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---
name: ai-dev-jobs-mcp
description: "Search indexed AI and ML jobs, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP"
category: mcp
risk: safe
source: "https://aidevboard.com"
source_type: community
date_added: "2026-04-16"
tags: [mcp, jobs, ai-jobs, ml-jobs, recruiting, job-search, career]
tools: [claude, cursor, gemini]
---
# 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. Coverage and market statistics change; retrieve current results with timestamps and do not treat a contributed historical snapshot as current market evidence. 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 has historically been documented as unauthenticated; verify current access requirements.
### Claude Desktop / Cursor / Windsurf
```json
{
"mcpServers": {
"ai-dev-jobs": {
"url": "https://aidevboard.com/mcp"
}
}
}
```
Verify actual available tool schemas and access. A host configuration template does not prove the endpoint is available or that a connection succeeded.
## Privacy and source verification
Search with the minimum necessary skills/preferences; transmitting a private CV or identifying candidate details requires explicit consent. Do not submit applications, contact recruiters or configure monitoring without the corresponding user request. Verify listing dates, location/remote eligibility, salary currency/period and application URL against the employer's original page; exclude stale or suspicious listings. Market medians require a disclosed sample and missing-salary policy.
## 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
```text
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
```text
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
```text
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
```text
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
```text
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
```text
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