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753,265 tools. Updated 2026-11-06 20:09

"Finding people on LinkedIn by their name" matching MCP tools:

  • Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.
    ConnectorNo auth
  • <summary>Attach a file from the user's library to a queued outreach email or LinkedIn message. Only attach when the user explicitly asks to attach a specific file to someone's message — never on your own initiative. attachment_id comes from list_attachments. Name the queued message by exactly one handle: recipient_email for a queued email (pending or awaiting approval); target_provider_id for a queued LinkedIn message, or target_identifier for one whose profile is still resolving — both as shown on the row in manage_linkedin_invite_queue's status read. On LinkedIn only messages carry files, not connection requests or InMails, and LinkedIn takes fewer file types than email; a file the channel can't send is refused with the reason. The same file can be attached to several messages.</summary> <returns> <description>The attached file's name and every file now on that message, shaped `{'attached': True, 'filename', 'attachments': [{'id', 'filename', 'mime_type', 'size'}]}`.</description> </returns>
    ConnectorOAuth
  • Change a play's own knobs — name, goal, voice — its two switches, and the ACCOUNT's pacing (daily action cap, working hours: shared by every play on the LinkedIn account, not per play). `paused: true` is the human's stop button (nothing runs, nothing is sent); `paused: false` resumes. `status: 'active'` LAUNCHES a draft; `status: 'draft'` takes it back off the road. Seat rule, enforced server-side: no live LinkedIn seat ⇒ neither launch nor resume makes it active — it stays/falls back to draft and the note says so. Launching or resuming kicks the play's due lanes at once. Only launch, resume or raise the cap when the human asked for it in this conversation: an active play spends the month's lead quota and acts from the human's own LinkedIn account. Does not touch the autonomy ladder.
    Connector
    Destructive
    No auth
  • Rahul's contact details (email, LinkedIn, portfolio), with an option to email him directly. Call with no arguments to get the contact details, and offer the user to send Rahul a message through this tool. Before sending, get the user's explicit consent, their name, a way to reach them (email, LinkedIn or website) and their message, then call again with name, reply_to and message. Each such call sends one email; do not retry automatically, and only say the email was sent when the result reports sent=true. Args: name: The sender's name. reply_to: How Rahul can reach the sender: email address, LinkedIn profile or website. message: The message or introduction to send Rahul.
    ConnectorNo auth
  • Sets up a monitor: a check Manifold repeats on a schedule, keeping each result so it can report what changed. Urgent changes reach the user as an email alert. Show the monthly cost from preview first, then create it once the user agrees. Give it a description saying why the user wants it, so an agent reading its changes later knows what to do with them. Use when: "monitor this every week", "keep an eye on X", "tell me when Y changes", "check Z every hour", or the user ran the same check by hand before and wants it repeated. Not for: a one-off look, call the tool itself (reddit_search_posts, seo_get_page, seo_get_position, ads_get_advertiser_ads). Reading what a monitor found, use monitoring_get_changes. Returns: Record. monitor (monitor_id, name, description, preset, status, cadence, fields, est_credits_check, est_credits_month, next_check_at), created (false on preview). The first check runs within five minutes and records a starting point; changes are reported from the second check on. Fields by preset: mentions {keywords (up to 10), platforms (reddit, linkedin, instagram, tiktok, youtube; default reddit), communities (Reddit, every new post read in full), pages (1 to 3 per community per check)}, where Instagram searches each keyword as one hashtag ("acme crm" reads #acmecrm), so use a keyword people tag; social_accounts {accounts [{platform (twitter, linkedin, instagram, tiktok, youtube, facebook), account (handle, or URL for facebook and linkedin)}] (1 to 10)}; reviews {items [{source app_store or google_play, app_id} or {source google_maps, place_id or cid} or {source google_shopping, product_id, gid}] (1 to 5), stars, location}; website_changes {pages (1 to 10 URLs), mode (new_items: new links under the page and prices; any_change: new text), words}; ads {brands (1 to 5, a website works best), platforms (facebook, google, linkedin, tiktok)}; google_rankings {site, keywords (1 to 50), location}; ai_visibility {brand, aliases (other names for the brand, up to 5), domain (the brand's site, for citation share), questions (1 to 25; ones that name the brand are counted apart), competitors (up to 9), engines, samples (1 to 3), location, language}. cadence is hourly, daily or weekly; checks repeat from the first one. A bad field is InvalidTarget naming it. Cost: 0 credits to create. Each check charges for the calls it makes at their own prices, shown as est_credits_check and est_credits_month. Monitor checks read live data, never the cache. Example: {"preset": "mentions", "fields": {"keywords": ["acme crm"], "platforms": ["reddit", "linkedin"]}, "description": "Threads asking for a CRM, to answer while they are fresh.", "preview": true}
    ConnectorAPI key
  • Find people on LinkedIn by keywords and filters. The right tool when you have a name, role, or 'who is the X at Y' question without a profile URL. Pass keywords (free text: name, title, or both) and any of first_name, last_name, title, school, current_company, past_company. If keywords is omitted it is derived from the name or title filters; school or company filters alone are rejected with INVALID_INPUT, so include keywords with those. Company filters accept a company name, slug, numeric id, or URN. current_company names are matched by LinkedIn's own company search: typo-tolerant and fuzzy, so results can include people whose headline merely mentions the company; when you need exact filtering, pass the numeric id or URN (linkedin_get_company returns both). past_company names are resolved to an id for you. Costs 10 credits including the first 10 results; each further 10 results add 1 credit (limit max 30; trial keys max 10). A cursor page is a NEW call priced the same way by its own limit, so one limit=30 call is much cheaper than three limit=10 pages; prefer a larger limit over paginating. Do NOT combine a past_company NAME or a company-URL filter with limit=30: resolving those spends one of the call's three internal fetches, so that combination is rejected; keep limit<=20 with them or pass the numeric id. current_company names never spend a fetch, so they combine with any limit. Returns name, position, location, urn, public_identifier per result, a cursor for the next page, and total_matches. Results with is_anonymous=true are private profiles; do not pass them to linkedin_get_profile. For one known person with a URL/slug, call linkedin_get_profile directly instead.
    ConnectorOAuth

