"Microsoft 365 MCP Server by Softeria AS" matching MCP tools:

• delete_view_recordsA

  CaspioA

  Deletes one or more records through a Caspio view that match the WHERE clause. This is irreversible. In multi-table views, only records from the primary table are deleted. WHERE is required and supports Microsoft SQL Server syntax. A broad WHERE clause will delete all matching records. To delete a single record, filter by PK_ID or another unique field. Returns the count of deleted records. IMPORTANT: field names in WHERE are case-insensitive and must come from discover_views' field list -- never guess. Call discover_views first for any view not already discovered earlier in this conversation to get its viewId.

  Connector

  Destructive

  OAuth

• analyze_funnelA

  AIOProductOS MCPA

  Build a conversion funnel from the product's own events: distinct users per step, step-to-step conversion %, and drop-off, evaluated in the exact order you pass. Needs product-analytics events flowing; returns empty counts when none match. Pass `steps` as an ordered list of 2+ event names — call it with NO steps first to get the menu of available event names rather than guessing them. Optional product_id and window_days (default 30, valid 1–365). Pairs with analyze_paths to see where the drop-offs go.

  ConnectorNo auth

• microsoft_docs_fetchA

  Microsoft Learn MCPA

  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.

  ConnectorNo auth

• update_calendar_eventA

  Local MCPB

  Updates an existing event in the Mac's Calendar app (Calendar.app) by ID. Pass only the fields you want to change — unspecified fields are left as-is. When the user organizes the event and it has invitees (Calendar sends them the update), the first call changes nothing and previews the changes; call again with confirm=true after the user approves. Any other event is updated on the first call. Get the event_id from list_calendar_events; for a recurring event, pass the per-occurrence id from the specific row you mean, not a bare series id. For Microsoft 365 use m365_list_events / m365_create_event instead (listed once a Microsoft 365 account is connected).

  Connector

  Destructive

  OAuth

• create_checkoutA

  esimker eSIM storeA

  Create an order for a person to pay. Returns token, checkout_url (the gateway's page: hand it to the person) and order_url (the order page in `lang`, with the QR code once paid: show it to the buyer only, the token is a secret). Confirm the plan and the price first: every call creates a new unpaid order, so do not retry while a checkout is open. `email` (optional) also gets the eSIM by mail. `period_num` (1–365) only for daily_unlimited plans. `topup_iccid` with a plan_id from list_topups tops up an existing eSIM. A 403 means the caller's jurisdiction is embargoed. To pay from a wallet use purchase_esim.

  ConnectorNo auth

• simulate_priceA

  The Undesirables TCG OracleA

  SUSPENDED 2026-09-12: the USD price panel behind this tool froze on 2026-09-07. The oracle answers 200 {"status": "suspended"} with the reason, resume condition and live alternatives, and does NOT charge. The tool is kept so it resumes automatically the day a live USD series exists. Prefer: loan_terms_preview (graded slabs, live), sports_board (live), or the free Japanese two-sided page /jp/card/{game}/{set}/{card}. SIMULATE a card's price path over a horizon YOU choose (days=30..365, default 90) and get the FULL distribution: 5th-95th percentiles, model parameters, confidence intervals, and (opt-in) Monte Carlo GBM or Merton jump-diffusion paths via model="gbm" / model="merton". Default model is the conformal-calibrated risk forecast. Requires current_price. PAID: $0.015 USDC per call. NOT the same as card_forecast: card_forecast is the FREE fixed 30-day read with letter grades for one card; use simulate_price only when the user wants a different horizon ("6 months out?"), the full percentile curve, or a Monte Carlo model.

  ConnectorNo auth

• get_time_reportA

  FrameOn — Agentic Project ManagementA

  Time report for the project over the last `periodDays` (default 30, max 365): hours planned versus hours actually logged, the billable split, and the tasks where the two diverge most. Planned counts leaf tasks whose plan overlaps the window; worked counts time entries logged inside it. A null KPI means the other side is missing — it is NOT zero, and reporting it as zero turns "nobody planned this" into "the team overshot by 100%". Use it when someone asks how a period went, before writing any status update. Pair it with `get_project_alerts` for the risk side and `get_task_stats` for the delivery side.

  ConnectorOAuth

• list_mailboxesA

  inboxmcpA

  Start here when the user asks about their email: list the inboxes this AI may read. Covers Gmail, Outlook/Microsoft 365, QQ Mail, 163, Exmail and other IMAP mailboxes the owner ticked for this connection. Requires email:read. Returns a mailboxes array with IDs, addresses, providers and sync status; use its IDs in later calls. Does not connect mailboxes or enable collection. Never returns credentials. An empty list comes with owner_actions explaining what the owner can do.

