Claude Works
Related Servers
Alternatives to Claude Works
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search company job boards and LinkedIn, judge job fit against a user profile, draft tailored one-page CVs and cover letters with fact-checking, and track applications through MCP tools. Also lets agents perform the AI writing steps themselves while the server enforces gates, verdicts, and document safety checks.MIT
- AlicenseNot gradedqualityCmaintenanceAn MCP server that exposes job-search and application-management capabilities to compatible AI clients, enabling discovery of vacancies, drafting of tailored application materials, and coordinated human-approved submissions.MIT
- AlicenseNot gradedqualityBmaintenanceA local-first, open-source MCP server that analyzes jobs, matches your CV, tailors documents, and tracks applications — all on your machine with no data uploaded.AGPL 3.0
- AlicenseAqualityCmaintenanceAn MCP server that automates job applications by discovering postings from ATS boards, applying eligibility gates, scoring candidates, and drafting answers, while requiring human approval before submission. It respects anti-bot controls and only submits with explicit consent.222MIT
- AlicenseAqualityDmaintenanceA privacy-first MCP server for locally managing job, fellowship, and graduate-school applications. It offers tools for tracking application status, analyzing role fit, generating LaTeX CV/cover letters, interview prep, and discovering public jobs from ATS APIs.81MIT
- AlicenseNot gradedqualityCmaintenanceA local-first MCP server that lets any MCP agent drive a job-search cockpit: scan for roles, inspect and click/type in your real logged-in Chrome tabs via a built-in extension, capture postings, gate eligibility, pre-fill applications without ever submitting, record and replay browser workflows, and store local memory facts — all over loopback stdio with no API keys or cloud.MIT
TDQS
Scored across 16 tools
Each tool maps to a distinct stage or resource in the workflow: discovery, JD fetch, scoring, queue curation, resume build/verify/render, submission planning, and ledger read/write. Closely related tools like get_search_angle vs list_search_angles and discover_jobs vs list_queue are separated by lookup-vs-enumerate and new-discovery-vs-existing-queue.
Nearly all tools follow a clear verb_noun pattern using predictable verbs like list_, get_, fetch_, build_, render_, and record_. The only notable outlier is ledger_summary, which is a noun phrase rather than a verb-led name, but the overall convention is consistent and readable.
At 16 tools, the set is slightly above the typical 3-15 well-scoped range, but the count is justified by the breadth of an end-to-end job-search pipeline. Each tool covers a distinct step with little redundancy, so the size feels earned rather than bloated.
The surface covers the full core loop: discovery, curation, scoring, resume building/verification/rendering, submission planning, email verification, and application ledger recording. Minor lifecycle gaps exist, such as updating or withdrawing ledger entries and programmatically restoring parked roles, but these do not block the main workflow.