Matching MCP Servers

  • A
    license
    A
    quality
    A
    maintenance
    Local-first memory for AI agents about the people in your life. MCP server + CLI on SQLite. Never phones home.
    41
    201 PyPI
    60
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Multilingual name romanization lookup across Chinese, Japanese, Korean, Arabic, Vietnamese, and more. Resolves whether two name spellings refer to the same person — Chan/Chen/陳/陈, Hsu/Xu, Chou/Zhou — across Pinyin, Wade-Giles, Cantonese, Hokkien, and other romanization systems.
    MIT

Matching MCP Connectors

  • PeopleOAuth

    Pessoas, histórico e anotações dos seus clientes

  • LinkedIn: The LinkedIn Data API offers access to detailed information on individuals, companies.

  • Send a one-off LinkedIn message to a specific saved contact outside any campaign. Prefer contact_id; Salesbot resolves the LinkedIn identifier internally. A random delay, daily/hourly limits, allowed hours and human approval are enforced. Refused with code DUPLICATE_RECENT_MESSAGE (and the campaign name + date) when a campaign of this LinkedIn account already messaged the person within the last 30 days; to continue an existing conversation use reply_to_chat.
    ConnectorAPI key
  • Delete EVERY object of one type from the user's graph, however many there are: what to reach for when they ask to clear out a whole category ('delete all my HubSpot contacts') rather than one record. Pass import_id instead to delete everything one import added (its contacts, companies, notes and files, the uploaded file and the import itself); imports are graph objects of type 'import_run'. Pass source 'linkedin_import' instead to delete every connection a LinkedIn export loaded and the people made from them. Deleting one object is delete_graph_object instead. This delete is permanent, and at this scale it is the only kind that helps: a synced portal can be millions of records. Use only when the user explicitly asked for these to go, never on your own initiative, and name one type, import or source per call. In chat this tool deletes nothing: it counts the records and returns what to tell the user, and their click starts the deletion.
    Connector
    Destructive
    No auth
  • The user's LinkedIn post analytics from LinkedIn's own API (their connected account) — impressions, unique members reached, reactions, comments, and reshares. Use for questions like 'how many impressions did I get last month?' or 'how are my posts performing?'. Omit dates for lifetime totals; pass start_date/end_date for a window; set daily=true (with one specific metric) for a per-day series to describe trends. Numbers are live from LinkedIn, unlike get_my_linkedin_posts whose per-post counts come from a periodic sync.
    ConnectorNo auth
  • Synchronize one provider-safe page (at most 500) of the API-key owner's 1st-degree LinkedIn relations into the local workspace cache. This is a provider read, not a LinkedIn people search, and does not consume the search quota. The server persists continuation state and atomically enforces a 15–20 minute delay, four-page hourly cap, and twelve-page daily cap across UI and MCP. Respect RELATIONS_SYNC_PROTECTED retry_after_seconds before continuing.
    ConnectorAPI key
  • <summary>Add and/or remove watched people or company pages on an existing `list`-mode LinkedIn monitor, incrementally — you pass only the profiles that are changing, never the whole list. `add` and `remove` are LinkedIn profile URLs or vanity slugs for people, and full `linkedin.com/company/...` URLs for company pages (a bare company name or slug is read as a person's slug). A swap is one call (`add=[new]`, `remove=[old]`). Both forms of one profile (full URL and bare slug) collapse to a single watched member, so re-adding someone already watched is a no-op. The change takes effect on the monitor's next scheduled run. Use this instead of re-running `set_up_linkedin_monitoring` whenever the user just wants to tweak who's watched ("also watch Bob", "drop Alice"): setup would force re-passing every existing member, and since each watched profile is billed per run, one dropped URL on the re-echo silently stops watching that person. To change schedule, voice, or the action flags, use `set_up_linkedin_monitoring` (members are preserved there when omitted); adding the very first members or resetting the whole list is setup too.</summary> <returns> <description>Dict with status ('active'), name, members_count, added, removed, unresolved, and message.</description> </returns>
    ConnectorOAuth
