"A platform for finding people on LinkedIn by their name" matching MCP tools:

• audiala_contact_team

  Audiala

  Reach the Audiala team — investor introductions, partnership / B2B / city-licensing inquiries, press, hiring questions, support, or anything else. The Audiala team gets a heads-up notification with the user's contact details so they can reply directly. **Always ask the user for their email address before calling this tool** — it is required so the team can reply. Optionally also collect their name and organization. The tool returns the right Audiala mailbox, the founder's LinkedIn, and a suggested intro template the user can adapt if they want to reach out themselves as well.

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• bulk_schedule

  SendIt

  Schedule multiple posts at once from CSV content. USE THIS WHEN: • User has a spreadsheet or list of posts to schedule • Planning a content calendar for a month • Migrating content from another tool CSV FORMAT (required columns): • platform: linkedin, instagram, x, tiktok, threads • scheduled_time: ISO 8601 format (e.g., 2024-02-15T10:00:00Z) • text: Post content/caption OPTIONAL COLUMNS: • media_url: Image or video URL • first_comment: First comment to add (Instagram/LinkedIn) • hashtags: Additional hashtags to append PROCESS: 1. First call with validate_only: true to check for errors 2. Review validation report with user 3. Call again with validate_only: false to execute import

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• enrich_contacts

  LinkedIn MCP Server (Salesbot)

  Enrich existing contacts with their full LinkedIn profile data via the connected LinkedIn account (Unipile) — headline, location, current company & position, full experience, education and skills are scraped from each contact's profile URL and saved onto the contact (and merged into profile_data). Use after search_google_xray to flesh out lightly-saved leads. Each contact is a real LinkedIn profile view, so keep batches small; max 8 per call. Returns per-contact enrichment status.

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• linkedin_ads_report

  Hermoso

  LinkedIn ad performance — impressions, clicks, cost, website conversions, leads and social actions — pivoted by CAMPAIGN (default), CAMPAIGN_GROUP, CREATIVE, ACCOUNT, CONVERSION, PLACEMENT_NAME, IMPRESSION_DEVICE_TYPE, SERVING_LOCATION… or by AUDIENCE DEMOGRAPHICS: MEMBER_COMPANY_SIZE, MEMBER_INDUSTRY, MEMBER_SENIORITY, MEMBER_JOB_TITLE, MEMBER_JOB_FUNCTION, MEMBER_COUNTRY_V2, MEMBER_REGION_V2, MEMBER_COMPANY. The MEMBER_* pivots are what LinkedIn is uniquely good at — job title, seniority and company size are targeting dimensions no other platform reports — and LinkedIn allows exactly ONE pivot per report, so ask for them one at a time and join the answers yourself. An unknown pivot or granularity is refused BY NAME rather than forwarded. On a demographic pivot LinkedIn returns only the top 100 values, DROPS any value under 3 events (so the rows will not sum to the campaign total) and lags 12–24 hours behind the performance numbers — the note says so, every time. Window via since/until (YYYY-MM-DD). ZERO rows genuinely means no delivery in that window; say exactly that and never present zeros as measured performance. A LinkedIn TEST ad account NEVER returns analytics, and the note says so when that is what you are looking at. Read-only, free.

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• mixpanel_retention

  Hermoso

  MIXPANEL RETENTION — how many of the people who did a first thing came back and did another, cohorted by day / week / month. This endpoint is FULLY SUPPORTED, unlike segmentation and funnels, which Mixpanel has put in maintenance mode — so it is the one typed Mixpanel report to reach for first. retentionType "birth" cohorts people by their FIRST occurrence of bornEvent (new-user retention, and Mixpanel's DEFAULT); "compounded" counts anyone active. ⚠️ MIXPANEL REQUIRES bornEvent WHENEVER retentionType IS "birth", AND BIRTH IS THE DEFAULT — so a call with neither is refused HERE, for free, rather than spending one of the sixty hourly queries on their 400; use list_mixpanel_events first to name a real event. TWO FILTERS, NOT ONE: bornWhere filters who ENTERS the cohort, where filters the RETURNING event. And interval is the WIDTH of each bucket while intervalCount is HOW MANY of them — different knobs. Dates are YYYY-MM-DD and BOTH ENDS ARE INCLUSIVE, resolved in the PROJECT's timezone (UTC unless its owner changed it) rather than in yours. 60 queries/hour across the whole Query API (5 concurrent) — the tightest budget of any connector here, so widen a range rather than looping over days. Read-only, 0 credits.

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• list_linkedin_pages

  Hermoso

  List the LinkedIn COMPANY PAGES the connected account administers — id, name and the role held on each. ALWAYS call this before post_to_linkedin_page when there is more than one Page: publishing to the wrong company Page is a public mistake and Hermoso never chooses for the user. If it comes back empty, the account holds no Page admin role, or LinkedIn has not granted this app the organization scopes — say that plainly rather than guessing an id. Read-only, free.

