# ZOOQ Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## ZOOQ

Access LinkedIn profiles, companies, jobs and email addresses for sales and recruitment research

- Record: https://musedirectory.ai/connector/zooq
- Category: Research & Data
- Developer: zooq.dev (https://zooq.dev)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 571ms, checked 2026-09-28T08:01:36Z
- Endpoint: https://zooq.dev/api/mcp
- Auth: Needs an access key; Pricing: unknown
- Screening: Screened, no issues found (2026-09-25T05:26:24Z)
- Source: Found in the official MCP Registry (io.github.baldiga/zooq) https://registry.modelcontextprotocol.io/v0/servers?search=io.github.baldiga%2Fzooq

Connects to LinkedIn to retrieve professional profiles, company data, job postings, and work email addresses. Muse can search for people and companies, enrich contact records, verify emails, and discover hiring teams for prospecting and recruitment tasks.

Example request: "Find the email address and recent posts of a software engineer at a specific company to reach out about a job opportunity"

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use ZOOQ to help me. It is a free service with an MCP server at https://zooq.dev/api/mcp. It needs an API key from zooq.dev; ask me to enter it through your secure credential prompt. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- profile_full: Complete profile in one call — positions, education, skills, certifications, geo, follower/connection counts and flags. This is the canonical profile read; the other profile/* paths (overview, details, about, education, skills, certifications, full-experience, social-matrix) are 
- profile_entity_id: Resolve a public handle to the person entityId used by the live person endpoints (posts, comments, interests, lookalikes). Resolve once, reuse the id. (Costs 10 Zooq credits.)
- profile_enrich: Freshest LIVE snapshot of one profile, by handle or entityId — not the deduplicated dataset record the other profile/* endpoints return. Carries live-only flags (openToWork, isHiring, isTopVoice) and returns the person's entityId, the id every other live person endpoint needs. (C
- profile_employment_history: Complete LIVE work history for one person: per-role organization, title, description, location, parsed dates, per-role skills, and parallel-position groupings (concurrent titles kept distinct rather than flattened). Overlaps profile_full_experience, which reads the dataset record
- profile_recommendations: Recommendations written for the person, with author details and text. (Costs 10 Zooq credits.)
- profile_similar: Similar professional profiles — expand a shortlist from one example. (Costs 10 Zooq credits.)
- profile_interests: Entities the person follows (companies, groups, people, newsletters). (Costs 10 Zooq credits.)
- companies_entity_id: Resolve a company slug to the numeric organization id used by the live company endpoints (posts, similar, affiliated, insights). Resolve once, reuse the id. (Costs 10 Zooq credits.)
- companies_universal_name_to_id: Resolve a company slug (the part after linkedin.com/company/) to its stable org_ id — the dataset id used by /companies/info. For the live company endpoints (posts, similar, affiliated, insights) use companies_entity_id instead; the two ids are not interchangeable. Returns the FU
- companies_info: Full company firmographics — description, industry, headcount, HQ, follower count, specialties. (Costs 10 Zooq credits.)
- companies_enrich: Freshest LIVE company profile. Returns three things the dataset record behind companies_info does not: funding signals, the FULL location list (not just HQ), and parent/affiliated/related pages. Pass `slug` and Zooq resolves it to the numeric id at no extra credit cost, or pass `
- companies_name_lookup: Search companies by name, with the full firmographic filter set. Cursor-paginated. Same upstream as search_companies — use whichever entry point reads better; they are equivalent. (Costs 10 Zooq credits.)
- companies_employees_data: People who work or worked at an organization (professional records, same shape as /search/people). Cursor-paginated. (Costs 10 Zooq credits.)
- companies_similar: Similar companies / peers (id, name, industry, followers, url). Keyed by the numeric organization id: pass `slug` and Zooq resolves it for you at no extra credit cost, or pass `id` from companies_entity_id to skip the lookup. (Costs 10 Zooq credits.)
- companies_affiliated_pages: Affiliated / subsidiary / showcase pages of a company. Keyed by the numeric organization id: pass `slug` and Zooq resolves it for you at no extra credit cost, or pass `id` from companies_entity_id to skip the lookup. (Costs 10 Zooq credits.)
- companies_insights: Employee-count total + distribution buckets (by department, seniority, location). Keyed by the numeric organization id: pass `slug` and Zooq resolves it for you at no extra credit cost, or pass `id` from companies_entity_id to skip the lookup. (Costs 10 Zooq credits.)