  • SPENDS CREDITS, AND BY DEFAULT METERED EMAIL VERIFICATION. Adds people from the Lead Finder contact database to a campaign as leads, revealing their contact details, in the background. Pass refs (from search_lead_finder results; up to 1,000 different people by default) to add exactly those people, or pass filters and count (1 to 5,000 by default) to add count people matching the filters who are not in the workspace yet. A filters add always walks the matches from the top and skips anyone already a lead, free and not counted, so repeating the same add adds the NEXT count people and charges again. Never repeat an add to retry: after an error or a timeout, call list_lead_finder_imports to see whether it started. A filters add stops early when the audience runs out or once it has looked at five people for every one requested (at least 1,000). People already added count toward that limit even though skipping them is free, so after an add of more than about 1,000 people a small follow-up can stop with nobody added. Every person a filters add looks at, added or skipped, also uses the account's daily allowance for filters adds (25,000 people by default). Each person added costs 1 credit ($0.033 at list), reported as creditsPerProspect; the response reports estimatedCredits, the most the add can cost in credits, and the wallet must hold that much for it to start. People already in the workspace, blocklisted, without a usable address, on a personal mailbox when the campaign only takes business addresses, or marked invalid by verification are skipped and cost no credits. verifyEmails (on by default) checks every screened address with the paid email verification waterfall, including the ones it marks invalid: one or two checks per address, billed as metered usage on the next invoice (price per check: GET /email-verification/rates in the REST API), within the account's monthly verification spend limit. Catch-all and unconfirmed addresses are added and charged, and so is every address once that limit is reached; verification.limitReached and verification.unknown on get_lead_finder_import count them. Leads added to a running or paused campaign get their emails at once (a paused campaign sends them when resumed); adding to a completed campaign resumes it, so it starts sending again; in a draft campaign the emails are created at launch. At most 3 adds run at once in a workspace. A refusal names its reason, and a 429 also says when to retry (reason running_imports, daily_import_limit, daily_budget, monthly_budget or fair_use_floor). Poll get_lead_finder_import with the importId until finishedAt is set. Check get_credit_balance first; buy credits with purchase_credits.
    ConnectorNo auth
  • Merge a duplicate CRM company into another one (e.g. 'Škoda JS' into 'Škoda Group'). All people move to keep_crm_company_id, empty details are filled from the duplicate, account notes are joined, the duplicate's name is remembered as an alias so future leads with that name land in the kept company, and the duplicate is deleted. Cannot be undone — only merge when both records are clearly the same organisation (check with get_crm_company), and confirm with the user when unsure. Prefer keeping the company imported from LinkedIn.
    Connector
    Destructive
    API key
  • PERMANENTLY delete saved contacts (LinkedIn profiles) including their campaign memberships, scheduled actions and campaign history. Contacts with pending or in-progress campaign steps are refused unless force: true (prefer exclude_contacts_from_campaign when the goal is just to stop outreach). Linked CRM leads are kept (unlinked) unless delete_crm_leads: true. Cannot be undone: only on the user's explicit request, show them the contacts first and pass confirm: true after they agree.
    Connector
    Destructive
    API key
  • Store a value the customer supplies for one person, such as a link to a video they recorded, so a LinkedIn message, email, X DM or Instagram DM step declared with tool customer_input can send. Identify the person by exactly one of leadId, LinkedIn profile URL, email address or X handle. values maps the sequence's token names (for example video_url) to the customer's text; the key comes from the sequence, the customer never types it. One call fills every step of that person's sequence that uses the token and has not sent yet. A LinkedIn message, opted-in email or X DM step may instead ask for a file for each person (tool customer_input attachment, for example a personalised demo video). Limits are the providers': LinkedIn 15 MB per message together with the step's own files; email one