mcp-job-radar
Related Servers
Alternatives to mcp-job-radar
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to search and analyze job listings from verified company boards privately, matching resumes to roles with evidence and suggesting resume improvements.1,614 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search remote job listings, read full descriptions and structured metadata, compare roles, and retrieve original application links when the account's subscription and scopes allow.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search, score, and track job applications from ATS boards via MCP, with explainable matching and an append-only application history.MIT

Civify MCP Serverofficial
AlicenseAqualityBmaintenanceEnables AI agents to parse resumes, tailor CVs, score ATS compatibility, redact PII, scrape job postings, and track applications through a career platform.80MIT- AlicenseNot gradedqualityAmaintenanceEnables AI agents to discover, filter, and track job openings based on the user's local resume, without uploading data to the cloud.18MIT

FoundRole MCPofficial
AlicenseAqualityBmaintenanceEnables AI assistants to search live jobs, view full details, save and track applications in a Kanban board, set follow-up reminders, and subscribe to job alerts—no account needed for searching.20115 npmMIT
TDQS
Scored across 4 tools
Each tool has a distinctly different purpose: search finds jobs, rank orders known jobs, explain provides reasoning for one job, and export renders a shortlist. There is no overlap or ambiguity in their roles.
All tool names follow a consistent verb_noun pattern (export_shortlist, search_jobs, rank_jobs, explain_match), with clear action-oriented verbs and descriptive nouns. The pattern is uniform.
With 4 tools, the server is precisely scoped for a job radar workflow: search, rank, explain, and export. Each tool is essential and there is no bloat or redundancy.
The tool set covers the complete lifecycle of the domain: discovering jobs (search), evaluating them (rank), understanding results (explain), and producing output (export). No critical operations are missing for the stated purpose.