adzuna-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| adzuna_search_jobsA | Search Adzuna's job advertisement database with keyword, location, salary and contract filters. Returns ads including title, employer, location, salary range (annual, local currency),
contract type, category, posting date and a Args: params (SearchJobsInput): Validated search parameters. Key fields: - country (str): ISO code, default 'gb' - what / what_or / what_and / what_phrase / what_exclude / title_only (Optional[str]): keyword filters - where (Optional[str]) + distance (Optional[int]): free-text location and radius in km - location0/1/2 (Optional[str]): hierarchical location filter - category (Optional[str]): tag from adzuna_list_categories - salary_min / salary_max (Optional[int]): annual salary bounds - full_time / part_time / permanent / contract (Optional[bool]): contract filters - max_days_old (Optional[int]), sort_by (Optional[SortBy]), page, results_per_page - response_format (ResponseFormat): 'markdown' or 'json' Returns:
str: Markdown summary of matching ads, or JSON with keys |
| adzuna_list_categoriesA | List the job categories Adzuna applies in a given country. Call this before using the Args: params (CategoriesInput): Validated parameters containing: - country (str): ISO code, default 'gb' - response_format (ResponseFormat): 'markdown' or 'json' Returns:
str: Markdown table of tag/label pairs, or JSON with key |
| adzuna_salary_histogramA | Get the current distribution of advertised salaries for a role and/or location. Each key is the LOWER bound of an annual salary band in local currency; each value is the number of live vacancies in that band. Use it to sanity-check a salary expectation or to see where a target figure sits in the market. Args: params (HistogramInput): Validated parameters containing: - country (str): ISO code, default 'gb' - what (Optional[str]): role keywords - location0/1/2 (Optional[str]): hierarchical location filter - category (Optional[str]): category tag - response_format (ResponseFormat): 'markdown' or 'json' Returns:
str: Markdown table of salary band vs vacancy count, or JSON with key
|
| adzuna_salary_historyA | Get the average advertised salary month by month for a role, category and/or location. Shows whether pay for a role is trending up or down over time. Args: params (HistoryInput): Validated parameters containing: - country (str): ISO code, default 'gb' - what (Optional[str]): role keywords - location0/1/2 (Optional[str]): hierarchical location filter - category (Optional[str]): category tag - months (Optional[int]): months of history to return - response_format (ResponseFormat): 'markdown' or 'json' Returns:
str: Markdown table of month vs average salary, or JSON with key |
| adzuna_regional_breakdownA | Get the number of live vacancies in the sub-regions of a location. Doubles as the discovery tool for location filters: the Args: params (GeodataInput): Validated parameters containing: - country (str): ISO code, default 'gb' - location0/1/2 (Optional[str]): area whose children to list - category (Optional[str]): category tag to limit counts - response_format (ResponseFormat): 'markdown' or 'json' Returns:
str: Markdown table of sub-region, vacancy count and area path, or JSON with key
|
| adzuna_top_companiesA | Get a leaderboard of the employers with the most open vacancies for a search. Useful for building a cold-outreach target list: it surfaces who is hiring at volume for a role and roughly what they pay, which a plain job search does not. Args: params (TopCompaniesInput): Validated parameters containing: - country (str): ISO code, default 'gb' - what (Optional[str]): role keywords - location0/1/2 (Optional[str]): hierarchical location filter - category (Optional[str]): category tag - response_format (ResponseFormat): 'markdown' or 'json' Returns:
str: Markdown table of employer, vacancy count and average salary, or JSON with key
|
| adzuna_estimate_salaryA | Estimate an annual salary for a role from its title and description (Adzuna Jobsworth). Unlike the histogram/history tools (which summarise live ads), this predicts a single figure for a specific role you describe — useful for pricing a CV target or sanity-checking a job ad that states no salary. Feed it a job title plus the ad body or a skills summary. Args: params (JobsworthInput): Validated parameters containing: - country (str): ISO code, default 'gb' - title (str): the job title to price - description (str): role/skills text; the full JD works well - response_format (ResponseFormat): 'markdown' or 'json' Returns:
str: Markdown with the estimated annual salary, or JSON with key |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose: searching jobs, listing categories, salary histogram, salary history, regional breakdown, top companies, and salary estimation. No overlapping functionality, and descriptions are sufficiently detailed to differentiate them.
All tools follow a consistent verb_noun pattern in snake_case, prefixed with 'adzuna_'. The naming is predictable and clear, aiding agent understanding.
With 7 tools, the server is well-scoped for a job search API. Each tool serves a necessary function without redundancy, fitting within the ideal 3-15 range.
The tool set covers core functionalities like job search, category listing, salary analysis, regional data, and top companies. A minor gap is the lack of a dedicated tool to fetch a single job by ID, but the search tool provides sufficient detail via redirect_url.