document, image or MP4 up to 18 MB (1.5 MB from Microsoft mailboxes); X one image up to 5 MB, GIF up to 15 MB or MP4 video up to 50 MB and 140 seconds. Nothing is compressed: a larger file is refused with the limit and the way forward, which you relay as written (compress it and try again, or send a video link instead). A link to a video (Loom, YouTube, Drive) is a text value such as video_url, not a file. To send a file, call once with upload { key, fileName, size } to get a one-time uploadUrl, PUT the file's bytes there with the returned headers, then call again with files { key: uploadTicket }; if you cannot upload bytes yourself, give the customer the returned appUrl to add the file in the app instead. For several people at once (the customer has already decided which file is whose; do not second-guess their pairing), call with uploads [{ leadId or linkedinUrl or email or xUsername, key, fileName, size }] (up to 25, no top-level person) to get one uploadUrl and uploadTicket per person, PUT each file, then call with confirmUploads [uploadTicket, ...] to attach them all. Each person succeeds or is refused on their own with a reason; tickets last two hours and confirming one again is harmless, so a rerun only adds what is missing. Afterwards list_leads with sequenceId and personalFiles=true shows which file each person has. Nothing is sent in this call: the paced engine sends on its next run if the person is at that step, or when they reach it. A value or file for someone who already replied, finished, or already received that message is refused with nothing changed. The result includes how many people in that sequence are still waiting. Open world: the stored value releases a held message to that person, a third party.
    ConnectorOAuth
  • Store a value the customer supplies for one person, such as a link to a video they recorded, so a LinkedIn message, email, X DM or Instagram DM step declared with tool customer_input can send. Identify the person by exactly one of leadId, LinkedIn profile URL, email address or X handle. values maps the sequence's token names (for example video_url) to the customer's text; the key comes from the sequence, the customer never types it. One call fills every step of that person's sequence that uses the token and has not sent yet. A LinkedIn message, opted-in email or X DM step may instead ask for a file for each person (tool customer_input attachment, for example a personalised demo video). Limits are the providers': LinkedIn 15 MB per message together with the step's own files; email one document, image or MP4 up to 18 MB (1.5 MB from Microsoft mailboxes); X one image up to 5 MB, GIF up to 15 MB or MP4 video up to 50 MB and 140 seconds. Nothing is compressed: a larger file is refused with the limit and the way forward, which you relay as written (compress it and try again, or send a video link instead). A link to a video (Loom, YouTube, Drive) is a text value such as video_url, not a file. To send a file, call once with upload { key, fileName, size } to get a one-time uploadUrl, PUT the file's bytes there with the returned headers, then call again with files { key: uploadTicket }; if you cannot upload bytes yourself, give the customer the returned appUrl to add the file in the app instead. For several people at once (the customer has already decided which file is whose; do not second-guess their pairing), call with uploads [{ leadId or linkedinUrl or email or xUsername, key, fileName, size }] (up to 25, no top-level person) to get one uploadUrl and uploadTicket per person, PUT each file, then call with confirmUploads [uploadTicket, ...] to attach them all. Each person succeeds or is refused on their own with a reason; tickets last two hours and confirming one again is harmless, so a rerun only adds what is missing. Afterwards list_leads with sequenceId and personalFiles=true shows which file each person has. Nothing is sent in this call: the paced engine sends on its next run if the person is at that step, or when they reach it. A value or file for someone who already replied, finished, or already received that message is refused with nothing changed. The result includes how many people in that sequence are still waiting. Open world: the stored value releases a held message to that person, a third party.
    ConnectorOAuth
