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228,550 tools. Last updated 2026-06-23 19:23

"Find the LinkedIn profile of Satya Nadella" matching MCP tools:

  • Generate a secure LinkedIn connect (or reconnect) link the user opens in their browser to authenticate. Use when get_linkedin_status shows not connected/blocked, or after an ACCOUNT_NOT_CONNECTED/ACCOUNT_BLOCKED error. Returns a white-labeled https://auth.salesbot.cz link valid ~2 hours; the user just opens it and finishes LinkedIn login — nothing else is needed. profile_id optional (defaults to active/first profile). Set reconnect=true to reconnect an existing blocked/expired account.
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  • User-facing LinkedIn creative comparison visual report renderer. Current app template: ui://linkedin/creative-comparison-v4.html. Use this directly when a user asks for a LinkedIn creative comparison visual report, creative performance report, creative winners/losers, or which creative concepts are performing strongest. It renders the visual MCP app with Overall/campaign views, creative action cards, primary results, diagnoses, and bottleneck diagnosis. It can either take comparisonPayload from linkedin_compare_creative_performance or fetch the comparison directly. For account-wide creative analysis, pass accountId and omit campaignId/campaignIds, or pass advertiserName/query so saved advertiser context or live account-name matching can resolve the LinkedIn account. Name-only account-wide requests are supported; do not claim the renderer requires a numeric accountId until this tool returns an account-selection blocker. lookbackDays accepts numbers and string aliases such as "30d", "30 days", and "past 30 days"; do not claim a numeric lookback is required. If accountId and name/query are omitted, the most recent LinkedIn account from session memory is used when available. For campaign-specific creative analysis, pass campaignId or campaignIds; if accountId is also supplied as parent context, set scope to campaign when possible. accountId plus campaignIds is accepted as a campaign-set compatibility shape.
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  • Compliance-first facility dossier by FEI number. Returns the facility profile plus recent inspections, citations, warning letters, import refusal history, import-alert mentions, recall context, freshness, and recommended next tools. Use this when you want the fastest FEI-level manufacturing risk view instead of the broader product-focused facility profile.
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  • Send a contact message to a broker on Venturu by their profile slug. Requires an authenticated Venturu account. Set inquiryType to "buying" (default) for buyer representation or "selling" for seller representation. Provide the broker slug and the message to send. Use search_brokers to find broker slugs.
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  • Send a contact message to a broker on Venturu by their profile slug. Requires an authenticated Venturu account. Set inquiryType to "buying" (default) for buyer representation or "selling" for seller representation. Provide the broker slug and the message to send. Use search_brokers to find broker slugs.
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  • Get the calling company's regulatory posture — saved entity types, actor roles per regulation, and active conditions. The profile defines WHICH regulations and roles apply to this company. Use the actor_roles to filter obligations with get_obligations(actor_role=...). The profile is the baseline — you can extend beyond it using get_actor_roles() to discover additional roles if your analysis suggests they may be relevant. If the profile is empty (profile_complete=false), the company hasn't completed onboarding yet. Guide them to set up their profile at app.velvoite.eu/account. No parameters needed — the profile is determined by the API key. Returns: company_name: Company name jurisdictions: Active jurisdictions (always includes 'eu') profile: entity_types: List of entity type codes (e.g. ['credit_institution']) actor_roles: Dict of regulation_code -> list of role codes (e.g. {'dora': ['financial_entity'], 'ai_act': ['ai_deployer']}) conditions: Dict of regulation_code -> list of active conditions (e.g. {'dora': ['uses_ict_third_party'], 'ai_act': ['always']}) profile_complete: Whether the company has selected at least one actor role
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Matching MCP Servers

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    MCP server that fetches LinkedIn profile information using the Fresh LinkedIn Profile Data API, allowing users to retrieve profile data in JSON format by providing a LinkedIn profile URL.
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    An intelligent bridge between Claude and LinkedIn. This MCP server empowers Claude to act as your high-level career consultant, capable of auditing your profile, optimizing your identity, and managing your professional content with real-time API access.
    Last updated
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    MIT

Matching MCP Connectors

  • linkedin-humblebrag MCP — wraps StupidAPIs (requires X-API-Key)

  • LinkedIn API as MCP tools to retrieve profile data and publish content. Powered by HAPI MCP.