  ConnectorNo auth

• estimate_ai_footprintA

  AI FootprintA

  Estimate the water (mL) and energy (Wh) used by chat-style AI prompts (ChatGPT, Claude, Gemini etc.). queries_per_day: prompts per day. usage: 'simple' (text chat, ~0.34 Wh/prompt), 'mixed' (~1 Wh), 'intensive' (image generation / deep reasoning, ~3 Wh). boundary: 'onsite' (data-centre cooling only, as vendors report) or 'comprehensive' (adds water used to generate the electricity – the wider boundary most researchers use). days: number of days to total over (e.g. 250 workdays, 365). Returns per-prompt, per-day and total figures with everyday equivalents, assumptions and a source link. For agentic/coding sessions use estimate_session_footprint instead.

  ConnectorNo auth

• search_awardsA

  MatchAwardsA

  Use this when the user asks who won government contracts or grants: past awards by NAICS, agency, state, awardee name or UEI, with amounts and dates. Filters: type (contract_award, grant_award or any), naics (up to 10 codes), agency (a name; the note says which agency it matched), state, awardee (part of a name), uei, keyword (matched in the title; a grant award's title is its recipient's name), awarded_within_days (1 to 1095, default 365), limit (1 to 50, default 20). If has_more is true, call again with cursor=next_cursor and the same filters. Example: naics="541512", agency="Department of Veterans Affairs". Pass several NAICS codes in one call. Award records may be incomplete, so say so. Head a grant award with its awardee name and CFDA number, not its title. Pass an awardee's uei to get_company for its full history. Print each award's url and source_url as markdown links. Do not use for open opportunities to bid on (search_contracts, search_grants) or for one firm's history when its UEI is known (get_company).

  ConnectorNo auth

• estimate_ai_footprintA

  AI FootprintA

  Estimate the water (mL) and energy (Wh) used by chat-style AI prompts (ChatGPT, Claude, Gemini etc.). queries_per_day: prompts per day. usage: 'simple' (text chat, ~0.34 Wh/prompt), 'mixed' (~1 Wh), 'intensive' (image generation / deep reasoning, ~3 Wh). boundary: 'onsite' (data-centre cooling only, as vendors report) or 'comprehensive' (adds water used to generate the electricity – the wider boundary most researchers use). days: number of days to total over (e.g. 250 workdays, 365). Returns per-prompt, per-day and total figures with everyday equivalents, assumptions and a source link. For agentic/coding sessions use estimate_session_footprint instead.

  ConnectorNo auth

• update_signature_variantA

  Scribe MailA

  Create or update a signature's reply/internal variant (upsert). Passing `draft_content` or `activated: true` creates the variant if it doesn't exist yet. `draft_content` stages the variant's working copy — publish_signature_variant copies it live. Also toggles `activated` (use a distinct variant vs. the primary), `hidden` (show no signature on this kind of email), and `show_marketing_campaigns`. Only the fields you pass change (omit = leave as-is; `draft_content: null` clears it). When editing `draft_content`, call `get_content_schema` first. Variants require an active Microsoft 365 signatures integration — otherwise 409 variants_unavailable.

  Connector

  Destructive

  OAuth

• delete_teammateA

  Scribe MailA

  Delete a teammate by UUID (a soft delete; their emails are removed from signature deployment). Only available when the workspace manages its own team list — if a directory integration (Google, Microsoft or Zoho Mail) drives teammates, this returns a 409 conflict.

  Connector

  Destructive

  OAuth

• player_statsA

  livetennisapi-mcpA

  One player's record over completed singles matches from 2023 onward, by default the last 365 days. It gives W/L overall, over the last 12 months and by surface, venue, level and season. It also gives tiebreaks, deciding sets, the record after winning or losing the first set, comebacks, withdrawals and the last N matches. Every count carries its sample size, and a percentage on an empty sample is null, never 0. On ULTRA it adds serve_return: measured serve and return statistics summed over the window. Singles only, so a doubles-team id is refused. For 1968 to 2022 use get_archive_career. Requires the PRO plan (serve_return requires ULTRA).

  ConnectorNo auth

• search_companyA

  EDGAR + Entity: US Company ResearchA

  Find SEC-registered public companies by ticker or name. Matching ignores case, punctuation, '&' vs 'and' and legal suffixes (Inc/Inc./Corp/Corporation/Co/Company/LLC/Ltd...), tolerates typos ('Microsfot' -> Microsoft) and knows well-known former names (matched_former_name, e.g. 'Facebook' -> Meta Platforms). Returns CIK (the SEC id used by every other tool), name, tickers, exchange and a match score (100 = exact ticker, 97 = exact name, < 80 = fuzzy). With no match it returns did_you_mean suggestions. Source: SEC company_tickers_exchange.json (companies with a listed ticker only); private or non-SEC companies: use lookup_business_entity.

