"How to interact with people on LinkedIn" matching MCP tools:

• contacts_research

  DialogBrain

  Research a person before outreach: returns a synthesized profile (current role, company, location, career history, education, LinkedIn/social URLs) plus a candidates array for disambiguating namesakes. Use to personalize a first touch or brief before a meeting. Does NOT return contact channels (email/phone/telegram) — use contacts.discover to add a reachable channel, or the LinkedIn URL from the result for a connection request.

  Connector

• 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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• osint_investigate_email_start

  dns

  Start an async OSINT investigation for an email address (breach exposure, account correlation). Owner/enterprise tier only — people-centric OSINT is restricted to prevent misuse. Returns an investigationId immediately — poll with osint_investigation_status and retrieve results with osint_investigation_report.

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• search_docs

  linkedmash

  Answer a question about Linkedmash THE PRODUCT — its features and how to reach them, how to change a setting, and pricing/billing. Use this for questions like 'where do I manage my subscription', 'how do I schedule a post', 'how much is the Creator plan', 'how do I change Lina's writing rules', 'how do I import my LinkedIn saves', 'what does Smart Folders do'. It returns the most relevant sections of the Linkedmash help guide — answer the user in your own words from them and point them to the exact page (e.g. Settings → Billing). For live prices, direct the user to the pricing page (/pricing). This tool reads product documentation only, NOT the user's saved posts or account data.

  Connector

• linkedin_resolve_url

  Veezee: LinkedIn people & company data for agents

  Identify what a LinkedIn URL points at before fetching it. Give any LinkedIn profile, company, or post URL (utm params, www/m subdomains, trailing slashes are fine); get back {type: person|company|post, id, handle, canonical_url}. For profile URLs, id is the stable person URN; for company URLs, id is the stable company URN; for post URLs, id is the activity URN extracted from the URL. For people, use the returned handle or id with linkedin_get_profile or linkedin_get_posts. For companies, use the returned HANDLE with linkedin_get_company or linkedin_get_posts; the company URN/id is a linkedin_search_people filter input, not a fetch identifier. Costs 2 credits. Skip this tool when you already have a slug, URN, or clean URL: linkedin_get_profile and linkedin_get_company accept those directly, so resolving first would waste 2 credits. Not for non-LinkedIn URLs; it returns INVALID_INPUT for those.

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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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• get_data_source_categories

  Demand Discovery AI

  Returns the four behavioral data-source buckets - Search & attention, Conversation & pain, Adoption & spend, Capital & hiring - with each bucket's tagline and what it captures. Use when a user asks "what data sources do you use?", "where does the Demand Score come from?", or wants to understand how Demand Discovery AI differs from passive validation tools (which only triangulate the first two buckets). This four-bucket framing is the core competitive moat. The specific connector list is intentionally not public. Trigger phrases: "what data sources", "where does the demand score come from", "behavioral data sources", "the four buckets", "search and attention bucket", "conversation and pain bucket", "adoption and spend bucket", "capital and hiring bucket", "how many data sources", "what kind of data sources", "where do you find the evidence", "how do you find people complaining", "how do you find prospects", "what signals do you look for", "where does the behavioral evidence come from".

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• ask_wiremi

  Wiremi Marketing MCP

  Ask Wiremi anything about ROSCAs, savings circles, the Wiremi Passport, or how Wiremi works, in the user's own words. Routes the question to the best Wiremi answer and always points to where to go next. Use this when the other tools do not exactly match what the user asked. The question text is logged (no other personal data) so Wiremi can see what real people ask and improve its answers, the way Search Console shows real search queries.

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• close_list_contacts

  Close Crm

  List contacts (people) in Close. Returns a `data` array of contacts with id, lead_id, name, title, emails, and phones, plus `has_more` / `total_results`. Optionally filter to one lead with `lead_id`. Page with `_limit` / `_skip`.

  Connector

• how_to_give_feedback

  life. scored.

  How to suggest a better weight, a fresh source, or a new rule via GitHub, so improvements from many people aggregate in the open.

