blind-mcp
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Alternatives to blind-mcp
No user-submitted related servers found.
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- AlicenseAqualityBmaintenanceEnables querying open job postings directly from company applicant-tracking systems (Greenhouse, Ashby, Lever), finding a company's job board, listing and comparing roles, and accessing salary data, all without scraping or API keys.322 PyPIMIT
- 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.1,058 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables searching and analyzing H-1B visa sponsoring companies using U.S. Department of Labor data. Supports filtering by job role, location, and salary with natural language queries to find direct employers and export results.16MIT
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TDQS
Scored across 5 tools
The tools generally occupy distinct layers: topic discovery, listing, keyword search, question answering, and full post reading. The only mild overlap is between company_posts and find, since both return company posts, but their input styles (curated topic vs arbitrary keyword) make the split understandable.
Names are readable and consistently lowercase, but the pattern is mixed: company_topics and company_posts are noun-style resources, read_post is verb_noun, and find/research are bare verbs. There is no single predictable naming convention across the set.
Five tools is a well-scoped size for a read-only Blind search and research server. Each tool serves a meaningful step in the workflow without unnecessary bloat or duplication.
The toolset covers the full read-oriented workflow: discover company topics, list posts, search by keyword, ask a natural-language research question, and read a full post with comments. There are no obvious gaps for the stated domain.