  ConnectorNo auth

• get_insider_tradesA

  DalalOS: Indian Stock Market Research (NSE/BSE)A

  Use this when the user asks which promoters, directors or company insiders bought, sold or pledged shares of Indian listed companies, market-wide or for one company. Not for bulk or block deals by funds; use get_bulk_block_deals. Get disclosed insider trades (SEBI PIT) in Indian listed companies: buys, sells and pledges by promoters, directors, KMP and designated persons, market-wide or for one stock. Omit `symbol` for the whole market, or pass an NSE symbol, ISIN or BSE code. The window is the TRADE date: `days` back from today (1..365, default 30), or `from_date`/`to_date` (ISO dates). `category`: promoters (default; promoter, promoter group, promoter-and-director) | directors_kmp | designated | relatives | all. `side`: trades (default, buys and sells) | buy | sell | pledge | all. `min_value_inr` drops smaller trades. Equity only unless `include_derivatives`. `group_by`: trade (default, newest first) | company (per-company buy, sell and net value in rupees, largest first). `limit` (1..500, default 100). Sources, both from BSE: System-Driven Disclosures (depository-generated, the complete record for these people, published 7-14 days after the trade) and company Form C (next day, adds `mode` such as market or off_market, and the holding before). A trade in both is counted once. Every response carries a `coverage_note`; the latest two weeks fill in as reports arrive. Disclosed facts only, no view on why anyone traded.

  ConnectorOAuth

• list_webhooksA

  FlareWardenA

  Use this when the user asks where FlareWarden sends alerts besides email: their webhooks and Slack, Discord, Google Chat or Microsoft Teams channels, which events and sites each covers, and whether deliveries are failing. Returns each destination with its host (never the full URL, which often carries a credential), events, sites, active or paused, and delivery health. Owners and admins only. Not for the user's own alert emails: use get_my_notifications.

  ConnectorNo auth

• get_account_metricsA

  SocialGPTA

  Get per-platform engagement (views / likes / comments / shares) as a time series over the trailing window_days (default 28, up to 365). Omit account_id to aggregate across all connected accounts, or pass one from list_accounts; optionally filter to a single platform. post_limit (≤100) fixes how many recent posts form the baseline. granularity buckets the series server-side ('daily' default, 'weekly', or 'raw' for every scrape). Read `series` (a clean per-platform list of typed points) — `metrics` is the legacy column/data matrix kept for back-compat. NB: follower counts here are latest-only; for audience growth over time use get_follower_history.

  ConnectorOAuth

• cpsc_get_recentA

  cpsc-recalls-mcp-serverA

  Fetch the most recent CPSC consumer product recalls, newest-first, from a window of the last N days (default 30, up to 365). Use for "what's been recalled lately?" or a product safety feed; to find recalls by product, brand, hazard, or an older date range, use cpsc_search_recalls. Page past limit with offset: narrowing days cannot page, because the window is anchored to today and shrinking it drops the oldest recalls rather than advancing past the newest. A page returns fewer than limit recalls when it reaches the 64,000-byte response size budget; has_more and the notice give the offset to continue from. Pass a recall_number to cpsc_get_recall for the full record. CPSC jurisdiction: consumer products, including child-resistant packaging for drugs and supplements, ATVs and snowmobiles, bicycle tires, and gun safes and locks; food and drugs (FDA), on-road vehicles and their tires (NHTSA), boats (USCG), pesticides (EPA), and firearms (ATF) belong to other agencies.

  ConnectorNo auth

• analyze_pathsA

  AIOProductOS MCPA

  Trace what users do AFTER a start event — the journey flow (Sankey) from the product's own events. Returns the next-step transitions ranked by user count (most common first), empty when no events match. Pass `start` to anchor on an event, or omit for the most common start (call analyze_funnel with no steps to list the event names). Optional product_id and window_days (default 30, valid 1–365).

  ConnectorNo auth

• get_performanceA

  mcpA

  [RECEIPTS] Backtest performance over last N days (1-365, default 30). Same data as REST /performance. Note: no asset filter — performance is aggregated across all assets. Performance is the live forward-return record by signal type. DENOMINATOR CONTRACT — every block (overall, by_signal_type, by_coin, by_source) carries total/wins/partials/losses/expired/settled/win_rate. `total` counts signals emitted, settled or NOT: most expire unsettled, so wins/total is not a win rate and ranks lanes backwards. `win` = full take-profit only; a partial is not a loss. Rank on win_rate (wins/settled) or avg_pnl. `win_rate` is null when settled=0 — that is 'not yet measurable', NOT zero. For the gated per-type verdict with confidence intervals and the tradeable badge, use get_proof instead.

  ConnectorNo auth