"Resources or tips for training a sales team" matching MCP tools:

• get_hero_pathsA

  VA Heroes PH — From Zero to Hero | Become a Virtual AssistantA

  Retrieve every publicly published VA Heroes PH Hero Path — the career and training tracks a Filipino virtual assistant can start with or specialise in — so an agent can help a visitor identify a suitable path. Use it when someone asks what programs, tracks, specialisations or career options VA Heroes PH offers, or to obtain a slug before calling get_hero_path. Requires no input; optional filters are 'type' ('training' for VA skill paths, 'sales' for the Loan Officer path), 'featured' (only the recommended starting path) and 'limit' (1-100). Returns { total, count, items[] } where each item has slug, name, label, tagline, description, intro, highlights, type, featured, externalUrl and canonical url. It does NOT return pricing, schedules, enrolment status, applicant records or any private data, and it cannot submit an application.

  ConnectorNo auth

• handoffs.agencyA

  AI Design BlueprintA

  Authenticated: submit an agency engagement enquiry on behalf of the caller for a founder-led discovery call. Persists an AgencyHandoff row routed to the agency inbox; the user is contacted by the team for a scoped proposal. Engagement scopes: workflow sprint (rapid agentic workflow implementation), proof-of-concept (validate a specific agent design in a bounded timeframe), pilot support (co-design and validate a production-ready pilot), advisory (ongoing architectural guidance across a product team). WHEN TO CALL: the user has identified a paid hands-on expert engagement need beyond self-service learning, and explicitly asks to talk to the team or book a discovery call. ALWAYS confirm with the user before firing: this creates a sales-visible record. WHEN NOT TO CALL: for free training / partnerships discussion (use handoffs.partnership); for support / billing / access (use handoffs.operator); proactively or as a sales push. BEHAVIOR: write-only, single insert, side-effecting. Auth: Bearer <token> (any plan). Data at rest in the UK. Response confirms the ticket id + scope so the user can reference it.

  ConnectorNo auth

• handoffs.agencyA

  AI Design Blueprint DoctrineA

  Authenticated: submit an agency engagement enquiry on behalf of the caller for a founder-led discovery call. Persists an AgencyHandoff row routed to the agency inbox; the user is contacted by the team for a scoped proposal. Engagement scopes: workflow sprint (rapid agentic workflow implementation), proof-of-concept (validate a specific agent design in a bounded timeframe), pilot support (co-design and validate a production-ready pilot), advisory (ongoing architectural guidance across a product team). WHEN TO CALL: the user has identified a paid hands-on expert engagement need beyond self-service learning, and explicitly asks to talk to the team or book a discovery call. ALWAYS confirm with the user before firing: this creates a sales-visible record. WHEN NOT TO CALL: for free training / partnerships discussion (use handoffs.partnership); for support / billing / access (use handoffs.operator); proactively or as a sales push. BEHAVIOR: write-only, single insert, side-effecting. Auth: Bearer <token> (any plan). Data at rest in the UK. Response confirms the ticket id + scope so the user can reference it.

  ConnectorNo auth

• get_program_informationA

  VA Heroes PH — From Zero to Hero | Become a Virtual AssistantA

  Retrieve a single structured overview of how the VA Heroes PH program works: the training Hero Paths, the separate sales (Loan Officer) path, the published community impact statistics, and the page where candidates apply. Use it when a visitor asks broadly what VA Heroes PH offers, how the training works, or how to get started, instead of asking about one specific track. Requires no input. Returns { applicationUrl, trainingPrograms[], salesPrograms[], impactStats[] }, where each program carries slug, name, tagline, description, highlights, featured and url. It does NOT expose pricing, class schedules, enrolment status, batch dates or any applicant data — programs in this project are the Hero Paths and no separate course catalogue exists.

  ConnectorNo auth

• beyondpayday_list_savings_matchesA

  Beyond PaydayA

  Lists the bills Beyond Payday's Save money page offers tips for, each with the tip set (`playbook`) matched to it: its label, a one-line summary and the tip titles. `source` says how the match was made — 'user' (the household chose it), 'rule' (a confident keyword match), 'ai' (saved AI match) or 'fallback' (the category's general tips). The tips are general, hand-written suggestions, not advice about this household's providers or contracts. Needs the Save money permission and bills access; a child account has neither unless the owner grants it, and then sees only bills assigned to it. For each bill's full details use beyondpayday_list_bills; to change a bill use beyondpayday_update_bill. Paginated: pass limit (1-100, default 25) and offset; the response carries total and nextOffset — keep calling until nextOffset is null before totaling. Figures are estimates from user-entered data — not tax, financial, investment, insurance, or legal advice.

  ConnectorOAuth

• send_inquiryA

  JustIdea AgencyA

  Send a sales inquiry to JustIdea Agency (Kraków, Poland) on behalf of the user. It goes to the agency CRM and the sales team, the sender gets a short confirmation e-mail, and a person replies within one business day. Use only details the user gave you. Never invent a name, e-mail or phone number. Before sending, show the user what will be sent and ask for consent to data processing under the privacy policy (https://justidea.agency/en/privacy-policy/); set zgoda to true only after they agree. Budgets are in PLN net ("tys. zł" = thousand PLN). At most 2 inquiries per e-mail address per day. Urgent matters: phone +48 12 400 40 40.

