| name | ai-dev-jobs-mcp |
| description | Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP |
| category | Development & Code Tools |
| source | antigravity |
| tags | ["python","api","mcp","claude","ai","agent","llm","workflow","design","cro"] |
| url | https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/ai-dev-jobs-mcp |
AI Dev Jobs MCP
Overview
AI Dev Jobs is a remote MCP server that gives AI agents access to a live index of AI and ML job listings. As of April 17, 2026, the live MCP stats report 8,405 active roles across 489 companies, a $213,500 median salary, and 600 new jobs this week. Agents can search jobs by role, location, or company, retrieve full job details, list hiring companies, match roles to a profile, and get salary or aggregate market statistics. It is designed for AI agents that assist with job searching, recruiting, or labor market analysis.
When to Use This Skill
- Use when helping a user search for AI or ML engineering jobs
- Use when an agent needs to look up which companies are hiring for specific AI roles
- Use when building recruiting or talent-matching workflows
- Use when analyzing the AI job market (open positions, top companies, role distribution)
MCP Configuration
Add the AI Dev Jobs MCP server to your client configuration. The endpoint uses streamable HTTP and requires no authentication.
Claude Desktop / Cursor / Windsurf
{
"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