  • Search the 12,338 curated, SAMHSA-sourced US addiction treatment facility directory by state, city, treatment type, and insurance. Returns matched facilities with name, city/state, programs offered, insurance accepted, phone, and browse URL. Use this to find candidates — then call get_facility_detail for one facility's full profile. If the user is uncertain about location coverage, call list_states first.
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  • Create or update a custom scoring profile. Profiles are sparse overrides: only specify the weights you want to change. Everything else keeps its default value. If a profile with this name already exists, it is updated with the new weights (full replacement, not merge). Weights are points, not percentages. Each weight is the number of points that signal adds to the score when it fires. They don't need to total 100. A profile with weights totalling 90 is conservative (max possible score is 90). A profile with weights totalling 130 is aggressive (multiple signals quickly push to the cap of 100). The threshold the agent sets for action matters more than the weight totals. Use show_defaults to see all 25 signals with their default weights and descriptions before creating a profile. Use check_url or check_urls with the "profile" parameter to score results with this profile. Maximum 20 profiles per account. Profile name "default" is reserved. Common profiles: - Cold email: weight parked (30), chain_incomplete (25), ssl_invalid (15) higher. Lower brand_impersonation (10). - Security bot: keep brand_impersonation high (40), increase domain_age_7 (30), redirects_5 (25). - Lead gen: weight parked (35), http_only (20), chain_incomplete (20) for dead business detection. - SEO audit: weight redirects_5 (30), chain_incomplete (30), parked (25) for link quality. See the Unphurl API documentation for all 19 use case weight examples.
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  • Fetch the full Charity Commission profile for a charity number. Returns trustees, latest income/expenditure, insolvency flags, governing document type, classifications, and countries of operation. Use charity_search first to find the charity number.
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  • Critical-path validation, logic health, and DCMA-14 assessment of a Primavera P6 schedule. Runs the CPP critical-path validator: checks for false criticality, constraint-driven CP segments, open ends, broken logic, and surfaces a DCMA-14 block with the 14 metrics (logic, leads, lags, FS%, hard constraints, high float, high duration, invalid dates, resources, missed tasks, critical tasks, CPLI, BEI, etc.) at the chosen profile threshold (commercial / nuclear / mining). When ``baseline_xer_path`` is supplied, BEI (Baseline Execution Index) is computed. Use this tool to grade a schedule's logic health and find what should be fixed before forensic analysis. For the full HTML health-dashboard PDF render, use ``dcma14_health_check``. Args: xer_path: server-side path to the schedule XER. xer_content: full text of the schedule XER (alternative for hosted/remote use). Supply EXACTLY ONE of path/content. project_index: which project to analyze in a multi-project XER (0 = first/primary; default). profile: DCMA threshold profile - 'commercial' (default), 'nuclear', 'mining'. baseline_xer_path: optional server-side baseline XER for DCMA BEI. baseline_xer_content: optional baseline XER text content (alternative). Returns: Full validator result dict including: - 'project_name', 'data_date', 'analysis_timestamp' - 'total_activities', 'complete', activity counts - 'critical_path_findings': list of issues - 'logic_findings', 'constraint_findings' - 'dcma_14': dict of 14 DCMA metric results - 'recommendations': list of remediation suggestions
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  • Fetch the full Companies House profile for a company number. Returns status, registered address, SIC codes, filing compliance (overdue accounts and confirmation statement flags), and whether the company has outstanding charges. Use company_search first to find the company number.
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  • Returns busy windows for YOU plus a set of named attendees from your Lyra contacts, within a time window. For each attendee you provide, the tool looks up whether their Lyra profile has a connected Google calendar; if so, their busy blocks contribute to the aggregated suggested_free_intervals. If not (or if they're not a linked Lyra profile), they're marked requires_manual_confirm: true so you know to ask them directly. Cap of 8 attendees per call. Privacy: per-attendee busy time ranges are returned, never event titles or summaries. Use this when you need to find a time that works for several people at once. Requires an active Google calendar connection on your own Lyra account and API key authentication.
