"Understanding the concept of identity" matching MCP tools:

• get_synset_info

  dannet

  Get comprehensive RDF data for a DanNet synset (lexical concept). UNDERSTANDING THE DATA MODEL: Synsets are ontolex:LexicalConcept instances representing word meanings. They connect to words via ontolex:isEvokedBy and have rich semantic relations. KEY RELATIONSHIPS (by importance): 1. TAXONOMIC (most fundamental): - wn:hypernym → broader concept (e.g., "hund" → "pattedyr") - wn:hyponym → narrower concepts (e.g., "hund" → "puddel", "schæfer") - dns:orthogonalHypernym → cross-cutting categories [Danish: ortogonalt hyperonym] 2. LEXICAL CONNECTIONS: - ontolex:isEvokedBy → words expressing this concept [Danish: fremkaldes af] - ontolex:lexicalizedSense → sense instances [Danish: leksikaliseret betydning] - wn:similar → related but distinct concepts 3. PART-WHOLE RELATIONS: - wn:mero_part/wn:holo_part → component relationships [English: meronym/holonym part] - wn:mero_substance/wn:holo_substance → material composition - wn:mero_member/wn:holo_member → membership relations 4. SEMANTIC PROPERTIES: - dns:ontologicalType → semantic classification with @set array of dnc: types Common types: dnc:Animal, dnc:Human, dnc:Object, dnc:Physical, dnc:Dynamic (events/actions), dnc:Static (states) - dns:sentiment → emotional polarity with marl:hasPolarity and marl:polarityValue - wn:lexfile → semantic domain (e.g., "noun.food", "verb.motion") - skos:definition → synset definition (may be truncated for length) 5. CROSS-LINGUISTIC: - wn:ili → Interlingual Index for cross-language mapping - wn:eq_synonym → Open English WordNet equivalent DDO CONNECTION FOR FULLER DEFINITIONS: DanNet synset definitions (skos:definition) may be truncated (ending with "…"). For complete definitions, use the fetch_ddo_definition() tool which automatically retrieves full DDO text, or manually examine sense source URLs via get_sense_info(). NAVIGATION TIPS: - Follow wn:hypernym chains to find semantic categories - Check dns:inherited for properties from parent synsets - Use parse_resource_id() on URI references to get clean IDs - For fuller definitions, examine individual sense source URLs via get_sense_info() Args: synset_id: Synset identifier (e.g., "synset-1876" or just "1876") Returns: Dict containing JSON-LD format with: - @context → namespace mappings - @id → entity identifier (e.g., "dn:synset-1876") - @type → "ontolex:LexicalConcept" - All RDF properties with namespace prefixes (e.g., wn:hypernym) - dns:ontologicalType → {"@set": ["dnc:Animal", ...]} (if applicable) - dns:sentiment → {"marl:hasPolarity": "marl:Positive", "marl:polarityValue": "3"} (if applicable) - synset_id → clean identifier for convenience Example: info = get_synset_info("synset-52") # cake synset # Check info['wn:hypernym'] for parent concepts # Check info['dns:ontologicalType']['@set'] for semantic types # Check info['dns:sentiment']['marl:hasPolarity'] for sentiment

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• need_human

  NeedHuman

  Call when you cannot proceed because the next step requires a real human. USE WHEN you are blocked by: - Terms of Service or legal agreements requiring a natural person - Account creation that needs identity verification or CAPTCHA - Authentication requiring human identity (BankID, SMS 2FA, OAuth) - Forms requiring human verification or a physical-world action - Content behind a login wall you cannot access - Any step requiring legal personhood, physical presence, or human identity DO NOT USE for: sending messages, making HTTP requests, writing code, or any task you can complete with your existing tools. The human is a paid worker (billed per task), not your operator. Never include passwords, card numbers, CVCs, bank account numbers, SSNs, authentication tokens, or API keys in the description. If a task requires payment, tell the human what to pay for and where — they will use their own payment method. Format your description as numbered steps, one instruction per line. Put each URL on its own line. End with "REPLY WITH:" listing expected deliverables. Example: STEPS: 1. Create account at https://example.com/signup 2. Accept the terms of service. REPLY WITH: confirmation URL, account ID Free tier included on registration. Each task costs 1 credit. Returns 402 when credits are exhausted. Fastest during European business hours (CET). Tasks submitted outside these hours may take longer. Typical completion: 2-30 minutes. Use check_task_status to poll. Set demo:true for an instant synthetic response to verify your integration works. No credits consumed.

