"A system for storing and managing data" matching MCP tools:

• list_labels

  gmail

  List all Gmail labels for the authenticated user. Returns both system labels (INBOX, SENT, TRASH, etc.) and user-created labels with message/thread counts. Use this to discover label IDs needed for add_labels, remove_labels, or search_email queries.

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• get_vibes

  Alai

  List vibes available to the authenticated user. Returns vibe IDs, names, and sources (system or custom) that can be passed as vibe_id to generate_presentation.

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• GetLEIDetail

  Fintel Discovery — Financial Intelligence for AI Agents

  Retrieve the full GLEIF LEI record for one legal entity using its 20-character LEI code. Returns legal name, registration status, legal address, headquarters address, managing LOU, and renewal dates. Use this tool when: - You have a LEI (from SearchLEI) and need full entity details - You want to verify the registration status and renewal date - You need the exact legal address and jurisdiction of an entity Source: GLEIF API (api.gleif.org). No API key required.

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• data.hardware

  DezignWorks Product Oracle

  Returns the list of supported measurement devices (CMMs, scanners), file formats, and system requirements for DezignWorks. Use to check hardware compatibility before recommending the product.

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• get_rehab_sample

  RTK Motion — Motion Capture, Biomechanics, and Threat Intelligence

  FREE rehab biomechanics sample — shows the structure and metric categories of a clinical summary without numeric values. Demonstrates data quality and coverage. Upgrade to get_rehab_summary ($0.50) for full numeric data. Try case_path='PhysicalRehab/40-50/Male/LabrumTear'.

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• escalate_with_context

  VaultCrux Memory Core

  Contextual escalation — packages your full reasoning state (evidence gathered, options considered, recommended action) and routes to a human for review. Preserves work so the human responds with full context, not from scratch. Use when you hit genuine uncertainty that the system cannot evaluate.

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• list_metrics

  Indicate

  Step 3 — List metrics and their dimensions for a data source. (In the Indicate system a metric is called a 'data cube'.) Each metric includes its dimensions; every dimension has a 'scope' that is either 'perspective' or 'group'. → Pass the metric 'id' as 'metric_id' to query_metric. → Pass dimension IDs with scope='perspective' as 'perspective_dimension_id' and scope='group' as 'group_dimension_id' to query_metric.

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• get_dataset_schema

  Autario Data Analytics Platform

  Get the column names, data types, and total row count for a dataset. Always call this before query_dataset to understand the available columns for filtering and sorting.

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• asn_lookup

  ContrastAPI

  Look up Autonomous System Number (ASN) for a domain or IP: AS number, organization, IPv4/IPv6 prefixes. Use to identify network operator and IP range ownership. Default returns first 50 prefixes per family — set include_full_prefixes=True for full list. Free: 30/hr, Pro: 500/hr. Returns {asn, asn_name, ipv4_prefixes, ipv6_prefixes, ipv4_count, ipv6_count}.

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• get_task_events

  Molt2Meet

  Poll for task status changes. Returns status history entries after the given sequence number. Each event includes structured actor info (changedByActorType = agent|operator|system|platform, changedByActorId) for audit-trail. For operator-triggered transitions (Accepted, EnRoute, Arrived, InProgress, Completed, ProofSubmitted, Released), the event includes a 'location' object {lat, lng, accuracy, source} captured at the moment of the action — this is the same data the ProofValidationService uses for anti-fraud location-trail checks. Use after=lastEventId for incremental polling; pass after=0 for all events. Requires authentication.

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• hires_list_application_stage_history

  100Hires - AI ATS & Recruitment Software

  Get the full chronological stage transition history for an application, including the initial assignment. Each entry has from_stage_id/name, to_stage_id/name, moved_at (Unix seconds), moved_by_type (system, user, automation), and moved_by_user_id. Use this for funnel analysis and time-in-stage reports instead of paginating through /candidates/{id}/activities when only stage data is needed.

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• calculate_inverter_size

  VoltPlan Wiring Diagrams

  Calculate the recommended inverter size for running AC loads from a DC battery system. Accounts for continuous power, startup surge power (motors typically surge 2-3x), and includes a 25% headroom for the continuous rating. Returns the recommended inverter wattage and the DC current draw at system voltage.

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• render_document

  Carbone MCP

  Generate a document by merging a Carbone template with JSON data. Two modes: (1) pass templateId to use a previously uploaded template; (2) pass template (file path, URL, or base64) to upload and render in a single request without storing a template. Supports output format conversion, multilingual rendering, currency conversion, batch generation, and advanced PDF options (watermark, password, PDF/A). Async mode: pass webhookUrl to render asynchronously — Carbone will POST the renderId to your URL when the document is ready. Async mode is required when using batch generation (batchSplitBy).

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• tables_list

  runik-ai

  List all available tables in the business system

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• update_campaign

  argo-mcp

  Update a campaign's display name and/or description. Both fields optional — only supplied fields are changed; pass an empty string to clear the description. GMs and co-GMs can call this; rule-system swaps remain WebApp-only.

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• list_data_sources

  Indicate

  Step 2 — List data sources available within a tenant. (In the Indicate system a data source is called a 'data product'.) Examples: Google Analytics, Facebook Ads, vioma, Booking.com. Returns each data source's 'id', 'displayName', and 'semantic_context_id'. → Pass the chosen 'id' as 'data_source_id' and 'semantic_context_id' to list_metrics.

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• chunk_text

  Toolora MCP Server

  Use this tool to split long text into smaller, overlapping chunks suitable for embedding, vector storage, or RAG pipelines. Triggers: 'chunk this document for RAG', 'split this into embeddings', 'break this into segments', 'prepare this text for a vector database'. Returns an array of chunks with index, text, character count, and estimated token count. Essential before embedding or storing text in a vector database.

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• chunk_text

  Toolora

  Use this tool to split long text into smaller, overlapping chunks suitable for embedding, vector storage, or RAG pipelines. Triggers: 'chunk this document for RAG', 'split this into embeddings', 'break this into segments', 'prepare this text for a vector database'. Returns an array of chunks with index, text, character count, and estimated token count. Essential before embedding or storing text in a vector database.

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• as_info

  mcp

  Get the name, organization, country, and description for an Autonomous System number. Lightweight version of as_whois.

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• setup_integration

  mcp

  Configure an integration by storing its required API keys in the vault. Validates key format against the integration manifest. After setup, the integration endpoints become available for execute_integration calls. Use list_integrations first to see what secrets are required. For production API keys, consider using the Dashboard Vault tab (dashboard.websitepublisher.ai/vault) instead — keys are stored directly without passing through the AI conversation.

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