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• search_linkedin_ads_targeting

  Hermoso

  Look up LinkedIn TARGETING entities by name and get their URNs — locations, job titles, industries, seniorities, company sizes, skills, job functions, interests, employers, degrees, fields of study, member behaviours. LinkedIn’s targeting values are opaque URNs (urn:li:geo:103644278 is the United States) with no guessable form, so ALWAYS resolve an audience here before passing it to create_linkedin_ads_campaign, and NEVER invent a URN — a made-up one either 400s or, worse, targets somebody else. If nothing matches, say so plainly. Read-only, free.

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• social_search

  socialbridge-mcp

  Search a single network for posts matching a query, returned as the unified Post[] schema and tagged with its platform. Keyless on TikTok, YouTube, and Pinterest. Instagram, Twitter/X, Reddit, and Facebook need operator-side credentials (returns credentials_required until set). Snapchat and Threads do not support keyless search (returns not_supported); LinkedIn is quarantined. To fan one query across every network at once, use search_all.

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• create_linkedin_conversion_rule

  Hermoso

  Create a LinkedIn CONVERSION RULE — the object LinkedIn attributes conversions to, and the prerequisite for send_linkedin_conversions. `type` is the behaviour being tracked (LEAD, PURCHASE, SIGN_UP, QUALIFIED_LEAD, KEY_PAGE_VIEW…). THE RULE IS BORN ASSOCIATED WITH NOTHING: until you attach campaigns with associate_linkedin_conversion_campaigns it attributes nothing, which also makes it the safe place to send test events — LinkedIn has no test mode on the wire, unlike Reddit. Pass associateAllCampaigns:true to attach it to up to 200 ACTIVE campaigns instead; that spends nothing but it changes what those live campaigns optimise toward and what their reports count, so ask the user first. Attribution windows are 1, 7, 30 or 90 days (365 only for SUBMIT_APPLICATION, PURCHASE, ADD_TO_CART, QUALIFIED_LEAD and LEAD). Creating a rule cannot spend money — it is a definition. Free.

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• share_result

  GitDealFlow — GitHub signals for startup investors

  Generate a ready-to-share social-media post (tweet, Bluesky, Mastodon, LinkedIn, Telegram) about a result the user just received from another VC Deal Flow Signal tool, plus the install command for the MCP server. Returns the post body, character counts per platform, and one-click intent URLs to compose the post in each network. WHEN TO USE: - The user just got a `get_trending_startups` / `search_startups_by_sector` / `get_startup_signal` / `get_deep_signal` result and says 'share this', 'tweet this', 'post this', or 'how do I tell people about this?'. - The user is writing a thread/post about startup engineering signals and wants the canonical install command + share copy. DO NOT USE FOR: - Posting on the user's behalf, this tool only composes the text + intent URLs. The user must click and confirm in the destination network. - Generating fake or speculative results, pass real data the agent received from another tool call. BEHAVIOR (two-step approval flow, see `approval_token`): - Step 1: call this tool with `summary` only. The server replies with an error (-32602) containing a `/share-approve?summary=...` URL the user must open. - Step 2: the user reads the proposed summary on that page, clicks Approve, and pastes the resulting 10-minute token back into the chat. Retry the tool with `approval_token` filled in and the SAME `summary` verbatim. - The token is bound to a hash of `summary`; if the agent rewrites the summary between approval and the retry, the call is rejected. - Composes platform-specific posts (Twitter ≤275 chars, Bluesky ≤295, Mastodon ≤495, LinkedIn ≤695, Telegram ≤995) with a consistent hook + insight + install URL. - Returns intent URLs (e.g. https://x.com/intent/post?text=...) so the user/agent can open the destination network with the post pre-filled. - Always includes the canonical install command `npx @gitdealflow/mcp-signal` and the SSRN paper link for credibility. PARAMETERS: - `summary` (string, required, 10-200 chars), the one-line takeaway to share. - `approval_token` (string, required after first call), the 10-minute token returned by the /share-approve page. - `network` (string, optional), 'twitter' | 'bluesky' | 'mastodon' | 'linkedin' | 'telegram' | 'all' (default: 'all'). - `mention_handle` (boolean, optional, default false), include @sipiteno attribution (twitter/bluesky/mastodon only).

