127,424 tools. Last updated 2026-05-05 16:24
"namespace:io.github.gsc-em" matching MCP tools:
- Get available actor roles per regulation with obligation counts. Actor roles define WHO an obligation applies to within a specific regulation (e.g. 'credit_institution', 'significant_institution' for CRD/CRR, or 'ai_provider', 'high_risk_deployer' for AI Act). Use this to discover which roles exist before filtering obligations with get_obligations(actor_role=...). Returns roles grouped by regulation, sorted by obligation count. Each role includes a human-readable label and description. Args: regulation: Filter to a specific regulation code (e.g. 'dora', 'ai_act'). If omitted, returns roles for all regulations.Connector
- Search the regulatory corpus using keyword / trigram matching. Uses PostgreSQL trigram similarity on document titles and summaries. Returns documents ranked by relevance with summaries and classification tags. Prefer list_documents with filters (regulation, entity_type, source) first. Only use this for free-text keyword search when structured filters aren't sufficient. Args: query: Search terms (e.g. 'strong customer authentication', 'ICT risk', 'AML reporting'). per_page: Number of results (default 20, max 100).Connector
- Get an overview of the Velvoite regulatory corpus. Returns document counts by source, regulation family, entity type, urgency distribution, obligation summary, and date range. Call this FIRST to orient yourself before running queries. No parameters needed.Connector
- Get the calling company's regulatory posture — saved entity types, actor roles per regulation, and active conditions. The profile defines WHICH regulations and roles apply to this company. Use the actor_roles to filter obligations with get_obligations(actor_role=...). The profile is the baseline — you can extend beyond it using get_actor_roles() to discover additional roles if your analysis suggests they may be relevant. If the profile is empty (profile_complete=false), the company hasn't completed onboarding yet. Guide them to set up their profile at app.velvoite.eu/account. No parameters needed — the profile is determined by the API key. Returns: company_name: Company name jurisdictions: Active jurisdictions (always includes 'eu') profile: entity_types: List of entity type codes (e.g. ['credit_institution']) actor_roles: Dict of regulation_code -> list of role codes (e.g. {'dora': ['financial_entity'], 'ai_act': ['ai_deployer']}) conditions: Dict of regulation_code -> list of active conditions (e.g. {'dora': ['uses_ict_third_party'], 'ai_act': ['always']}) profile_complete: Whether the company has selected at least one actor roleConnector
- Get enforcement decisions with structured penalty data. Returns enforcement actions (fines, warnings, license withdrawals) imposed by regulators. Each action includes penalty amount, sanctioned entity, violation categories, and appeal status. Use this to answer questions like: - "What fines has FIN-FSA given to credit institutions?" - "What are the largest penalties for AML violations?" - "Has anyone been fined for ICT risk management failures?" - "What's the total penalty exposure for my entity type?" Combine with get_company_profile to find enforcement actions relevant to the caller's entity type and regulations. Args: regulation: Filter by regulation code (e.g. 'aml', 'dora', 'mifid2', 'gdpr', 'crd_crr'). entity_type: Filter by sanctioned entity type (e.g. 'credit_institution', 'investment_firm', 'crypto_service'). authority: Filter by sanction authority (e.g. 'FIN-FSA', 'ECB', 'Data Protection Ombudsman'). penalty_min: Minimum penalty amount in EUR (e.g. 1000000 for fines >= EUR 1M). violation_category: Filter by violation type (e.g. 'aml_cdd', 'ict_risk', 'sca', 'governance', 'conduct'). page: Page number (default 1). per_page: Results per page (default 20, max 100).Connector
- Get deduplicated canonical obligations with enforcement intelligence. Returns one obligation per unique legal requirement per actor role. Each includes compliance difficulty, guidance, and enforcement metrics. Use this instead of get_obligations when you want a clean, deduplicated view of what a regulated entity must comply with, enriched with enforcement risk data. Args: regulation: Filter by regulation code (e.g. 'dora', 'mica', 'aml'). actor_role: Comma-separated actor roles (e.g. 'credit_institution,significant_institution'). entity_type: Filter by entity type code (e.g. 'credit_institution'). compliance_difficulty: Filter by difficulty: 'low', 'medium', 'high', 'critical'. min_enforcement_count: Only return obligations with at least this many enforcement actions. sort: Sort order. Options: 'enforcement_count_desc' (default), 'compliance_difficulty_desc', 'regulation', 'actor_role'. page: Page number (default 1). per_page: Results per page (default 20, max 100).Connector
Matching MCP Servers
- AlicenseAqualityBmaintenanceFeriados Brasileiros direto no seu agente de IA, consulte feriados nacionais, estaduais e municipaisLast updated923MIT
- AlicenseAqualityBmaintenanceDigital identity layer for AI — your bio, career, skills, interests, and projects always available to every AI tool. Auto-generates profile from 342+ public APIs, 13 real-time plugins, YAML-based profiles with privacy-first local storage.Last updated2523MIT
Matching MCP Connectors
A2A MCP & CPG Rails: HBPC (Hygiene + Beauty Personal Care) procurement and ESG.