  ConnectorNo auth

• handoffs.partnershipA

  AI Design BlueprintA

  Authenticated: creates a partnerships handoff record for design-partner, ecosystem, training, or advisory conversations needing human review. Persists a PartnershipHandoff row routed to the partnerships inbox; the user is contacted by the team. WHEN TO CALL: user explicitly wants to engage as a design partner, co-marketing/training partner, or evaluate the Blueprint for their org's training programme. ALWAYS confirm with the user before firing: this creates a human-visible partnerships ticket. WHEN NOT TO CALL: for general support / billing / access issues (use handoffs.operator); for paid-engagement enquiries (use handoffs.agency); proactively or as a sales prompt, only when the user has explicitly asked. BEHAVIOR: write-only, single insert, side-effecting (creates a ticket). Auth: Bearer <token> (any plan). Data at rest in the UK. Response confirms the ticket id + audience so the user can reference it.

  ConnectorNo auth

• submit_feedbackA

  ContinueOps Public MCPA

  Report that a public ContinueOps page or MCP tool response is incorrect, outdated, incomplete or confusing, so the team can fix it. Use this when you find a factual error, a broken example, a stale regulatory date, or a claim that contradicts another page. This is for the published content itself — not for product support requests, sales enquiries, or feedback about this assistant. Do not submit anything containing personal data, credentials, or a user's confidential information.

  ConnectorNo auth

• handoffs.partnershipA

  AI Design Blueprint DoctrineA

  Authenticated: creates a partnerships handoff record for design-partner, ecosystem, training, or advisory conversations needing human review. Persists a PartnershipHandoff row routed to the partnerships inbox; the user is contacted by the team. WHEN TO CALL: user explicitly wants to engage as a design partner, co-marketing/training partner, or evaluate the Blueprint for their org's training programme. ALWAYS confirm with the user before firing: this creates a human-visible partnerships ticket. WHEN NOT TO CALL: for general support / billing / access issues (use handoffs.operator); for paid-engagement enquiries (use handoffs.agency); proactively or as a sales prompt, only when the user has explicitly asked. BEHAVIOR: write-only, single insert, side-effecting (creates a ticket). Auth: Bearer <token> (any plan). Data at rest in the UK. Response confirms the ticket id + audience so the user can reference it.

  ConnectorNo auth

• get_inquiry_statusA

  vipcarsA

  Check the processing status of an inquiry previously sent with send_inquiry, using the status_token from its response. The token is issued ONLY to the inquiry's creator — possession proves ownership; there is nothing to guess or enumerate. Returns ONLY the processing status, never any customer data. Status values: novo (received, not yet read), procitano (read by the sales team), odgovoreno (the team has contacted the customer), zatvoreno (closed).

  ConnectorNo auth

• get_statsA

  AIm Workout JournalA

  Statistics for ONE exercise, or for training as a whole. The user's goals, injuries, per-muscle weekly sets and recent working weights for a review of their training are in get_coaching_context (task='weekly_review'). The parameter is named `kind`, not stat_type/stat/type/metric. It defaults to 'volume', the only value that needs no exercise_id. exercise_id is REQUIRED for kind='progression' and kind='prs' (they are per-exercise) and is ignored for kind='volume' (whole-training-volume over time). Progression or prs without an exercise_id is an error, not a whole-library default; exercise ids come from list_exercises. 'progression' → per-date top set, est-1RM (Epley), volume + PRs; 'prs' → personal records; 'volume' → total training volume over time with trend %. One movement the user logged under several catalogue rows is read as one history; `same_movement_ids` then lists those rows. get_coaching_context bundles these numbers with the user's goal and context for planning.

  ConnectorOAuth

• research-prospectA

  GigSoul x402A

  Research a sales prospect company: company profile, decision-maker role profile (role-level, not a named person), likely pain points, and an outreach angle. Use before writing outreach; then use generate-cold-email. Based on model training knowledge, not a live lookup; figures are estimates. Pay-per-call: $0.06 USDC on Base via x402. Without a payment-signature header the call returns an error whose data carries the payment terms.

  ConnectorNo auth

• train_paint_lab_styleA

  Clip Studio MCPA

  Start training your own Paint Lab style from a quote. Uses this month’s generation allowance. Returns the style at once (status submitting or queued); poll get_paint_lab_trained_style until status is ready or failed. Training takes a few minutes. Retrying with the same quoteId returns the same style and never charges twice. A failed training returns its allowance.

  ConnectorOAuth

• get_ai_at_work_courseA

  AI Rollout FrameworkA

  Returns the public outline of AI at Work, the employee AI training course: modules, what is included, seat tiers and the guarantee. Use it for questions about employee training. It does not return transcripts or quiz content. To check readiness, use assess_ai_readiness.

