job-posting-mcp
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Alternatives to job-posting-mcp
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Related Servers
- FlicenseNot gradedqualityBmaintenanceEnables automated job searching from multiple boards, filtering matches against saved criteria, deduplicating seen postings, and tracking application statuses. Runs locally and integrates with Claude Desktop for natural-language queries and updates.-
- AlicenseAqualityCmaintenanceEnables users to manage job applications (add, list, update status) through natural language conversations, using Notion as the backend.3MIT
- AlicenseNot gradedqualityBmaintenanceEnables natural-language job search and aggregation from multiple recruitment websites with zero configuration, providing filtered results and standardized output for AI assistants.26 npmISC
- AlicenseNot gradedqualityCmaintenanceEnables aggregated job scraping from LinkedIn, Indeed, Google Jobs, Adzuna, Jooble, Remotive, and Himalayas, with deduplication and retrieval of job postings via MCP tools.MIT
- AlicenseNot gradedqualityCmaintenanceAn AI-powered job search and application assistant that enables multi-source job hunting, OpenAI matching, cover letter generation, and hybrid application automation via Playwright, Chrome CDP, screen OCR, and manual assist.MIT
- AlicenseNot gradedqualityAmaintenanceEnables job search and scraping across multiple job boards (LinkedIn, Indeed, Glassdoor, etc.) with advanced filtering, directly from Claude Desktop or other MCP clients.5MIT
TDQS
Scored across 4 tools
Each tool maps to a distinct stage in a clear pipeline: searching job listings, fetching details, registering postings, and sending a summary. There is no overlap or ambiguity between tool purposes.
All tool names follow a consistent verb_noun pattern: search_jobs, get_job_detail, register_posting, send_collection_summary. The style is uniform and predictable across the entire tool set.
Four tools is well-scoped for this workflow: search, detail extraction, registration, and notification. Each tool serves a necessary step without redundancy or bloat.
The tool set covers the full collection lifecycle from searching and extracting details to registering in Notion and reporting via Discord. There are no obvious dead ends or missing operations for the stated purpose.