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• about_emora

  mental-health-care

  [Step 1 of explore_information · optional] Identity, services, states served, insurance accepted, age ranges, key facts, crisis resources, and links. Combined site-info + services catalog. Use when: The user asks "what is Emora?" / "what services do you offer?" / "which states?" / "what insurance?" — this is the canonical "tell me about you" call. Don't use when: You already have site context from a previous call this session — Emora identity is stable, no need to re-fetch. Example: about_emora({})

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• connect

  Penfield Memory

  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

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• get_microsite_info

  library

  Identity, audience, focus, sponsor relationship, crisis routing, and links for Psychiatry for Kids. Always safe to call when the agent needs site-level context.

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• validate_cc_co

  LatAm Business Tools

  Validates the format of a Colombian Cédula de Ciudadanía (CC) — the national identity document for Colombian citizens. Verifies that the number is between 6 and 10 digits as required by the Registraduría Nacional. Returns { valid: boolean, cc: string } or { valid: false, reason: string }. Use when processing Colombian individual tax filings, employment contracts, or KYC onboarding flows requiring a verified Colombian citizen ID. Note: checksum validation is not publicly available for CC numbers.

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• create_rai

  connect

  Generate a Record of Art Identity (RAI) PDF for a work. Returns a download URL and UWI (Universal Work Identifier). The RAI is the signed, portable, verifiable identity of the work. Use search_natural_language to find the work_id by title — never ask the user for it. After success, ask if they'd like to see the full work record — then call get_work to show the visual card.

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• register_agent

  prxhub

  TIME-CRITICAL + HUMAN-IN-THE-LOOP. The device code returned by this tool expires in 10 minutes (600 seconds). The whole flow REQUIRES a human user to click the approval URL in a real browser before register_agent_poll can ever return approved. If you are running headless / unattended / in CI / inside a test harness with no human watching, do NOT call this — it will hang for 10 min and then fail with expired_token, and any work you do in between is wasted. Surface the verification_uri_complete to the user IMMEDIATELY (print it on its own line, prefix it with 'Click to approve:'), and do not interleave other research / tool calls until you've at least shown the URL. DO NOT CALL THIS BLINDLY. Before calling register_agent, check for an existing identity on disk. The lookup order is: 1. $PRXHUB_AGENT_CONFIG (explicit per-process override — respect this before anything else; test harnesses and CI set it to isolate identities) 2. $XDG_CONFIG_HOME/prx/agent.json 3. $HOME/.config/prx/agent.json If the resolved file exists with an unexpired bearerToken, USE IT and skip this tool entirely. Calling register_agent when an identity already exists creates duplicate agent accounts for the same user + machine. Call this ONLY when (a) no identity file exists at the resolved path AND (b) a human is available to click the approval URL. Proposes a slug + display name; the human approves in-browser, optionally renaming the agent. Returns a device code + a pre-filled approval URL. Then call register_agent_poll to wait for approval. Agents do NOT hold signing keys. prxhub signs bundles server-side on your behalf when you publish with your bearer token. ON SUCCESS, after register_agent_poll returns status='approved', write the returned identity to the SAME path you resolved for the read (i.e. $PRXHUB_AGENT_CONFIG if set, else $XDG_CONFIG_HOME/prx/agent.json, else $HOME/.config/prx/agent.json), with mode 0600 and this exact shape: { agentSlug, agentId, bearerToken, bearerExpiresAt, createdAt } NEVER write to $HOME/.config/prx/agent.json when $PRXHUB_AGENT_CONFIG is set — that path is intentionally isolated per process by the harness / CI, and writing elsewhere leaks your identity to sibling processes. ALSO: once register_agent_poll returns approved, your CURRENT MCP session is already authenticated as the new agent (the server bound the session id to your agent; the next MCP call you make will resolve as the agent, no Authorization header update needed). The agent.json persistence is for FUTURE sessions on this machine, not for authenticating the current session.

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• get_caller_identity

  Name Whisper — ENS Intelligence Layer

  Returns the authenticated identity of the calling agent. If you connected with ERC-8128 signed requests, this resolves your wallet address to your ENS name, agent metadata, and portfolio summary. Call this first to confirm your identity is recognized. Requires ERC-8128 authentication (signed HTTP requests). See GET /mcp/auth for setup details.

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• create_rai_request

  connect

  Submit a request asking an artist for a verified RAI (Record of Art Identity) of a specific work. Use when the user is acting as a buyer, gallery, insurer, advisor, or auction house and needs authentication from the artist. TRIGGER: "ask [artist] for a verified record," "request an RAI from [artist]," "I need authentication for this work from [artist]," "get the official record from the artist." If the target artist is not yet on Raisonnai, their email auto-creates an invitation so they can respond. The requester receives a status link by email. Confirm all details (including target artist email) with the user before calling.