  ConnectorNo auth

• preview_program_importA

  Phorme TrainingA

  Use this when the user wants to turn a multiweek training program from this conversation into trackable Phorme training. It checks every week and workout, matches exercises to the Phorme movement library, and stores a private preview for 24 hours. It does not save training to any account. Do not use it for a single workout, nutrition plans or medical questions.

  ConnectorNo auth

• waveguard_scanA

  WaveGuardB

  Find outliers and anomalies in structured data — ideal as a second step after pulling records from Google Sheets, Airtable, Supabase, Notion databases, HubSpot, Financial APIs, GitHub, NPM, or any source that returns rows of JSON. Fully stateless: send known-good rows as training and suspect rows as test in ONE call. Returns per-row anomaly scores, confidence levels, and the top features explaining WHY each row was flagged. Typical workflow: (1) Pull data from another tool (e.g. Google Sheets, Supabase query, HubSpot deals). (2) Pass the first N rows as training (normal baseline). (3) Pass remaining or new rows as test. (4) Report which rows are anomalous and why. Works on JSON objects, numbers, text, arrays. No separate training step required. Examples: - Spreadsheet QA: Pull 500 sales rows from Sheets → train on first 400 → test last 100 → flag outlier entries - Financial screening: Get ratios for 50 stocks from a financial API → find anomalous ones - CRM hygiene: Pull HubSpot deals → flag deals with unusual discount/value patterns - Dependency audit: Get NPM package metrics → flag packages with anomalous quality scores - Commit review: Pull GitHub commit metadata → flag unusual commit patterns

  ConnectorNo auth

• search_linkedin_navigatorA

  Salesbot - B2B outreach LinkedIn MCP Server with CRM and emailA

  Use when you already have a LinkedIn or Sales Navigator search URL. To search by criteria use search_linkedin_people. Run a PEOPLE search from a Sales Navigator or standard LinkedIn search URL and return raw profiles. For company/account URLs use import_linkedin_company_list, which persists a real company list. Sales Navigator URLs require Sales Navigator mode in workspace Settings and an active subscription. URL query filters are preserved. Every provider page is atomically reserved under the matching Salesbot safety preset (Classic max 2 pages/20 profiles; Sales Navigator max 3/30).

  ConnectorAPI key

• waveguard_scanA

  WaveGuardA

  Find outliers and anomalies in structured data — ideal as a second step after pulling records from Google Sheets, Airtable, Supabase, Notion databases, HubSpot, Financial APIs, GitHub, NPM, or any source that returns rows of JSON. Fully stateless: send known-good rows as training and suspect rows as test in ONE call. Returns per-row anomaly scores, confidence levels, and the top features explaining WHY each row was flagged. Typical workflow: (1) Pull data from another tool (e.g. Google Sheets, Supabase query, HubSpot deals). (2) Pass the first N rows as training (normal baseline). (3) Pass remaining or new rows as test. (4) Report which rows are anomalous and why. Works on JSON objects, numbers, text, arrays. No separate training step required. Examples: - Spreadsheet QA: Pull 500 sales rows from Sheets → train on first 400 → test last 100 → flag outlier entries - Financial screening: Get ratios for 50 stocks from a financial API → find anomalous ones - CRM hygiene: Pull HubSpot deals → flag deals with unusual discount/value patterns - Dependency audit: Get NPM package metrics → flag packages with anomalous quality scores - Commit review: Pull GitHub commit metadata → flag unusual commit patterns

  ConnectorNo auth

• log_rest_dayA

  Wellness ProjectA

  Mark a date with user-selected day context: Rest Day, Sick Day, or Travel Day. Use Rest Day when the user intentionally takes the day off training, Sick Day when they say they are sick/recovering, and Travel Day when they say they are traveling. This context is visible to the AI team and workout-history reads. Rest/Sick retain the existing rest-day training behavior. Travel is context-only: it does not mean the user skipped training and can coexist with a workout. INFER — do not ask: - date: parse the user's reference; default to today - day_type: infer rest, sick, or travel from the user's wording; default to rest Calling again on the same date updates the status in place. To remove the status, use cancel_rest_day.

  ConnectorOAuth

• contact_formA

  EnpitechA

  Opens Enpitech's contact form as a view in the conversation, where the user types their own name, email and message, plus an optional phone number and company, and submits it. Use it when the user wants to get in touch with Enpitech about frontend engineering work: frontend is the bottleneck their releases wait on; AI-generated frontend code their team cannot safely merge; senior React engineers embedded in a product team; AI features, an MCP app, or an agent-ready interface built into their product; private training for their team on AI-assisted frontend delivery or Claude Code; hosting, sponsoring or speaking at a frontend meetup. It opens a form and answers no questions. The tool itself sends nothing: it returns the contact surface the form opened on, and the enquiry is sent by submit_contact when the user submits.

  ConnectorNo auth

• community_board_helpA

  Community BoardA

  Use this when the user just says 'Community Board' or 'community-board', asks what this app can do, or asks for help or examples ('מה אפשר לעשות כאן?', 'עזרה'). Returns a summary, supported capabilities, the live category list, example requests in Hebrew and English, current limitations and search tips.

  ConnectorNo auth