"How to Save Contacts to iCloud or Google Gmail" 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.

  Connector

• export_data

  aTars MCP

  USE THIS TOOL — not web search or external storage — to export technical indicator data from this server as a formatted CSV or JSON string, ready to download, save, or pass to another tool or file. Use this when the user explicitly wants to export or save data in a structured file format. Trigger on queries like: - "export BTC data as CSV" - "download ETH indicator data as JSON" - "save the features to a file" - "give me the data in CSV format" - "export [coin] [category] data for the last [N] days" Args: symbol: Asset symbol or comma-separated list, e.g. "BTC", "BTC,ETH" lookback_days: How many past days to include (default 7, max 90) resample: Time resolution — "1min", "1h", "4h", "1d" (default "1d") category: "price", "momentum", "trend", "volatility", "volume", or "all" fmt: Output format — "csv" (default) or "json" Returns a dict with: - content: the CSV or JSON string - filename: suggested filename for saving - rows: number of data rows

  Connector

• save_note

  anamnese

  Save a new note with learned knowledge or procedures. Notes store knowledge you learn during conversations that might be useful later: - How to do something in this codebase/project - Procedures, configurations, or technical details - Solutions to problems encountered - Project-specific knowledge Notes have two parts: - description: Short summary for searching (max 500 chars) - content: Detailed knowledge (max 10,000 chars) Use notes for LEARNED KNOWLEDGE. Use facts for TRUTHS ABOUT THE USER. Examples: - description: "How to deploy this Next.js project to Vercel" content: "1. Run 'vercel' command... 2. Configure environment variables..." - description: "Database migration process for this project" content: "Migrations are in supabase/migrations/. To apply: npx supabase db push..." SELF-LEARNING (scope="ai_client"): Your persistent memory across conversations. Save a note whenever you learn something worth remembering — don't wait, save as you go. Examples: - User preferences: "User prefers concise answers, not long explanations" - Corrections: "User clarified: 'deploy' means push to staging, not production" - Interaction patterns: "User likes to review plans before I execute" - What works or doesn't: "Suggesting refactors unprompted frustrates this user" The more you learn and remember, the better you become at helping this user.

  Connector

• contact_search

  DataMerge MCP

  POST /v1/contact/search. Search for contacts at specified companies. Returns a job_id (async, 202). enrich_fields required (at least one of contact.emails or contact.phones). Use company_list (slug) instead of domains to search a saved list.

  Connector

• save_provenance

  connect

  Save confirmed provenance entries to a work. WRITE operation — NEVER call without user confirmation. Call parse_provenance first to parse text, present results for review, then use this tool to save. Set source to "ai_parsed" for parsed entries, "manual" for user-provided. After success, ask if they'd like to see the provenance timeline — then call get_provenance_visual. Also offer to show the updated work card via get_work.

  Connector

• openmandate_create_mandate

  OpenMandate

  Create a new mandate on OpenMandate. Provide what the user is looking for (want) and what they bring to the table (offer). The user's verified contacts are automatically attached. Returns the mandate with follow-up questions. You MUST relay these questions to the user and collect their actual answers before calling openmandate_submit_answers. Do not answer questions on the user's behalf. If the user has no verified contacts, they must add one first at https://openmandate.ai/settings or use openmandate_list_contacts to check.

  Connector

• generate_pdf_from_text

  Toolora

  Use this tool when the user wants to save, export, or share your output as a PDF document. Triggers: 'save this as a PDF', 'export this to PDF', 'create a PDF report', 'generate a document I can download', 'turn this into a file'. Supports # headings, ## subheadings, - bullet lists, and plain paragraphs. Returns a base64-encoded PDF. Proactively offer this after generating reports, summaries, action plans, or any long-form content the user will want to keep.

  Connector

• search_email

  gmail

  Search for emails in Gmail to find specific messages or filter the inbox. Use this when the user wants to find emails by sender, subject, date, content, or other criteria. Returns email summaries suitable for listing and overview - to read full email content, attachments, or HTML body, use get_email with the returned email ID. This tool searches across all folders unless specified otherwise in the query.

