mcpField
J
JobYap

JobYap

VerifiedFeaturedRemote
jobyap.comProductivity1Updated 4w ago

About JobYap

JobYap is a read-only job discovery service aggregating postings from technology companies’ official career sites. It gives AI agents searchable listings with salary and location details, full descriptions, and public discussion threads, without an account or API key.

Key features

  1. 01Search and filter job listings
  2. 02Rank jobs against candidate criteria
  3. 03Retrieve full posting details
  4. 04Read community discussion threads
  5. 05Search locations and tracked companies

Use cases

  1. 01Find remote or local technology roles
  2. 02Compare jobs by salary and requirements
  3. 03Generate a shortlist against skills and experience
  4. 04Review discussion on a job posting

MCP support

Provides a remote streamable HTTP MCP server with tools for searching, matching, and retrieving job postings and related data. A JSON API skill is also available for agents without MCP support.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.jobyap.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Packages
npmjobyap-mcp1.1.0

Tools

9
ParameterTypeRequiredDescription
querystringNoSubstring matched against job titles only.
companiesarrayNoExact company names from list_companies.
locationsarrayNoLocation identifiers from search_locations, e.g. city-US-CA-san_francisco.
work_modeenumNoremote | hybrid
posted_withinenumNoHard freshness filter on the publish date.24h | 7d | 30d
has_commentsbooleanNoOnly jobs with community discussion.
sortenumNorecent (default) or popular (most discussed).recent | popular
page_sizeintegerNo
cursorstringNoOpaque cursor from a previous next_cursor.
include_totalbooleanNoAlso compute the total match count (slower).

Details

From the project README

JobYap agent tools

Connect any AI agent to JobYap — live job postings aggregated from company career sites, each with salaries, full descriptions and a community discussion thread. Everything is read-only and needs no account or API key.

Two ways in, use either or both:

  • MCP server (remote, streamable HTTP): https://mcp.jobyap.com/mcp
  • Skill: skills/jobyap teaches agents the JSON API (https://jobyap.com/api/v1) with curl — works even without MCP support.

Install the MCP server

Claude Code

claude mcp add --transport http jobyap https://mcp.jobyap.com/mcp

Claude.ai / Claude Desktop — Settings → Connectors → Add custom connector → https://mcp.jobyap.com/mcp (no authentication).

Cursor — click the deeplink, or add the config manually:

Add to Cursor

{ "mcpServers": { "jobyap": { "url": "https://mcp.jobyap.com/mcp" } } }

VS Code / GitHub Copilot

Install in VS Code

{ "servers": { "jobyap": { "type": "http", "url": "https://mcp.jobyap.com/mcp" } } }

ChatGPT — Settings → Connectors (developer mode) → Add → https://mcp.jobyap.com/mcp, No Authentication. The server implements the deep-research search/fetch contract.

Goose

Add to Goose

Windsurf / Zed / JetBrains / LM Studio / others — any streamable-HTTP MCP client works; point it at https://mcp.jobyap.com/mcp.

stdio-only clients — use the jobyap-mcp bridge (wraps mcp-remote):

{ "mcpServers": { "jobyap": { "command": "npx", "args": ["-y", "jobyap-mcp"] } } }

Install the skill

Cross-agent (Claude Code, Cursor, Codex, Gemini-compatible CLIs, opencode and ~70 others) via the skills CLI:

npx skills add jobyap/agent-skills

Claude Code plugin — installs the skill and registers the MCP server in one go. Two steps: add the marketplace, then install the plugin:

/plugin marketplace add jobyap/agent-skills
/plugin install jobyap@jobyap

Manual — copy skills/jobyap/ into your agent's skills directory (.claude/skills/, .cursor/skills/, .agents/skills/, …).

Google Antigravity

The antigravity/jobyap plugin bundles the MCP server config (serverUrl) and the skill:

git clone https://github.com/jobyap/agent-skills && agy plugin install ./agent-skills/antigravity/jobyap

Or add the MCP server manually with serverUrl: https://mcp.jobyap.com/mcp.

What the tools do

ToolPurpose
search_jobsFiltered search: title keywords, company, location identifiers, remote/hybrid, freshness, popularity; cursor pagination.
match_jobsCandidate matching in one call: title terms, companies, locations, years of experience, sponsorship needs and skills in; a screened, ranked shortlist with requirement sentences out. Reads every description, so a call can take 10 to 15 seconds; use search_jobs for browsing.
get_jobOne posting in full: markdown description, salaries, locations, employment types, apply URL. Accepts ids or jobyap.com URLs.
get_job_commentsThe community discussion thread (threaded, chronological, like counts).
search_locationsFree text → location filter identifiers.
list_companiesTracked companies with active-job counts.
get_job_statsCompanies tracked, active jobs, newest posting date.
search / fetchOpenAI deep-research connector contract over the same data.

Full API reference: skills/jobyap/references/api.md · Docs: jobyap.com/agents · llms.txt

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.