GitHub MCP — wraps the GitHub public REST API (no auth required for public endpoints)
- Lista todos os feriados de uma cidade brasileira (feriados nacionais + estaduais + municipais). Use quando o usuário perguntar sobre feriados em uma cidade específica. Requer o código IBGE do município. Se não souber o código IBGE, use primeiro a tool 'buscar_municipios' para encontrá-lo. Exemplos de códigos IBGE: São Paulo = 3550308, Rio de Janeiro = 3304557, Belo Horizonte = 3106200, Brasília = 5300108.Connector
- Registra uma SOLICITACAO de visita a um imovel. Requer id do imovel, nome do visitante, telefone ou email, data preferida e periodo (manha/tarde/noite). A solicitacao e enviada pra imobiliaria responsavel, que entra em contato pra confirmar. Nao confirma visita nem reserva horario por conta propria.Connector
- Get top enforced canonical obligations. Returns obligations ranked by enforcement activity for risk prioritization. This is a focused view of canonical obligations filtered to only those with at least one enforcement action. Use this to identify which obligations regulators are actively enforcing. Args: regulation: Filter by regulation code (e.g. 'dora', 'mica', 'aml'). actor_role: Comma-separated actor roles (e.g. 'credit_institution,significant_institution'). entity_type: Filter by entity type code (e.g. 'credit_institution'). compliance_difficulty: Filter by difficulty: 'low', 'medium', 'high', 'critical'. min_enforcement_count: Minimum enforcement actions (default 1 — only enforced obligations). sort: Sort order (default 'enforcement_count_desc'). page: Page number (default 1). per_page: Results per page (default 20, max 100).Connector
- 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.Connector
- Get recently published or updated regulatory documents. Shortcut for 'what is new this week' - returns documents from the last N days, sorted by publication date (newest first). Useful for weekly regulatory briefings. Args: days: Look back N days (default 7). entity_type: Filter by entity type code. regulation: Filter by regulation family code. urgency_max: Only include items at or above this urgency (1=critical, 2=high, etc.).Connector
- Browse published Bible verse collections. Search by keyword, filter by language, sort by popularity. Args: search: Search term to filter by name, description, or publisher name. language: Language code prefix (e.g. "en", "de", "ja", "zh"). ordering: Sort order: -downloads (default), -created, name. limit: Number of results (1-100, default 20). offset: Starting position for pagination.Connector
- Browse regulatory documents with filters and pagination. Returns a paginated list of documents with summaries, tags, doc_purpose (regulation_text, enforcement, reference, irrelevant), and doc_jurisdictions (e.g. ['eu'], ['fi'], ['de']). Use this for filtered browsing (e.g. all DORA documents from the last 30 days). Use search_regulations instead when you have specific keywords to search for. Args: source: Filter by data source code: eur_lex, eba, esma, eiopa, finfsa, bafin. regulation: Filter by regulation family code: dora, mica, aml, mifid2, crd_crr, psd, csrd, sfdr, ai_act, emir, solvency, idd, gdpr. entity_type: Filter by entity type: credit_institution, payment_institution, e_money, investment_firm, fund_manager, aifm, insurance, pension, crypto_service, crowdfunding, credit_servicer. urgency_max: Max urgency level (1=critical, 2=high, 3=medium, 4=low, 5=informational). E.g. 2 returns only critical and high urgency items. days: Only return documents from the last N days (1-365). page: Page number (default 1). per_page: Results per page (default 20, max 100).Connector
- Get regulatory obligations - specific requirements extracted from regulations. Each obligation includes the requirement text, applicable article reference, deadline, which entity types it applies to, actor roles, and current status. Results are paginated (max 50 per page). Supports keyword search via the query parameter (trigram + ILIKE matching on obligation text). Combine with regulation, entity_type, and actor_role filters for precise results. Set canonical=True to get deduplicated canonical obligations with enforcement intelligence instead. Canonical obligations return one entry per unique legal requirement per actor role, with compliance difficulty and enforcement metrics. Use get_actor_roles first to discover available actor roles per regulation. Args: entity_type: Filter by entity type code (e.g. 