Ai Dev Jobs Mcp

{
  "mcpServers": {
    "ai-dev-jobs": {
      "url": "https://aidevboard.com/mcp"
    }
  }
}

No API key or authentication is required.

Available Tools

search_jobs

Search the job index by keyword, location, company, or work arrangement. Returns matching listings with title, company, location, and salary information.

search_jobs({ query: "machine learning engineer", location: "remote" })

get_job

Retrieve full details for a specific job listing by ID, including description, requirements, salary range, and application link.

get_job({ id: "abc123" })

list_companies

List all companies in the index with their open position counts. Useful for discovering which companies are actively hiring.

list_companies({})

get_company

Retrieve details for a specific company, including available AI roles when exposed by the endpoint.

get_company({ id: "openai" })

get_stats

Get aggregate statistics about the job market: total listings, top companies by open roles, role distribution, and location breakdown.

get_stats({})

match_jobs

Match jobs against a candidate profile, skills list, or preferences.

match_jobs({ skills: ["python", "llm", "pytorch"], workplace: "remote" })

get_salary_data

Retrieve salary statistics for roles, tags, levels, or locations when available.

get_salary_data({ tag: "llm", level: "senior" })

list_tags

List indexed tags that can be used to filter searches or salary analysis.

list_tags({})

Examples

Example 1: Find Remote ML Jobs

Use @ai-dev-jobs-mcp to find remote machine learning engineer positions.

The agent will call search_jobs({ query: "machine learning engineer", location: "remote" }) and return matching listings.

Example 2: Check Which Companies Are Hiring

Use @ai-dev-jobs-mcp to list all companies currently hiring for AI roles.

The agent will call list_companies({}) and return companies sorted by number of open positions.

Example 3: Get Job Market Overview

Use @ai-dev-jobs-mcp to show current AI job market statistics.

The agent will call get_stats({}) and return aggregate data on listings, top employers, and role distribution.

Example 4: Get Full Job Details

Use @ai-dev-jobs-mcp to get the full details for job ID abc123.

The agent will call get_job({ id: "abc123" }) and return the complete listing with requirements and application link.

Example 5: Match Jobs to a Candidate Profile

Use @ai-dev-jobs-mcp to match remote LLM roles to a senior Python and PyTorch profile.

The agent will call match_jobs({ skills: ["python", "llm", "pytorch"], workplace: "remote" }) and return suitable listings.

Example 6: Compare Salary Data

Use @ai-dev-jobs-mcp to compare senior LLM salary data.

The agent will call get_salary_data({ tag: "llm", level: "senior" }) and summarize available compensation ranges.

Best Practices

• Use search_jobs with specific keywords for targeted results rather than broad queries
• Use list_companies to discover companies, then search_jobs filtered by company name for focused searches
• Use get_stats to provide users with market context before diving into specific listings
• Use match_jobs when the user gives skills, seniority, location, or work arrangement preferences
• Use get_salary_data only as market context; remind users that listings and compensation change quickly
• Combine with resume or cover letter skills to create end-to-end job application workflows

Limitations

• The index covers AI and ML roles specifically; general software engineering jobs outside the AI space may not be included.
• Job listings are refreshed regularly but may have a short delay before new postings appear.
• Salary data is available when companies provide it; not all listings include salary information.
• Counts and salary medians are live market data and should be refreshed with get_stats before quoting them in user-facing output.

Related Skills

• @not-human-search-mcp - Discover AI-ready tools and APIs via MCP
• @mcp-builder - For building your own MCP servers