"Using Microsoft Teams at PepsiCo" matching MCP tools:

• teams_send_channel_message

  local-mcp

  Sends a text message to a Microsoft Teams channel via Graph API. Requires connect_m365_account with Chat.ReadWrite / ChannelMessage.Send permissions. team_id and channel_id must come from teams_list_teams / teams_list_channels. First call returns a preview; set confirm=true to send.

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• get_history

  Silicon Pantheon

  Read-only. Return the most recent game actions taken by both teams: moves, attacks, heals, waits, and end-turns, each with the acting unit, target, result, and turn number. last_n controls how many actions to return (default 10, max 100). Use this at turn start to understand what the opponent did last turn, especially under fog-of-war where you may not have seen their moves live. For aggregate match statistics use get_match_telemetry instead.

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• searchCatalog

  Cortex

  Search the catalog for entities (services, domains, teams, resources), ranked by relevance. This is the primary way to find entities. Put search text in `query` (plain words work; AND/OR/NOT supported). Scope with `types` (e.g. service, domain, team); `owners` to get everything a team owns, including its sub-teams; `domains` to get everything within a domain, including its sub-domains; or `catalog` (a catalog slug). Returns a lean result per entity (cid, tag, type, name, description, owners, status); use getEntityDetails for the full record of a single entity.

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• me.sessions

  AI Design Blueprint

  Pro/Teams — list or inspect the authenticated user's Governed Sessions (GEP-M2): durable, owner-scoped containers that group validation runs across lenses (architect.validate → 'architecture', design.validate → 'surface', spec.validate → 'spec') into one timeline for one piece of work. Two modes: (1) No arguments returns every session (id, title, status, repo_url, spec_ref, team_agents, run_count, validators = the lenses seen), newest first. (2) `session_id=<id>` returns that session plus its run timeline (light rows; fetch full results per run via me.validation_history(run_id=...)) and, for team sessions, `events` = the typed team-event log posted via me.session_event. Attach new runs by passing `session_id` to architect.validate, design.validate, or spec.validate. Sessions are created and managed in the web app at /app/sessions. Read-only. Auth: Bearer <token>. Pro or Teams plan required.

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• fantasy_get_my_team

  league-loom

  One call for YOUR team in ONE league: your standing/record, your current matchup, and your roster, assembled together. Personalized: ESPN/Sleeper auto-detect your team; Fantrax uses team_query. With a fantasy profile token, the league AND your team are inferred. Use this only when the user is asking about a SINGLE league. For "my teams", "my football teams", "how am I doing", or "my week" (plural / across leagues) use **fantasy_get_my_teams** instead, since the user is in multiple leagues. Args: provider; league_id; league_query; team_query; season (espn/sleeper); sport; credentials.

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• microsoft_docs_fetch

  xpay✦ DevTools Collection

  Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.

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• seo_keyword_research

  gapup-mcp

  SEO keyword research from a seed keyword or topic. Uses Google Suggest (public, keyless) to discover related queries at 2 expansion levels, then clusters them by intent: informational / commercial / transactional / navigational — via heuristic pattern matching. Search volume is bucketed (very_high / high / medium / low / very_low) and clearly labelled as ESTIMATED — no fabricated precise numbers. Returns all keywords, intent clusters, quality scores (0-100), and top 10 opportunities. Supports country (gl) and language (hl) targeting. 100% keyless. Cache TTL 6h. ICP: SEO managers, content strategists, SaaS founders, agency teams.

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• aetherwave_upscale_video

  AetherWave Studio

  Upscales a source video to 1080p or 2K using Atlas. Pass a public `videoUrl` and the target resolution. Cost is per-second (7 cr/s @ 1080p, 9 cr/s @ 2K). Atlas-side limits: clips up to 53s at 1080p, 23s at 2K, source must be <=30fps. Returns the upscaled video URL (R2-hosted).

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• list_categories

  Agentic.ai Directory

  Get all categories with descriptions and listing counts. Use this to discover what categories exist before filtering. To get listings IN a category, use get_category with the slug. Categories are split into PEOPLE (individual use) and TEAMS (team/enterprise) cohorts.

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• connect_m365_account

  local-mcp

  Connect your Microsoft 365 account. Call once to get a login code, then call again after you've authenticated at microsoft.com/devicelogin to confirm the connection.

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• list_calendar_names

  local-mcp

  Lists the calendars in the Mac's Calendar app (Calendar.app, local/iCloud). For Microsoft 365 calendars use the m365 calendar tools instead.

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• list_reminder_lists

  local-mcp

  Lists the lists (folders) in Apple Reminders (Reminders.app) on this Mac. For Microsoft To Do use todo_list_lists instead.

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• list_meetings

  parabol

  List past/ongoing meetings for one or more teams (Relay connection), newest first. `teamIds` is required. `meetingTypes` defaults to all four (retrospective, action, poker, teamPrompt). `before` bounds the window (defaults to now); paginate older with `after`. Parabol GraphQL: viewer.meetings. Requires MEETINGS_READ.

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• set_token

  WebSlop

  Restore an authenticated session using a previously saved JWT token. Call this at the start of a new session before any other tools, using a token saved from a prior check_login call. If the token is invalid, fall back to login.

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• seo_keyword_research

  mcp-knowledge

  SEO keyword research from a seed keyword or topic. Uses Google Suggest (public, keyless) to discover related queries at 2 expansion levels, then clusters them by intent: informational / commercial / transactional / navigational — via heuristic pattern matching. Search volume is bucketed (very_high / high / medium / low / very_low) and clearly labelled as ESTIMATED — no fabricated precise numbers. Returns all keywords, intent clusters, quality scores (0-100), and top 10 opportunities. Supports country (gl) and language (hl) targeting. 100% keyless. Cache TTL 6h. ICP: SEO managers, content strategists, SaaS founders, agency teams.

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• fantasy_get_my_teams

  league-loom

  THE HUB VIEW. Aggregate the user's teams across ALL their configured leagues and providers (Fantrax, ESPN, Sleeper) in ONE call. The user plays in MULTIPLE leagues at once, so use this whenever they ask about "my teams", "my football teams", "how am I doing", "my week", or anything plural/cross-league. Do NOT just query one league. Args: sport (optional, e.g. 'NFL' for "my football teams"; omit for all sports); provider (optional filter); response_format. For each team it returns the league, your team, rank/record, and this week's matchup. Needs a connected profile (reads your configured leagues). For a single named league, use fantasy_get_my_team instead.

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• explain_royaltea

  royaltea-public

  Explain what RoyalTea is and how it helps creative teams track contributions and split revenue fairly. Use when someone asks what RoyalTea is or whether it fits their situation.

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• microsoft_docs_search

  Microsoft Learn MCP

  Search official Microsoft/Azure documentation to find the most relevant and trustworthy content for a user's query. This tool returns up to 10 high-quality content chunks (each max 500 tokens), extracted from Microsoft Learn and other official sources. Each result includes the article title, URL, and a self-contained content excerpt optimized for fast retrieval and reasoning. Always use this tool to quickly ground your answers in accurate, first-party Microsoft/Azure knowledge. ## Follow-up Pattern To ensure completeness, use microsoft_docs_fetch when high-value pages are identified by search. The fetch tool complements search by providing the full detail. This is a required step for comprehensive results.

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• microsoft_docs_fetch

  Microsoft Learn MCP

  Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.

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• search

  Koalr

  Search across all Koalr entities: developers (by name or GitHub login), repositories (by name), pull requests (by title or branch), and teams (by name). Use this when you need to find an entity before using a more specific tool. Read-only.

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