  • Search the user's Google Contacts (saved contacts + Google's auto-collected "other contacts") across all connected Google accounts, by name (or partial name/email). Returns each match's name, primary email, full email list (for people with several addresses), and source ('contact' = saved, 'other' = auto-collected). Use this to resolve a person's NAME to an email address before composing/sending a message — on 0 matches, fall back to searching past message history or ask the user directly; on multiple matches, ask the user which one before proceeding. Accounts without the contacts scope are skipped and reported in `errors` with a reconnect hint. Call list_accounts to learn account labels. Read-only — no contact writes.
    ConnectorOAuth
  • People matching title, seniority and company filters. No email. Use when: "find heads of marketing at fintech startups", building a target list by role, prospecting by ICP. Not for: someone to email at a specific website about a link, use leads_get_domain_emails (keyed by domain). One person's full record, use leads_get_person. An email for a named person, use leads_get_email. Returns: List. rows[]: id (the LinkedIn profile URL; null when the person has no profile, so look them up by name and domain), first_name, last_name, headline, title, title_start (YYYY-MM, so time in the role), company, company_domain, company_id, company_linkedin_url, company_employees, company_industry, location, linkedin_url. rows_available is the provider's total. Give at least one of titles, seniority, company_domains, industries, locations or keywords. A page holds at most 100 rows whatever the limit; page on with meta.cursor. Cost: 12 credits per 100 rows asked for (limit), rounded up. Default 12 credits. Cached 7 days. Example: {"titles": ["head of marketing"], "industries": ["fintech"], "locations": ["London"], "limit": 50}
    ConnectorAPI key
  • TikTok videos matching a keyword, ranked by the platform's own search. Use when: "what is TikTok saying about X", finding creators in a category, watching a product or a brand name. Not for: one account's own videos, use tiktok_get_videos. A complete window of everything posted (TikTok search is ranked and never complete). Returns: List, ranked. rows[]: videos with author and author_followers, created_at, text (cut at 2000 characters), likes, comments, shares, saves, views, media, duration_s, links, transcript and top_comments[]. saves is how many people saved it, music the sound, and author_followers sizes each creator without another call. null or empty = the platform does not publish it. Cost: 1 credit per page. Cached 6 hours. Example: {"query": "creatine gummies", "since": "month", "sort": "popular"}
    ConnectorAPI key
  • The advertisers matching a brand name in Google's ad library, with their ids. Use when: before ads_get_advertiser_ads on Google, because that library is keyed by advertiser id and one brand has one entry per region. Not for: the ads themselves, use ads_get_advertiser_ads with the id this returns. The other libraries, which search their ads directly with ads_search_ads. Returns: List. rows[]: platform, id, name, region, ads_estimate, website. Cost: 1 credit. Cached 7 days. Example: {"platform": "google", "query": "lululemon", "region": "US"}
    ConnectorAPI key
  • Look up one person by email or by public LinkedIn person URL (send exactly one; an email is matched to a LinkedIn profile first). Returns person: name, title, headline, location, company {name, domain}, linkedin, and connections (previously observed public follows) when there are any; person is null when nobody matches. Add find: ["x"] to get their X account, returned only when its name matches and its own bio or link points at their LinkedIn, company domain or company name (x.evidence says which). Add find: ["work_email"] for a work email; check workEmail.matchesCompanyDomain before using it. Add find: ["mobile"] for a verified mobile number (about 10 Energy when one is found). A requested extra that did not come back is listed in missing with a reason (not_found means no confident match, not that it does not exist). Uses workspace Energy; energyUsed is what this call spent and energyLeft the balance after it. Read energy.peopleDataPricing first; cached lookups are free. Requires Energy enabled. Add leadId (one of your own leads, the same person) with find: ["work_email"] to save the found email on that lead; lead.email says attached, lead_has_email, different_person, email_on_another_lead or no_email. Never overwrites an existing email. Does not create leads or send outreach. Repeated calls can cost Energy; never automatically retry a timeout or error. find_phone_number and find_work_email run this same lookup when only a phone number or work email is wanted. Use find_people for audience discovery, not this tool.
    ConnectorOAuth