type from the categories above strength: Connection strength (0.0-1.0, default 0.5) ctx: MCP context (automatically provided) Returns: Dict with success status, relationship_id, and connected memory IDs

  ConnectorOAuth

• 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

• get_orderA

  Facet UCP ShoppingA

  Read back one of YOUR orders on this merchant: status, amount, settlement state. Use the order_id returned when you paid. You can only read orders your own agent identity placed — another agent's order returns FORBIDDEN. REQUIRES IDENTITY: Facet KYA as `Authorization: Bearer <kya>`.

  ConnectorNo auth

• get_truss_informationA

  TrussA

  Published Truss information by topic. Localized topics (overview, about, services, engagement, fit, faq) use locale, default en; pass he for Hebrew. Language-independent topics (identity, certifications, testimonials, clients, contact) ignore locale for content selection. Prefer get_truss_overview or topic overview for broad business understanding; prefer list_truss_services for the complete service catalog.

  ConnectorNo auth

• get_semantic_conceptA

  Entity EnricherA

  Read one concept's aliases, identity source keys, linked records and nearest neighbors within its own type/model slice. Record links are capped; records_truncated signals omitted links. neighbors_limit=0 skips neighbors. Use returned alias IDs with update_concept_alias and similarities to assess a proposed merge. No LLM call. Never compare similarities across embedding spaces or concept types. See enricher://docs/semantic-ids.

  ConnectorOAuth

• import_semantic_conceptsA

  Entity EnricherA

  Resolve 1..1000 texts against one concept type. mint=false returns exact/matched/would_mint outcomes without minting; mint=true creates misses and requires owner (reporting requires editor). Resolution can call embeddings and the identity judge even in report mode. Review would_mint rows before authorizing creation. A new type may be initialized with embedding_model; existing types cannot switch spaces through import. Returns per-text outcomes. See enricher://docs/semantic-ids.

  ConnectorOAuth

• schedule_deleteA

  RokhaB

  Delete one of your rig schedules by its schedule id (from schedule_list). The rig itself is untouched. Requires a logged-in identity.

  Connector

  Destructive

  No auth

• enrich_providerA

  apis-ioB

  One call, pick your field groups — resolves a slug OR any identifier and returns exactly the groups you ask for, instead of chaining get_provider + get_provider_rating + get_provider_artifacts + get_provider_onboarding. Groups: profile, onboarding, artifacts, rating, insights. Understanding plan — the base groups moved with the rest of the discovery layer on 2026-08-31. Priced B2 (cross-catalog synthesis) — $0.05 per call under pay-as-you-go; included in Understanding and Influence. See apis://prices.

  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

• insights_industriesA

  apis-ioB

  UNDERSTANDING — the demand-side industry rollup: the sectors the profiled companies fall into. Each row carries TWO counts and they answer different questions: `company_count` is the research roster, `profiled_count` is how many of those you can actually read back via find_company_insights(industry:) — size a cohort on profiled_count. The counterpart to find_industries, which counts SUPPLY (providers publishing APIs into a vertical) — this counts DEMAND (companies buying into it). Comparing the two is how you find a sector with buyers and no sellers. Priced B2 (cross-catalog synthesis) — $0.05 per call under pay-as-you-go; included in Understanding and Influence. See apis://prices.

  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