Job Spotter

Last 30 days

Uptime

100%

Response time

13 ms typical, 13 ms slowest 5%

Last check

5 h ago

Next check

in 1 h

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "job-spotter": {
      "type": "http",
      "url": "https://goodturn-mcp.pages.dev/jobspotter/mcp"
    }
  }
}

95 tools

• search_jobs

  Search current job listings. For requests like "find remote Python jobs", "marketing jobs in New York", "junior data analyst jobs posted this week", "senior software engineer jobs in London", "nurse jobs in Manchester". Job words go in what and the place in where. Everyday phrasi

• get_job

  Details for one job from a search result. For when the user asks about one of the results, for example "tell me more about the second one" or "what's the apply link for the Uber job?". Takes the id from a search_jobs result exactly as given; ids carry what is needed, so they keep

• check_salary

  What a job pays in a place. For "what does a nurse earn in Birmingham", "average salary for a data analyst in Austin", "is £35k good for a junior developer in London". Gives the typical yearly range (middle half of current adverts), the middle figure and the average advertised, f

• similar_jobs

  Jobs like one from a search result. For "show me more like the second one" or "anything similar to that Tesco job?". Takes the id from a search result exactly as given. Returns jobs with a similar title in the same place, without the job itself.

• whats_hiring

  What's hiring most in a place. For "who's hiring in Leeds?", "what jobs are in demand in Austin?", "which companies are hiring nurses in Manchester?". Gives the roles advertised most and the employers with the most open jobs.

• hiring_posts

  Posts from people saying they're hiring. For "who's posting that they're hiring React developers?", "any startups hiring remote designers?". Public posts from people saying they're hiring, from Hacker News (the monthly Who is hiring? thread), Mastodon and Bluesky, newest first, e

• company_lookup

  Facts about an employer and its hiring. For "tell me about Monzo as an employer", "is Tesco hiring?", "how big is this company?". Gives what the company does, when it was founded, staff numbers, headquarters and website (from Wikidata), UK company records when available (Companie

• compare_jobs

  Compare jobs side by side. For "compare the first three", "which of these pays best?". Takes two to five ids from search results and gives each job's pay (and yearly equivalent), work type, job type, how new it is, direct employer or agency, visa sponsorship and ghost-job check,

• check_job_link

  Check a job link someone pastes. For "is this job real?", "what does this one pay?" with a link. Reads the advert from the employer's job board (Greenhouse, Lever, SmartRecruiters, Ashby and most career pages) and gives the title, company, place, pay, when it was posted, whether

• interview_prep

  Interview questions and practice. For "help me prepare for my interview", "what will they ask a staff nurse?", "do a mock interview". Gives likely role questions, questions drawn from the advert, behavioural questions, good questions to ask them, tips for one-way video and AI int

• find_people

  People worth contacting at a company. For "who should I contact at Monzo about data jobs?", "find the hiring manager". Gives the people who posted the company's hiring ads publicly (they asked applicants to get in touch) and ready LinkedIn and Google searches that open the person

• match_cv

  How well a CV matches a job. For "how well do I match this job?", "should I apply?", "what's missing from my CV for this?". Scores a CV or profile against a job from a search (or pasted advert) out of 100, the same way every time: skills 45, role 20, experience 15, education 10,

• jobs_for_me

  The best current jobs for a CV. For "find jobs that fit my CV", "what jobs should I apply for?". Searches current jobs for the person's target roles (or past titles) and place, and ranks them by match score, with matched and missing skills for each. Nothing sent is stored. The sc

• apply_kit

  Everything needed to apply for a job. For "help me apply for this", "write my cover letter", "what should I say in my application?". Gives what the job asks for, the lines in the CV that prove each skill, what is missing, keywords to use if true, a cover letter outline and common

• connection_score

  How relevant a connection is to your goal. For "should I connect with this person?", "is this contact worth messaging about my job search?". Scores how relevant a connection is to the user's goal, out of 100, from two profiles the user provides (it rates the fit with the goal, no

• networking_plan

  Who to reach out to, from a CV. For "who should I network with?", "how do I get a job as a data scientist without applying cold?". From a CV or a few details and the role wanted, gives the kinds of people worth contacting in order (hiring managers at the employers hiring most for

• check_visa_sponsor

  Is this UK employer a licensed visa sponsor? For "does Deliveroo sponsor visas?", "can this company sponsor a Skilled Worker visa?". Looks the employer up in the UK Home Office register of licensed sponsors (workers), with its town and the visa routes it is licensed for, and the

• employer_reply_rate

  How often an employer replies to applications. For "do they actually reply?". From Job Spotter users who track their applications: the share of applications that got any answer (interview, offer or rejection) within the time tracked, and the usual wait. Shown only from 5 tracked