'credit_institution', 'payment_institution'). regulation: Filter by regulation code (e.g. 'dora', 'mica', 'aml'). status: Filter by status: 'upcoming', 'active', 'overdue', or 'expired'. query: Keyword search on obligation text (e.g. 'ICT risk', 'strong customer authentication'). actor_role: Comma-separated actor roles to filter by (e.g. 'credit_institution,significant_institution'). Use get_actor_roles to see available roles. canonical: If True, return deduplicated canonical obligations with enforcement intelligence instead of raw obligations. page: Page number (default 1). per_page: Results per page (default 20, max 50).Connector
- Get obligation counts grouped by regulation_code. Returns total count and per-regulation breakdown with status counts (active, upcoming, overdue, expired) plus verified and with_deadline counts. No full obligation text — just counts for a quick overview. Args: entity_type: Filter to obligations applying to this entity type (e.g. 'credit_institution', 'payment_institution'). actor_role: Comma-separated actor roles to filter by (e.g. 'financial_entity,credit_institution'). Use get_company_profile to see the company's roles, or get_actor_roles to browse all available roles.Connector
- Get full details of a published collection including all verse text, references, and topics. Args: collection_id: The collection ID (from browse_collections results).Connector
- Search for products available in the German dm-drogerie market (online and local stores). USE WHEN: searching dm-drogerie products by name, category, ingredient, property, or any natural language query (any language supported). Often answers questions about ingredients and properties directly. Covers: dm-drogerie markt brands, make-up, skincare, perfume, hair, health, nutrition, baby & child, household, home & living, photo, and pets. OUTPUT: Returns a maximum of 15 products. GTIN, DAN, brand, title, details, category, price, appLink (direct product URL), description, highlights/USPs, and extensive attributes including: - Dietary/Allergen: vegan, vegetarian, bio, glutenFree, lactoseFree, sugarFree, nutFree, soyFree - Cosmetic Ingredients: fragranceFree, alcoholFree, parabenFree, sulfateFree, preservativeFree, dyeFree, oilFree, siliconeFree, naturalCosmetics - Product Properties: waterproof, new, limitedEdition, sellout, onlineOnly, exclusiveDm, dmBrand, purchasable NOT FOR: nutritional information (calories, protein, carbs, fats), complete allergen lists, full ingredient details. For these, use 'getProductDetails' tool with the GTINs or DANs. LIMITATIONS: Only make claims based on EXPLICITLY stated product highlights/descriptions. Do NOT extrapolate or assume properties not mentioned in the results.Connector
- Audit the actor role taxonomy: compare model-defined roles vs deployed roles in the database. Returns per-regulation analysis showing: - model_only: roles the enrichment model can produce but aren't in the DB yet (gap) - deployed_only: roles in the DB but not in the model (unexpected — data quality issue) - role_counts: each deployed role with obligation count - known_issues: overlaps, naming issues, investigation items Use this for QA validation of the actor role taxonomy. Requires admin API key. No parameters needed — returns full corpus audit.Connector
- Get verification progress for obligations across all regulations. Returns total, verified, unverified counts overall and per regulation, with percentage verified. Use this to track human review progress. No parameters needed.Connector
- Get the user's current real-world location from their phone's GPS. Use this whenever the user asks where they are, where their phone is, what their current address is, where they parked, where they last were, or any question about their present location. Returns the most recent GPS ping with latitude, longitude, accuracy in meters, a timestamp, a human-readable relative age (e.g. "3m ago"), and a reverse-geocoded street address. The data comes from the Geolocate Me app running on the user's phone — it is NOT a general-purpose location lookup service and only works for the device that authenticated this MCP session.Connector