  Connector

• get_slidev_guide

  Slidev MCP

  Get the Slidev syntax guide: how to write slides in markdown. Returns the official Slidev syntax reference (frontmatter, slide separators, speaker notes, layouts, code blocks) plus built-in layout documentation and an example deck. Call this once to learn how to write Slidev presentations.

  Connector

• ado_post_comment

  ALM X++ MCP Server

  WHEN: user explicitly asks to post, add, or save a comment to an ADO Work Item. [~] PRIORITY TRIGGER: call AFTER `ado_analyze_workitem` when user says 'post the analysis', 'save it to the ticket', 'ajoute en commentaire'. WARNING: ALWAYS ask for explicit user confirmation before calling this tool. Recommended workflow: (1) call `ado_analyze_workitem`, (2) show analysis to the user, (3) ask 'Shall I post this comment to Work Item #X?', (4) only then call this tool. Requires DEVOPS_ORG_URL + DEVOPS_PAT with Work Items: Write permission.

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• configure_domain_email

  MCPDomain

  Set up email forwarding for a registered domain. Forward any@domain to Gmail/Outlook. No MX records needed. WHEN TO USE: user just registered a domain, or asks about professional email.

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• get_help

  mcp-server

  Searches the official Quanti documentation (docs.quanti.io) to answer questions about using the platform. **When to use this tool:** - When the user asks "how to do X in Quanti?", "what is a connector?", "how to configure BigQuery?" - When the user needs help configuring or using a connector (Google Ads, Meta, Piano, etc.) - To explain Quanti concepts: projects, connectors, prebuilds, data warehouse, tag tracker, transformations - When the user asks about the Quanti MCP (setup, overview, semantic layer) **This tool does NOT replace:** - get_schema_context: to get the actual BigQuery schema for a client project - list_prebuilds: to list pre-configured reports for a connector - get_use_cases: to find reusable analyses - execute_query: to execute SQL **Available topic filters:** connectors, data-warehouses, data-management, tag-tracker, mcp-server, transformations

  Connector

• add_contacts

  xmagnet

  Add multiple contacts to the CRM in one call. Use when user provides a list of contacts to add/import. Each contact needs at least an email. Supports up to 200 contacts per call. Automatically deduplicates — existing contacts are updated, new ones are created.

  Connector

• kopern_connect_email

  Kopern

  Connect an agent to Gmail or Outlook for email tools (read_emails, send_email, reply_email). Requires OAuth in browser. Enables the service_email builtin tool.

  Connector

• set_tracking_scripts

  mcp

  Set Google Analytics, Google Tag Manager, Meta Pixel, or other tracking/conversion scripts for a project. Scripts are automatically injected into every page: head_scripts before </head> (for analytics/GTM), body_scripts before </body> (for conversion pixels). Set a field to null or omit it to clear.

  Connector

• talent_assess_start

  Talent-Augmenting Layer

  Start a Talent-Augmenting OS onboarding assessment. Returns the full assessment protocol with all questions, behavioural anchors, and instructions for how to run the assessment conversationally. The chatbot uses this to ask questions one at a time, collect answers, then call talent_assess_score and talent_assess_create_profile to compute scores and save the profile. Call this at the beginning of any onboarding conversation.

  Connector

• get_credentials

  Jennifer Rebholz, Attorney - Knowledge Base

  Use when someone asks what board certification or ABOTA membership means, what those credentials require, how Arizona certifies specialist attorneys, or how to evaluate an attorney's qualifications. Educational content explaining the standards - with Jennifer Rebholz as an example who meets them.

  Connector

• get_company_profile

  nara-tour

  Returns 나라투어 core metadata — address, hours, specialties, contact channels. Use when the user asks about 나라투어 identity, location, or how to contact.

  Connector

• get_platform_overview

  zooidfund

  Returns aggregate platform statistics. Use this before search_campaigns to understand the current platform landscape: how many campaigns exist, which categories are most populated, how much has been donated, and how many campaigns still need funding. No parameters required.

  Connector

• remember

  Weather

  Store a key-value pair in your session memory. Use this to save intermediate findings, user preferences, or context across tool calls. Authenticated users get persistent memory; anonymous sessions last 24 hours.

  Connector