Fiverr MCP Server

Use this tool to check a specific freelancer's background, location, and languages once you already have their username, typically returned by find_freelancers. This is for background and credibility checks on a named seller, not for discovering new freelancers — for that, use find_freelancers.

Use this tool to check a named seller's aggregate rating score and review count, to quickly answer whether a specific freelancer is worth hiring. For the actual text of what clients wrote, use list_seller_reviews instead.

Use this tool to see the gigs and prices a named seller currently has published, once you already have their username. Only published gigs are included, so a page may return fewer than `limit` items — keep requesting pages until `has_next_page` is `false`.

Use this tool to read the actual text of reviews left for a named seller, paginated. Use it when the user wants to know what past clients actually said about a specific freelancer, not just their rating score — for the rating and count alone, use get_seller_reviews_summary.

A freelancer's bio, notable clients, services, review summary and latest reviews, for the freelancer details view.

Find freelancers who match a user's project, business, or professional need. Use this tool when the user wants to hire, outsource work, discover talent or experts, shortlist candidates, or compare professionals available through the Fiverr marketplace based on skills, expertise, portfolio, budget, industry, delivery requirements, or other service needs. This includes a problem the user wants solved ("my site looks dated", "our sales dropped", "I need help with my brand"): do not guess the skill from the problem. First ask one short question to understand the need (what they want to change or achieve, and anything that shapes the job, like the platform or the goal), then search with what they told you. Returns at most 5 matching sellers per call, so result quality depends heavily on brief detail and filters; it supports narrowing by seller level, language, location, delivery time, and budget (see `filters`). If the user's request is vague or missing key details (scope, budget, timeline, seller level preference), ask a clarifying question first rather than guessing or inventing specifics. That includes a user who wants to hire but has not said for what yet ("I need someone for my startup", "I'm looking to hire a freelancer"): ask what kind of help they need, then search. USE talk_to_mira INSTEAD when the user asks for help with the hiring itself: writing or scoping a brief, getting quotes, what the work would cost, choosing between options, working out what kind of talent a project needs ("no idea what kind of developer I need"), or whether to outsource at all. AFTER THE FIRST RESULTS in a conversation, end with a short menu of three next steps, one line each: (1) narrow the search with one or two filters the user has not set yet that matter for this job (budget, delivery time, seller level, language or location); (2) ask about any of these sellers: their reviews, services and prices; (3) have Mira, Fiverr's headhunter, scope the project and find the best talent for it. Then ask which they would like. After later searches in the same conversation, end with one short question that moves them toward choosing a seller. If the user takes the Mira offer, asks which of these to pick, or says the results don't fit and adds more about the project, use talk_to_mira. Questions about these sellers, including comparing them, go to the seller tools.

A user's rating and optional comment about the Fiverr connector, from a widget's feedback form.