MCP server

HitPrace Official

cz.hitprace/jobs

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Read-only Czech job search and market snapshots.

Website

At a glance

Type

MCP server

Publisher

hitprace.cz (verified by the MCP Registry)

Status

Working at last check

Tools

7

Token cost

About 2,616 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http jobs https://www.hitprace.cz/api/v1/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.jobs]
url = "https://www.hitprace.cz/api/v1/mcp"

Gemini CLI

{"mcpServers":{"jobs":{"httpUrl":"https://www.hitprace.cz/api/v1/mcp"}}}

Cursor

{"mcpServers":{"jobs":{"url":"https://www.hitprace.cz/api/v1/mcp"}}}

VS Code

{"servers":{"jobs":{"type":"http","url":"https://www.hitprace.cz/api/v1/mcp"}}}

Antigravity

agy mcp add jobs https://www.hitprace.cz/api/v1/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"jobs","server_url":"https://www.hitprace.cz/api/v1/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"jobs","server_url":"https://www.hitprace.cz/api/v1/mcp"}

Tools

• find_companies ~91 tokens
  Resolve a human employer name. At most five profiles. Do not guess when several are plausible. A brand is not the legal employer.
• get_company ~211 tokens
  Public employer profile for a sef returned by find_companies. Do not invent the sef. Cite a job by url, id, title, employer name and place. Cite matching_active_jobs with retrieved_at. Cite salary only when the salary object is present, with period, currency, sample_size and salary.updated_at. metho
• get_company_jobs ~316 tokens
  Job cards for one known employer when no other filter is requested. If the user also wants location, occupation, salary, feature or employment, call search_jobs with company_sef from find_companies. Cite a job by url, id, title, employer name and place. Cite matching_active_jobs with retrieved_at. C
• get_job ~200 tokens
  Job metadata. Full text is the canonical url with Accept text/markdown, or get_job_public_content. Cite a job by url, id, title, employer name and place. Cite matching_active_jobs with retrieved_at. Cite salary only when the salary object is present, with period, currency, sample_size and salary.upd
• get_job_market_snapshot ~826 tokens
  Count and salary without cards. Prefer this when the user asks how many offers or what pay is offered. With no filters it is the whole public HitPrace dataset in the Czech Republic: active deduplicated offers on HitPrace.cz, not a census of every vacancy in Czechia, and it has no salary. company_sef
• get_job_public_content ~75 tokens
  One public job as markdown. Returns id, url and markdown. The url is the canonical detail.
• search_jobs ~897 tokens
  Concrete job cards. For a count or salary question use get_job_market_snapshot. A search needs location, lat with lng, occupation, q, or company_sef. company_sef from find_companies combines with location, occupation, salary, feature and employment. Do not count jobs. jobs[] is one page, not a sampl

Browse

• Converting to Markdown
• Web analytics
• Legal research
• Government and public data

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