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  1. Home
  2. πŸ”Ž Search & Data Extraction
  3. Magnificent Jobs
Magnificent Jobs logo
Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 2:15:48 AM

Magnificent Jobs

User RatingsBe the first to rate and review this MCP server!
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website
jobssearchcareer-toolsmcp

Searches live US job postings by meaning, location, work arrangement, experience, and employment type.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "magnificent-jobs": {
      "command": "npx",
      "args": [
        "-y",
        "magnificentjobs"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ”Ž More in Search & Data Extraction

Overview

Magnificent Jobs MCP server enables semantic search across live US job postings collected from company ATSes. Its read-only tools search jobs, retrieve full job details, find cities, and list states through a hosted Streamable HTTP endpoint with no authentication. Use it when an agent needs current job discovery, location filtering, salary or skills details, and application links. Stdio clients can connect through the provided npx proxy.

Use cases

β€’Find remote engineering roles by skills and seniority
β€’Compare nearby warehouse jobs by distance and pay
β€’Retrieve application links for selected postings
β€’Identify states with current openings in a profession

Key features

β€’Semantic search over live US job postings
β€’City radius, state, and work-location filters
β€’Experience and employment-type filtering
β€’Full job details with salary, skills, and apply link
β€’City and state lookup tools
β€’Read-only Streamable HTTP access

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Magnificent Jobs.

Extracted Tool Capabilities
Semantic search over live US job postings
City radius, state, and work-location filters
Experience and employment-type filtering
Full job details with salary, skills, and apply link
City and state lookup tools
Read-only Streamable HTTP access

How Magnificent Jobs works

What Magnificent Jobs MCP server does

Magnificent Jobs MCP server gives MCP-compatible agents read-only access to a large, frequently refreshed collection of US job postings. The service collects listings from company applicant-tracking systems rather than relying only on major job boards. Because the data is refreshed hourly, results are intended for finding currently available roles, though availability can change after a result is returned.

Search is semantic, so an agent can use a natural-language description of the role and relevant skills. Filters include city radius, state, remote or on-site work, experience band, and employment type. Individual results can provide the job description, salary, skills, and application URL.

How it works

The hosted MCP endpoint is available at https://magnificentjobs.com/mcp and uses Streamable HTTP. It does not require an account, API key, or authentication. A client sends tool requests to the service, which returns search or reference data. Searches are sent to the service and are not retained beyond standard server logs, according to the provided privacy information.

Magnificent Jobs MCP server exposes four tools:

  • search_jobs performs semantic job searches with supported geographic and role filters.
  • get_job retrieves the full information for a selected posting.
  • find_cities helps identify supported cities for location-based searches.
  • list_states returns available US states.

All tools are read-only. The server can identify application links, but it does not apply to jobs or change listings.

Setup and configuration

For clients that support Streamable HTTP, add the endpoint as an HTTP MCP server. A representative configuration is:

config.json
{
  "mcpServers": {
    "magnificent-jobs": {
      "type": "http",
      "url": "https://magnificentjobs.com/mcp"
    }
  }
}

Claude Code can add the server with claude mcp add --transport http magnificent-jobs https://magnificentjobs.com/mcp. Cursor, Windsurf, and VS Code can use the same HTTP configuration in their MCP settings. Claude.ai and Claude Desktop support adding the endpoint as a custom connector.

For stdio-only clients or Docker deployments, run npx magnificentjobs mcp. This local process proxies MCP requests to the hosted service. The package also provides npx magnificentjobs setup for Claude Code and Codex, and npx magnificentjobs for terminal use.

Limitations and notes

Coverage is limited to jobs in the United States. The service is read-only and does not create, update, or submit applications. Job counts and availability are dynamic, so an advertised listing may change or disappear. The plugin files are licensed under MIT, while the served job data is subject to magnificentjobs.com terms. Review the service privacy policy when handling search queries.

Read the full README β†’View source on GitHub β†’

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    Read job postings live from each employer's own applicant tracking system at run time β€” Greenhouse, Lever, Workday, Ashby, Workable, SmartRecruiters, Breezy, Personio, Pinpoint and Rippling. 27,681 company boards, one normalized schema, no stored index so a row cannot outlive the posting. Remote MCP endpoint: https://mcp.apify.com/?tools=starbright_overlap/ats-job-feed (the auto-generated snippet above shows the store page URL, not the MCP endpoint)

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
2
Stargazers on the source repository.
npm downloads
44
Package downloads in the last 30 days.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Magnificent Jobs

Magnificent Jobs is an MCP server that connects AI clients to a live US job-posting database sourced from company ATSes. Its main tools are search_jobs for semantic searches, get_job for full posting details, find_cities for location lookup, and list_states for state availability. The tools are read-only and require no authentication.

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Technical Specs & Signals

CategoryπŸ”ŽSearch & Data Extraction
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), OpenAI Codex CLI
Last updatedOct 6, 2026
9/9 checks healthy over the last 44d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 21, 2026
npm downloads44/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
41Quality signal: Fair Β· 41/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev Β· magnificentjobs (npm)

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