Track job applications, follow up on stale leads, and prepare for interviews with AI insights.
Job search tracker that helps you manage applications across companies, identify follow-up opportunities, assess role fit using your career history, and prepare for interviews. Tracks H-1B sponsorship and surfaces skills gaps.
Try asking Muse: "Show me which job applications haven't been updated in two weeks and suggest follow-up actions."
Source: Found in the official MCP Registry (ai.gighq/gighq) · First listed October 29, 2026
Each bar is one check, every 15 minutes. Green means it answered. Last checked 1 h ago.
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Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. 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.
https://mcp.gighq.ai/mcpNot in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
GigHQ.ai is a remote MCP server, so any assistant that can add a custom connector by link can use it. Same link, same tools.
In ChatGPT, open Settings, then Connectors (called Apps & Connectors on some accounts).
Under Advanced settings, switch on Developer mode. That is what lets you add a connector by link.
Choose Create, give it a name, paste the link as the MCP server URL, and save. If it needs a sign-in, ChatGPT asks for it here.
Start a chat, open the tools menu, pick the connector, and ask. ChatGPT asks before it runs a tool the first time.
Custom connectors need a paid ChatGPT plan, and on Team, Enterprise and Edu accounts only an admin can add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in ChatGPT
In Claude, open Settings, then Connectors.
Choose Add custom connector, give it a name, and paste the link.
If it needs a sign-in, Claude sends you to it. Then turn the connector on in a chat from the tools menu and ask.
Custom connectors are available on paid Claude plans; on Team and Enterprise accounts an admin may need to add them. Our "Working" label means the server answered us; it cannot tell whether your plan lets you add it. All connectors that work in Claude
https://mcp.gighq.ai/mcpResponse time at the last check: 580ms. Worked in n/a of checks over 30 days.
Screened, no issues found
Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.
search_companiesSearch for companies by name to retrieve their unique identifiers (UUIDs).get_company_detailsGet detailed information about a company (applicants by status, Community Signal, H1B sponsorship status, employee count, website, etc.) using its UUID. The metrics window defaults to the last 30 days. Optional startDate and endDate parameters support other date ranges. Returns Gget_job_detailsGet detailed community metrics for a specific job listing (applicants by status, average days per status, Community Signal) using its UUID. The metrics window defaults to the last 30 days. When the user requests a longer period — e.g. "last 6 months", "last year", "since January"update_job_application_statusSTOP — if the user says "not interested", "no longer interested", "withdraw interest", "remove from pipeline", or any equivalent: do NOT call this tool. Call toggle_job_application_interest instead. There is no "not interested" status here; attempting to use REJECTED or any othertoggle_job_application_interestUse this tool when the user says "not interested", "no longer interested", "withdraw interest", "I'm out", "remove from pipeline", or any equivalent phrase. This is the ONLY correct tool for withdrawing interest — do not use update_job_application_status as a proxy. Deactivates aget_recent_applicationsRetrieves a summary of the user's 10 most recent job applications, including status, company name, and correspondence dates. `totalCount` in the response reflects the full number of applications, not just the 10 returned — mention it if it's larger than the list shown, and point search_job_applicationsSearch the user's job applications by company name, status, or both. Use this when the user asks about a specific company's application, wants to find a particular application to view or update its status, or wants to know how many applications are in a given status (e.g. "how maget_job_applicationFetches the full details of a single job application by its UUID — status history, correspondence dates, job description, and related metadata. Do NOT use this tool when the user asks about notes ("do I have any notes", "show me my notes", "list notes"). Use list_job_application_create_job_applicationCreates a new job application entry in GigHQ, or reuses an existing active one for the same company+job if the backend finds one — check `alreadyExist` in the response. Calling find_job_application first is still recommended when you want to inspect a possible match before decidifind_job_applicationChecks whether the user already has a saved job application for a SPECIFIC posting — call this before create_job_application to avoid creating a duplicate. Matches BOTH company name and job title (case-insensitive substring on each), so it can tell two different roles at the sameupdate_job_applicationEnriches or corrects an existing job application's saved posting details: source URL and/or job description. Use this when the user finds the JD later, wants to add the posting link, or wants to correct the saved description. Do NOT use this for status changes — use update_job_aplookup_h1b_sponsorshipLooks up a company by name and returns GigHQ's recorded H1B sponsorship and concurrent H1B flags. Returns unknown when a flag is unavailable. These results describe the data recorded in GigHQ.check_stale_applicationsReturns job applications that haven't had a status update in a configurable number of days, along with a suggested follow-up action for each. Useful for surfacing applications the user may have forgotten about.weekly_job_search_summaryGenerates a weekly job search health summary. Aggregates up to 30 active applications and surfaces status distribution, conversion rates, longest-open applications, pipeline clustering insights, and a suggested focus area for the coming week.get_job_fit_evidenceRetrieves a saved GigHQ job application, candidate profile data, and the most relevant Career Journal evidence for assessing role fit. Career evidence is ranked by job keywords, competency coverage, evidence quality, recency, and diversity; the default is 20 entries, grouped by cprepare_for_interviewAssembles everything needed to prepare