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  • Find creators SIMILAR to one or more seed creators. Use this when the user already knows a creator they like and wants more like them (e.g., "find creators like @therock", "find more creators like these three I just booked"). Seeds are blended via creator-profile + visual-style + fact embeddings to surface similar accounts. Seeds are passed in `seed_creator_ids` (canonical UUIDs) and/or `seed_profiles` (platform + username; resolve handles via `autocomplete_creators` first if needed). Returns a ranked list of similar creators with scores. `limit` caps results (default 25, max 100). Use the flat follower, engagement-rate, and verified fields to constrain results. Use `semantic_search_creators` instead when you have a topic/niche but no seed. Use `match_creators` when you have specific candidates and want to score their fit against a brief. Examples: - User: "Find creators like @niickjackson on Instagram" -> use this tool with `seed_profiles: [{ platform: "instagram", username: "niickjackson" }]`. - User: "Find news creators with 1M+ followers" -> use `semantic_search_creators`, not this tool.
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  • Returns a national-level coverage profile for a specific holding company (by hoconum): states served, technologies deployed, and the number of locations covered at each download speed tier. Use fcc_search_providers to find valid hoconum values. Data is from FCC Form 477 (as of June 2021).
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  • Given a profile of the authorized test target (technology stack, exposed services, authentication type, OS), return a ranked list of ATT&CK techniques and OWASP test cases most relevant to that profile — not a generic dump of all techniques. Ranking factors: platform match, service match, auth type exposure, technique prevalence. Each result includes why it is relevant to this specific profile, the detection opportunity, and the recommended mitigation. Use when starting an authorized engagement to prioritize the testing scope; pair with pentest_guide to get the full methodology for each top-ranked vector.
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  • Fetch a single agency's full profile from Pick an Agency by its slug (the last path segment of its profile URL), including description, location, rating, services, website and a few recent client reviews. WHEN TO USE: after search_agencies or match_agencies returned a result the user wants to know more about, or when the user names a specific agency whose slug you already know. Don't guess slugs — find them via search_agencies first.
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  • Google X-Ray search for public LinkedIn profiles via Google operators (site:linkedin.com/in). Useful when you don't want to consume LinkedIn search limits. Found profiles are saved into your contacts (in a 'Google X-Ray' list, deduplicated by profile URL) and the tool returns their contact_id values. To move them into the CRM, add them to a campaign with add_contacts_to_campaign (auto-creates CRM leads) or use a CRM tool like set_deal_stage. Paginates Google results and auto-filters duplicates.
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  • Read back the persisted brand profile without modifying it. Use it to confirm a profile landed as expected, to check the active profile a run is bound to, or to inspect the current shape before a partial update. Pass `brand_id` to read one profile; omit it to list all (brand_id, updated_at) summaries. Returns the full profile JSON, schema_version, created/updated timestamps, and a brand_kit_sync_status indicating whether the profile's mirrored fields are in sync with the brand kit.
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  • Publish a post immediately to the user's connected social accounts (Instagram, TikTok, LinkedIn). ALWAYS confirm with the user first (target platforms + caption). Instagram and TikTok require at least one image or video in media_urls; LinkedIn allows text only. Pass generated asset URLs (Supabase-hosted) as media_urls. If the user isn't subscribed or hasn't linked the platform, the result will instruct you to show a connect card, do not retry in that case.
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  • Paginated browse of the healthcare service provider directory filtered by category, location, and minimum quality score. Returns a page of providers with {company_name, category, city, state_abbr, quality_score (0-100), verified status, contact info, slug}. Use this for open-ended exploration and filtering — for scored recommendations to a specific practice profile, use match_practice instead. Pass a returned slug to get_provider_detail for the full profile.
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