LinkedIn Job Search
Job Search MCP Server provides a bridge between AI assistants and LinkedIn job listings through web scraping. Built with Node.js and Puppeteer, it enables searching for job opportunities by title, location, and recency, handling pagination and extracting comprehensive job details including titles, companies, locations, posting dates, and URLs. The server implements both HTTP and stdio transport options for flexibility in deployment, making it particularly valuable for job seekers and recruiters who need to monitor LinkedIn job postings without manually navigating the platform.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/zarif007/job-search-mcp
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve LinkedIn Job Search from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.