for an interview on a saved GigHQ job application: the job and company context, the candidate's full profile, their Career Journal grouped by role (for STAR/CAR story material), which evidence best matches the role (to emphasize) and which cadd_career_entrySaves a new career journal entry to the user's GigHQ profile. Use this to document professional achievements, projects, skills acquired, or reflections tied to a specific role. Entry types: 1 = achievement — a concrete win, result, or impact (default) 2 = project — a specific iniupdate_career_entryUpdates an existing career journal entry. Only the fields provided will be changed — all other fields remain as-is. Use this to refine descriptions, add missing numbers to the metrics field, correct the entry date, or re-type an entry. This is the right tool to backfill quantificlist_career_entriesReturns the user's career journal entries from GigHQ, newest first. Supports optional filtering by entry type and date range. Use this tool to: - Review what the user has already documented before starting a journaling session - Find entries to update or refine - Identify gaps (rdelete_career_entryPermanently deletes a career journal entry by UUID. This action cannot be undone — confirm with the user before calling. Use list_career_entries to find the UUID if you don't have it.get_career_journal_promptsReturns a set of context-aware reflection questions to guide a career journaling session. Use this at the start of any journaling conversation to orient the discussion. The tool reads the user's GigHQ experience records and existing career entries to tailor the questions — surfaclist_experiencesReturns the user's work experience records with their integer IDs. Use this tool BEFORE calling `add_career_entry` or `update_career_entry` to find the correct `experience_id` for the role the entry belongs to. Present the role list to the user and confirm which one they mean befadd_job_application_noteAdds a note to a job application's timeline. Use this to log any touchpoint or interaction — a call, a LinkedIn message, a referral conversation, a networking event, etc. **category is required.** Infer the best-fit category from the note content before calling. Use this mapping:list_job_application_notesUse this tool when the user asks about notes on a job application — "do I have any notes", "show me my notes", "what notes do I have", etc. Returns all user-authored notes for a job application ordered by date, including UUID, body text, category, and timestamp. Use the returned update_job_application_noteUpdates the body or category of an existing job application note. Both body and category are required — the backend replaces the full note on update. If the user only mentions updating the body and doesn't specify a category, infer the best-fit category from the note content usindelete_job_application_notePermanently deletes a note from a job application's timeline. This action cannot be undone — confirm with the user before calling. Use list_job_application_notes to find the note UUID if you don't have it.search_contactsSearches the user's job-search contacts in GigHQ — recruiters, hiring managers, referrals, and other people they are networking with. Use this tool to: - Find a contact before drafting an outreach or follow-up message - See who the user already knows at a company before an intervget_contactReturns full details for one of the user's job-search contacts: profile info, outreach status, linked job applications, and the complete interaction history (calls, LinkedIn messages, coffee chats, etc.). Use this before drafting outreach or follow-up messages so the message reflupdate_contact_statusUpdates a contact's outreach status in GigHQ. A status-change entry is automatically logged in the contact's interaction history. Status progression: not_contacted → reached_out → responded → in_conversation → connected. Use 'cold' when the thread has gone quiet. Find the contactadd_contact_interactionLogs a touchpoint with one of the user's job-search contacts — a call, a LinkedIn message, a coffee chat, a referral conversation, etc. The entry appears in the contact's interaction timeline in GigHQ. **type is required.** Infer the best-fit type from what happened: • text_messaget_career_compassRetrieves the user's saved CareerCompass data: professional objectives, positioning statement, categorized skills (technical/soft/management/other), and target market (industries, company size, geographic location). Cheap read — prefer this over generate_career_compass whenever tgenerate_career_compassRuns GigHQ's CareerCompass AI pipeline against the user's resume data to generate 3 candidate professional objective statements, a positioning statement, categorized skills, and a suggested target market (industries, company sizes, geographic locations). This is an EXPENSIVE, onesave_career_compassPersists CareerCompass data to the user's GigHQ profile. This REPLACES the full saved record — any array field you omit (technical_skills, soft_skills, management_skills, target_industries, company_size, geographic_location, other_skills) is saved as empty, not left unchanged. Carecommend_target_rolesAssembles the user's profile, experience, career journal evidence (with a broad competency rollup), and saved CareerCompass data (if any) for recommending role titles to target. This is the inverse of get_job_fit_evidence: instead of evaluating fit for one specific job, it startshttps://mcp.gighq.ai/mcpNot in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use GigHQ.ai to help me. It is a free service with an MCP server at https://mcp.gighq.ai/mcp. It does not need an API key. 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.
At the last check (October 29, 2026, 21:51 UTC) the endpoint was working, answering in 580ms. It is checked every 15 minutes.
It was screened on October 29, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.
It exposes 34 tools, including search_companies, get_company_details, get_job_details, update_job_application_status. For example, you could ask Muse: "Show me which job applications haven't been updated in two weeks and suggest follow-up actions."
This listing was added from public sources (Found in the official MCP Registry (ai.gighq/gighq)). If you build GigHQ.ai, claim it to correct the details and get your badge.
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