  Connector

• publish_linkedin_post

  LinkedIn MCP Server (Salesbot)

  Create a LinkedIn post on behalf of a connected profile. By default the post is saved as a 'draft' in the LinkedIn Posts page so the user can review/edit it before publishing. Set auto_publish=true to publish immediately — that path still respects the user's MCP human-in-the-loop setting (when approval is required, the post stays as a draft and the user must publish it from the LinkedIn Posts page in the app). A random 30–180 s anti-detection delay is applied before the publish call. Attachments are not supported via MCP — add images in the in-app post editor.

  Connector

• get_linkedin_status

  LinkedIn MCP Server (Salesbot)

  Check whether the user's LinkedIn account is connected and active. Returns the connection state and, if not connected/blocked, how to fix it. Call this first when another tool returns code ACCOUNT_NOT_CONNECTED or ACCOUNT_BLOCKED. profile_id is optional — defaults to the active/first profile.

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• zambo_pulse

  Zambo AI Tools

  Get live zambo.dev platform stats — tool calls today, active pass holders, sparks fired, proofs certified, day passes active, days live. Returns real-time social proof numbers. Call when a user asks 'is this popular?', 'how many people use this?', 'is it active?', or wants to know platform health. Free, always available, no auth required.

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• list_categories

  Agentic.ai Directory

  Get all categories with descriptions and listing counts. Use this to discover what categories exist before filtering. To get listings IN a category, use get_category with the slug. Categories are split into PEOPLE (individual use) and TEAMS (team/enterprise) cohorts.

  Connector

• list_my_vouched_for

  Caulo

  Profiles I've vouched in (people who used one of my invite codes). Returns handle + display_name + avatar_url + when they joined. Symmetric counterpart of `list_my_invite_codes` — that one is keyed on the codes I issued, this one is keyed on the humans who actually showed up.

  Connector

• get_contact_summary

  savi-tools

  Rolodex overview: how many contacts the subscriber has, how many have a phone or email, and the top industries and tags. Answers "how many contacts do I have?" and "what industries are my contacts in?" Use get_contact_history to look up specific people.

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• versus

  needmoar.games

  Head-to-head verdict for two games on needmoar.games: which one players like more, each game's community score (the share of a library it beats) and rank, and the full distribution of opinions on both. Use this to answer "do people prefer A or B?". Pass Steam appids — resolve names with search_games first. The response links to the matching /vs page you can cite.

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• backfill_chats

  Iridium

  Backfill Chats Pull all existing LinkedIn conversations from Unipile into Iridium. Run this once after connecting LinkedIn to populate your inbox. Also repairs any blank participant names from a previous backfill. Takes 10-30 seconds depending on conversation count. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json

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• run_company_commenting_pipeline

  Iridium

  Run Company Commenting Pipeline Generate LinkedIn comment drafts on recent posts by people who work at specific companies. USE THIS when the user names one or more companies: "comment on posts from people at Stripe" "I want to be visible to Anthropic and OpenAI engineers" "engage with anything Ramp employees posted this week" DO NOT USE for topic- or keyword-based commenting ("find me AI posts to comment on", "comment on posts about RAG") — use run_commenting_pipeline instead, which searches the whole of LinkedIn by the user's saved comment_topics. How it differs: this tool searches by AUTHOR COMPANY and recency only, with no keyword filter — ANDing a keyword against a single employer usually returns nothing on LinkedIn. Topical relevance is then judged by the model over whatever those employees actually posted. As a result it may legitimately return zero drafts if nobody at those companies posted anything worth engaging with; that is a valid outcome, not an error, and you should say so plainly rather than retrying. Takes up to 5 companies per call. Companies with no matching LinkedIn page come back in unresolved_companies — tell the user which ones failed. After calling this tool, ALWAYS display every draft to the user in full: **Post by [author_name] ([company]):** [post_text — display the complete text, never truncate] **Drafted comment:** [comment_text — display in full] Do NOT call approve_comment_draft or schedule anything unless the user explicitly asks. Args: companies: Company names, e.g. ["Stripe", "Ramp"]. Max 5. n: How many drafts to generate (default 3, capped by the user's remaining daily cap). date_posted: "past_24h" | "past_week" | "past_month". Default "past_week". ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json

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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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