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• search_creators

  Influship

  Find a creator by name/handle, while preserving legacy semantic creator search. Use this as the default creator lookup tool when the user gives a creator-ish string but not a canonical creator UUID: a handle, partial handle, display name, creator name, or profile-ish text. This is cheap, fast, and backed by the creator lookup index. If the user gives an exact handle on a specific platform (for example "@niickjackson on Instagram"), prefer `get_profile` first because it returns the full platform profile. If you need to resolve a rough creator name or partial handle first, use this tool with `query_type: "creator_lookup"`. For backward compatibility, this tool still accepts the old semantic-search fields (`platforms`, follower/engagement filters, `creator_kinds`) and routes legacy calls to the semantic endpoint unless the query clearly contains a handle/profile URL. For new topical/niche discovery calls such as "fitness creators in NYC" or "vegan recipe creators with high engagement", prefer `semantic_search_creators` because its name is explicit and less likely to be confused with exact creator lookup. Examples: - User: "Find @cris" -> use this tool with query "cris" and query_type "creator_lookup". - User: "Who is that fitness coach called Jane?" -> use this tool with query "Jane" and query_type "creator_lookup". - User: "Pull @niickjackson on Instagram" -> use `get_profile` with platform "instagram" and username "niickjackson". - User: "Find news creators with 1M+ followers" -> use `semantic_search_creators`, not this tool. Returns either autocomplete-style creator lookup results or legacy semantic results, depending on routing. Use returned creator IDs with `get_creator`, `find_lookalike_creators`, or `match_creators`; use returned platform usernames with `get_profile` or `get_posts`.

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• linkedin_audience_count

  Hermoso

  HOW MANY LINKEDIN MEMBERS a targeting spec reaches, before any budget is committed — the cheapest sanity check there is on a B2B audience, and it needs no ad account. Pass locations plus optional include:{titles, industries, seniorities, staffCountRanges, jobFunctions, skills, …}; search_linkedin_ads_targeting resolves any of those names to the URNs LinkedIn demands, free. THE CRITICAL THING TO SAY WHEN REPORTING: a returned total of 0 means the audience is UNDER 300 PEOPLE, not that it is empty — LinkedIn suppresses any count below 300 to protect member privacy, and 300 is also the minimum audience a campaign may run against, so a 0 means this targeting is too narrow to advertise to. The figure is a rounded approximation, so quote it as an estimate and never as a headcount. Read-only, 0 credits.

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• search_linkedin_ads

  Hermoso

  Structured LinkedIn Ad Library search by company name, keyword, or companyId — use for a targeted B2B pull; use research_ads for open-ended research. Returns compact JSON {advertiser, headline, description, cta, link, media, dates, impressions} per ad — LinkedIn is the one library exposing real impression counts. Spends ScrapeCreators credits (~1).

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• get_content_details

  flevy

  Full metadata for one Flevy item, by content_id from search_content (e.g. "doc-1234" or "case-567"). Documents return the author with their credentials (headline, bio, LinkedIn, profile URL; pass the author name to search_content's author filter to list more of their documents), full description, editor summary, AI summary, and editorial review when available, page/slide count, price, FlevyPro inclusion, management topics, ranking badge, and the number of slide deep dives available. Case studies return the client situation, TL;DR, and summary. Call this before recommending an item so you can describe it accurately and cite the author's credentials, and share the returned flevy.com URL.

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• web_search_exa

  exa

  Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.

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• chieflab_set_publishing_targets

  ChiefLab

  P79 — set per-workspace publishing target defaults so chiefmo_approve_action({ autoExecute: true }) doesn't need the agent to pass platform / recipient ids on every call. One-time setup per workspace. channelTargets is a map { linkedin: { accountId }, x: { accountId }, email: { fromEmail, recipientListId } }. Pass partial maps to update specific channels; pass `null` for a channel value to remove it. Persisted via deps.publishingTargetsStore when wired, otherwise in-process Map (Vercel function lifetime). Returns the merged channelTargets + storage location ('persistent' or 'in_memory').

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• list_locales

  Molt2Meet

  List locales supported by the Molt2Meet platform. Returns the URL slug (e.g. 'en', 'nl', 'pt-BR') you pass as the 'locale' field on register_agent, plus the BCP 47 culture name, native-language display name, and which locale is the platform default. No authentication required. Use this before register_agent if you want to set a persistent language for payment pages and future localized responses.

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• chieflab_set_publishing_targets

  ChiefLab

  P79 — set per-workspace publishing target defaults so chiefmo_approve_action({ autoExecute: true }) doesn't need the agent to pass platform / recipient ids on every call. One-time setup per workspace. channelTargets is a map { linkedin: { accountId }, x: { accountId }, email: { fromEmail, recipientListId } }. Pass partial maps to update specific channels; pass `null` for a channel value to remove it. Persisted via deps.publishingTargetsStore when wired, otherwise in-process Map (Vercel function lifetime). Returns the merged channelTargets + storage location ('persistent' or 'in_memory').

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• get_contact

  local-mcp

  Gets a contact from the Mac's Contacts app (Contacts.app) by name or ID. Pass `name` to look up directly by name (no need to search_contacts first — if several people match it returns a compact list to choose from), or `contact_id` for an exact lookup. For Microsoft 365 use m365_get_contact instead.

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• chile_search_tenders

  Chile Procurement

  Search Chile government procurement tenders (licitaciones) from Mercado Público / ChileCompra, the official Chilean public-procurement platform. By default returns tenders published TODAY. Pass estado="activas" for all currently OPEN tenders, or fecha="ddmmyyyy" (e.g. "01072026") for tenders published on a specific day. Returns each tender's código (CodigoExterno), name, status, and closing date. Use chile_get_tender with a código for full detail (buyer, amount, line items).

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