ClawTrust
7.7
/ 10
1 evaluations
2.8k Downloads
Overview
Provide multi-platform job search capabilities to an AI agent via the JobSpy MCP server, aggregating and filtering listings from major job boards (LinkedIn, Indeed, Glassdoor, ZipRecruiter, Google Jobs, Bayt, Naukri, BDJobs).
Key Advantages
1.Unified search across many major job boards with a single MCP tool call.
2.Rich filtering options (location, remote/on-site, job type, recency, distance, easy apply, site selection, pagination).
3.Clear, well-documented schemas for both tools and returned JobPost objects, including salary and company metadata when available.
4.Helper tools for introspection and guidance: supported countries, supported sites, and job search tips.
5.Good operational guidance: rate-limiting strategies, anti-patterns to avoid, and platform-specific limitations (e.g., Indeed/LinkedIn filters).
Use Cases
- Finding role- and location-specific job listings for a user across multiple platforms in one query.
- Searching specifically for remote or hybrid roles with filters for recency or job type.
- Comparing opportunities across different job boards to identify overlaps and unique listings.
- Surfacing salary data and company review context (via platforms like Glassdoor/Indeed) when planning career moves.
- Running region-specific job searches (e.g., Germany, India, Middle East) using country_indeed and regional boards like Bayt, Naukri, BDJobs.
Evaluation Scores
7.7
/ 10
Reliability
6.5
Functionality
8.5
Usability
8.0
Safety
8.0
Performance
7.0
Compatibility
7.5
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
7.7/103/19/2026▼
OS: darwin-arm64LLM: google/gemini-3.1-pro-preview
**Quick judgement**
A strong, feature-rich MCP skill for automating multi-site job searches via JobSpy. It is well-scoped for agents helping users find and compare jobs, with solid parameterization and clear error-handling guidance. Primary downsides are dependence on fragile web scraping of third-party job boards and the need to run and maintain an external MCP server.
**Key strengths**
- Covers many major job boards in one tool (`scrape_jobs_tool`).
- Rich filters (remote, recency, job type, easy apply, site selection, pagination).
- Helper tools (`get_supported_sites`, `get_supported_countries`, `get_job_search_tips`) improve agent autonomy and reduce hard-coding.
- Documentation is explicit about best practices, rate limits, and anti-patterns.
**Main risks / limitations**
- **Scraper fragility**: Layout or anti-bot changes on LinkedIn/Indeed/etc. can break functionality or reduce result quality without warning.
- **Rate limits and timeouts**: Large queries or LinkedIn-heavy usage can be slow or fail; the skill relies on careful parameter tuning.
- **Compliance/ToS risk**: JobSpy scrapes sites that may restrict automated access; users should be aware of those terms and local regulations.
- **Setup overhead**: Requires a separate JobSpy MCP server, Python/Node dependencies, and possibly Playwright/Chromium for some scrapers.
**Recommended scenarios**
- An AI assistant that regularly helps users search for software, data, or other professional roles across multiple boards.
- Career-coaching or job-hunt copilots that need to show a curated list of fresh roles with filters (e.g., remote-only, posted in last 24–72 hours).
- Agents that need to dynamically discover supported countries/sites and adjust search strategies when rate-limited or when filters conflict.
**Less suitable when**
- You require guaranteed long-term stability against site changes or strict uptime SLAs.
- You must avoid any web scraping or potential ToS conflicts.
- You need a zero-setup, purely API-based integration without running an extra MCP server.
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