- companies_posts: A company's recent posts. data.activities[].entityId is the activity id consumed by /posts/info, /posts/comments, /posts/likes. Keyed by the numeric organization id: pass `slug` and Zooq resolves it for you at no extra credit cost, or pass `id` from companies_entity_id to skip th
- companies_jobs: Open job postings across one or more organizations. (Costs 10 Zooq credits.)
- search_people: Search professional records with rich filters — name, title, company, skills, education, tenure, geography. Cursor-paginated. (Costs 10 Zooq credits.)
- search_companies: Search organizations by name or website with firmographic filters. Cursor-paginated. (Costs 10 Zooq credits.)
- search_jobs: Job/opportunity search with the full filter set. Location filtering works: pass `locations` a LinkedIn geo id (e.g. 101570771 for Tel Aviv-Yafo) — see that parameter for how to find one, and note it is an EXACT match, so use a city id rather than a country id. Still id-typed and 
- search_people_live: LIVE people search — the only endpoint that filters by current company, past company AND school together. Complements search_people (the deduplicated dataset, cursor-paginated, plain-string geo): use this one for company-history sourcing, that one for broad firmographic filtering
- search_companies_live: LIVE company search. Its draw is `hasJobs` — an actively-hiring filter available nowhere else in the catalog — plus bucketed headcount search. For firmographic filtering (staff/follower counts, founded year, website) use search_companies instead. Offset-paginated. Not-found is fr
- search_schools: Search institutions by name (partial match). Page-paginated. Use to discover an institution's inst_ id or normalized_name. (Costs 10 Zooq credits.)
- jobs_details_v2: Full job-posting details — title, description, functions, apply url, organization, location. (Costs 10 Zooq credits.)
- jobs_similar: Similar job postings (title, organization, location, salary range, posted date). (Costs 10 Zooq credits.)
- jobs_people_also_viewed: 'People also viewed' postings (behavioral relatedness). (Costs 10 Zooq credits.)
- jobs_hiring_team: Hiring-team member profiles for a posting. Empty members can mean the posting genuinely lists no team OR the posting id was not recognized. (Costs 10 Zooq credits.)
- jobs_posted_by_profile: Job postings authored by a person (a recruiter's, hiring manager's or founder's roles). Includes closed postings (`jobState`). Only people who have posted jobs return results: for anyone else the upstream answers 422 "the data cannot be displayed or it doesn't exist" - that is a 
- posts_all: A person's recent posts / activity stream. Cursor- or offset-paginated. Keyed by the person entityId: pass `handle` and Zooq resolves it for you at no extra credit cost, or pass `entityId` from profile_entity_id to skip the lookup. (Costs 10 Zooq credits.)
- posts_info: Full content of one post (returned under data.post). For comments use /posts/comments. (Costs 10 Zooq credits.)
- posts_comments: Threaded comments/replies on a post. (Costs 10 Zooq credits.)
- posts_likes: People who reacted to a post + reaction type and total. (Costs 10 Zooq credits.)
- comments_all: Comments authored by a person across posts. Cursor-paginated. (Costs 10 Zooq credits.)
- g_title_skills_lookup: Skill catalog search by name (partial match) — skills only, despite the endpoint name. Page-paginated. Use to find a skill's skl_ id or normalized_name for the /search/people skills filter. (Costs 10 Zooq credits.)
- email_verify: Check whether an email address can receive mail, with a deliverability verdict and risk flags (catch-all, disposable, no-MX). (Costs 10 Zooq credits.)
- email_find: Discover a person's work email from their first name, last name, and company domain. Returns the address plus a confidence score. (Costs 10 Zooq credits.)
- email_find_by_profile: Identify a person and their current company from a professional profile URL (or handle), then find their work email — resolves name + domain for you. (Costs 10 Zooq credits.)
- email_reverse: Resolve the person and company behind a BUSINESS email address. Public/role/disposable mailboxes are rejected (422, no charge) before any work runs. (Costs 10 Zooq credits.)
- email_prospects: Page emails already known for a company domain. Cursor-paginated; returns up to 20 contacts per page with first/last name. (Costs 10 Zooq credits.)

Screening checks:
- MCP handshake: pass (Answered in 360ms)
- Domain against threat feeds (Cloudflare security DNS): pass (zooq.dev not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: pass (45 tools read, nothing found)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (Domain registered 132 days ago)
- AI review of purpose and tool behavior: pass (No concerns)