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• scheduling_book

  Servicialo MCP Server

  Book a session (Servicialo spec). Returns confirmation_credential (opaque token, valid 30 min) and booking_id. Use scheduling_confirm with the credential to finalize. Does NOT require an API key — uses requester identity (fullName + email or phone). Accepts optional submission context for audit trail.

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• search_icons

  Supericons

  Search 20,000+ free icons across 10 libraries by meaning, label, visual description, tags, and synonyms. Use this when the user describes an icon concept such as "database", "user profile", "chill", "security", or "AI model". Returns matching icons with SVG code and public semantic guidance.

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• em_register_identity

  execution-market-mcp

  Register a new ERC-8004 identity on-chain (gasless via Facilitator). The Facilitator pays all gas fees. The minted ERC-721 NFT is transferred to the specified wallet address. Args: wallet_address: Wallet address to register and receive the NFT mode: Must be "gasless" (only supported mode) network: ERC-8004 network (default: "base") Returns: Registration result with agent_id and transaction hash.

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• register_agent

  MERX - TRON Resource Exchange

  Register your TRON address as an agent on agent.merx.exchange. Required ONCE before using request_payment, create_invoice, watch_address, agent_status, or any other agent payment tool. Pass the TRON address you want to use as the on-chain identity for this API key. Idempotent — calling twice with the same key returns the existing registration. Auth required (API key).

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• get_knowledge_stats

  mcp-klever-vm

  Get summary statistics of the Klever VM knowledge base. Returns total entry count, counts broken down by context type (code_example, best_practice, security_tip, etc.), and a sample entry title for each type. Useful for understanding what knowledge is available before querying.

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• list_error_codes

  Trillboards DOOH Advertising

  List every error code in the Trillboards API error catalog. WHEN TO USE: - Understanding what error codes the API can return. - Building a client-side error handler that covers all cases. - Looking up error types, HTTP statuses, and documentation URLs. RETURNS: - object: "list" - data: Array of { code, type, http_status, description, doc_url } - total: Total number of error codes. Equivalent to GET /v1/errors but executed in-process (no HTTP round-trip). EXAMPLE: Agent: "What error codes can the API return?" list_error_codes()

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• describe_table_tool

  Wherobots

  Describe a specific table. ⚠️ WORKFLOW: ALWAYS call this before writing queries that reference a table. Understanding the schema is essential for writing correct SQL queries. 📋 PREREQUISITES: - Call search_documentation_tool first - Use list_catalogs_tool, list_databases_tool, list_tables_tool to find the table 📋 NEXT STEPS after this tool: 1. Use generate_spatial_query_tool to create SQL using the schema 2. Use execute_query_tool to test the query This tool retrieves the schema of a specified table, including column names and types. It is used to understand the structure of a table before querying or analysis. Parameters ---------- catalog : str The name of the catalog. database : str The name of the database. table : str The name of the table. ctx : Context FastMCP context (injected automatically) Returns ------- TableDescriptionOutput A structured object containing the table schema information. - 'schema': The schema of the table, which may include column names, types, and other metadata. Example Usage for LLM: - When user asks for the schema of a specific table. - Example User Queries and corresponding Tool Calls: - User: "What is the schema of the 'users' table in the 'default' database of the 'wherobots' catalog?" - Tool Call: describe_table('wherobots', 'default', 'users') - User: "Describe the buildings table structure" - Tool Call: describe_table('wherobots_open_data', 'overture', 'buildings')

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• get_microsite_info

  library

  Identity, audience, focus, sponsor relationship, crisis routing, and links for Psychiatry for Teens. Always safe to call when the agent needs site-level context.

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• clinicaltrials_get_field_definitions

  clinicaltrialsgov-mcp-server

  Discover valid field names from the ClinicalTrials.gov data model. Call this FIRST when you need to know which field names to use in `fields`, `advancedFilter`, or `sort` parameters of other tools, or as input to clinicaltrials_get_field_values. Three usage modes: pass `query` for keyword search by concept (e.g., "enrollment", "sponsor", "adverse events") returning a ranked list of matches; pass `path` for drill-down into a section by dot-notation (e.g., "protocolSection.designModule") returning its individual fields; omit both for a top-level overview of all sections. Returns canonical PascalCase identifiers like OverallStatus, EnrollmentCount, LeadSponsorName — the exact names the API accepts.

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• get_project_profile

  Peec AI MCP Server

  Read a project's brand profile — the description, industry, brand-identity adjectives, target markets, audience distribution, and product/service list that Peec uses to generate prompt suggestions. Returns { profile } where profile may be null if the project hasn't been profiled yet. Call this before set_project_profile so you can show the user the current values.

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