mcp server
JobYap Job Search
Search job postings aggregated from companies' careers sites, plus each job's discussion thread.
Description as published by the maintainer. Source
- version 1.0.0
- active
- retrieval
active — Most recent push to the repository was 2026-08-01. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
What this server can do
8 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
fetch(id)- Retrieve the full JobYap document for a search result id: the complete posting as markdown (description, salary, locations, apply link) plus top community comments, with a citable URL. Required: id.
get_job(id)- Fetch one job posting in full: markdown description, salary ranges, locations with work mode, derived employment types, apply URL, posting dates and the canonical JobYap discussion URL. Works for expired jobs too (apply_url is null once inactive). Required: id.
get_job_comments(id)- Fetch the community discussion thread for a job: chronological, threaded via parent_id, with like counts. Comments are user-generated content. Threads stay open after a job expires. Required: id.
get_job_stats- Aggregate stats: companies tracked, active job count, and the newest posting date.
list_companies- List every company JobYap tracks with its active job count. Use the exact names as search_jobs company filters.
search(query)- Search JobYap job postings by natural-language query. Matches job titles, falling back to significant keywords when the full phrase finds little. Returns result ids, titles and citable URLs for use with fetch. For structured filtering (location, company, remote, freshness) prefer search_jobs. Required: query.
search_jobs(sort, query, cursor, companies, locations, page_size, work_mode, has_comments, include_total, posted_within)- Search JobYap's aggregated job postings with structured filters. The text query matches job titles only (case-insensitive substring) — try synonyms or shorter tokens when results are thin. Company names must exactly match values from list_companies; locations must be identifiers from search_locations. work_mode matches jobs explicitly marked remote or hybrid (unmarked means unstated, not onsite). Results are active listings, newest first by default; sort=popular ranks by discussion activity. To paginate, pass next_cursor back as cursor and keep every other argument identical.
search_locations(limit, query)- Resolve a free-text place name ("bay area", "Germany", "berlin") to the location identifiers search_jobs accepts (country-XX, state-XX-YY, city-XX-YY-name). Only places that appear in current job data are returned. Required: query.
Last successful function declaration observed on . Source: https://mcp.jobyap.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://mcp.jobyap.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-01 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Package downloads | 179 downloads | Package downloads from the npm registry in this window. Includes continuous integration runs, mirrors and automated installs, so it overstates the number of human users. | 2026-07-30 to 2026-08-05 | npm | |
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-08-01 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-08-01 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub | |
| mcp tools declared | 8 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | mcp.jobyap.com | |
| mcp endpoint status | ok | The server listed 8 functions when asked. | as of probe | mcp.jobyap.com |
Where to get it
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These share tags the maintainers applied themselves, such as job-search, claude-code-skill. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: agent-skills, claude-code-skill, claude-skills, job-search, mcp, mcp-server, model-context-protocol.
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json