• write_job_advert

  Write a job advert and check the pay. For employers: "help me write an advert for a care assistant", "is £12 an hour enough?". Builds a clear advert from the title, duties, must-haves and pay, flags what puts applicants off (missing pay, too many must-haves, slang like "rockstar"

• referral_note

  A ready note asking someone for a referral. For "write to Amy at Monzo asking for a referral". Gives a LinkedIn connection note under 300 characters and a longer email version that asks for a referral or a short chat, built from how they know each other and why the job fits. Noth

• job_demand

  What job seekers are searching for, by role and place. For "how many people are looking for care jobs in Leeds?" or "what are people searching for in Bristol?". Anonymous weekly counts of searches on Job Spotter by role words and place over the last 8 weeks, with the listings peo

• fair_hiring_check

  Check an employer against the fair hiring badge. For "is this employer fair to applicants?". Four checks from what the employer does: shows pay in its adverts on Job Spotter, replies to tracked applications, hires through scored consent-first introductions, and (UK employers with

• cover_letter

  Draft a cover letter and application answers. For "write my cover letter for this job" or "help me answer these application questions". Builds a first draft only from the person's own CV lines and the advert: the strongest matching achievements, the skills the job asks for in the

• interview_practice

  Practise an interview, one question at a time. For "practise an interview with me" or "how was that answer?". Send the role to get the first question; send the question and the person's answer to get a score out of 10 with what went well, one thing to fix and the next question. S

• us_visa_salaries

  What a US employer offered on work visa filings. For "what does Google pay software engineers?" or "how much does Infosys pay on H-1B?". Wages US employers offered on certified H-1B, H-1B1 and E-3 labour condition applications (US Department of Labor disclosure data): the number

• about_job_spotter

  What Job Spotter can do, for job seekers and employers. The capabilities, the rules (nothing is sent without a yes) and which tool does what. A ready-to-read summary is in `say`.

• get_my_account

  The signed-in person's account at a glance. Who is signed in, saved jobs, applications (and how many need them), unread messages, interviews, Autopilot state and what is still needed before applying (CV, name, phone). A ready-to-read summary is in `say`.

• get_profile

  The person's profile, CV and saved answers. Name, contact details, links, the CV text, titles, skills, years, standard application answers and whether they are open to introductions. A ready-to-read summary is in `say`.

• update_profile

  Change the person's profile details. Name, phone, location, links, titles, skills, target roles, and whether employers may ask for an introduction. Send only what changes. A ready-to-read summary is in `say`.

• upload_cv

  Save the person's CV (text or a file). Saves the CV encrypted and reads titles, skills, years and education from it. Send the text as cv, or a file as file_base64 with filename. Can also set name, phone and links at the same time. A ready-to-read summary is in `say`.

• save_standard_answers

  Save standard answers used on every application. Right to work, sponsorship, salary expectation, notice period, relocation and more, plus answers to any specific question (answers: {question: answer}). Waiting applications that needed these get them at once. Questions about gende

• get_preferences

  The person's job preferences. Roles, places, remote or hybrid, pay floor, job types, companies and words to avoid, visa needs. A ready-to-read summary is in `say`.

• update_preferences

  Change job preferences. A merge: send only what changes. Used to rank matches and by Autopilot. A ready-to-read summary is in `say`.

• set_preferences_from_text

  Set several preferences from one sentence. For "data analyst in Leeds or Manchester, hybrid, over £30k, no crypto". Returns what it read. A ready-to-read summary is in `say`.

• get_about_me

  What the person has told Job Spotter about their work. Facts from their CV, notes they asked Job Spotter to keep, their preferences and the reasons they gave for hiding jobs, so they can check or delete any of it. A ready-to-read summary is in `say`.

• note_about_me

  Save a note the person asked for about their job search. Only when the person says so, for example "remember I want to move into management". The note is shown to them in get_about_me, is used only to rank and write their own applications, and can be confirmed with confirm_note o

• confirm_note

  Keep something the person confirmed. Moves a guess (id) into the career record, or saves text the person stated. A ready-to-read summary is in `say`.

• delete_note

  Forget a note about the person. Delete one of the notes Job Spotter keeps about the person, when they say it is wrong. The note is removed for good; they can add a corrected one with note_about_me. Only for a clear request from the person. A ready-to-read summary is in `say`.

• best_matches

  Current jobs ranked for this person. Searches live jobs for their roles and places, leaves out anything they dismissed, applied to or excluded, and ranks by the same fixed match score. Each match says how it would be applied to (apply_route: jobspotter, email, robot or you). A re

• hide_match

  Dismiss a match and say why. Removes it and teaches the ranking; not_this_company drops the whole employer. Can be undone. A ready-to-read summary is in `say`.

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