honest-cv
Related Servers
Alternatives to honest-cv
- AlicenseNot gradedqualityCmaintenanceMCP server that aggregates job listings from Remotive and Arbeitnow, with local SQLite caching, application tracking, and saved searches.66 npmMIT
- AlicenseCqualityDmaintenanceMCP server for combined multi-portal job search, connecting StepStone, Arbeitnow, Remotive, and We Work Remotely, with robust error isolation and markdown reports. It respects portal restrictions and avoids scraping protected services.13BSD 3-Clause
- AlicenseAqualityBmaintenanceEnables Claude Code users to safely edit their own LinkedIn profile by drafting proposed changes as diffs and requiring explicit human approval before the single write tool applies them.7MIT
- AlicenseNot gradedqualityAmaintenanceEnables 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.66 npm24MIT
- AlicenseAqualityCmaintenanceEnables importing resumes in Markdown, PDF, DOCX, or text form, scoring their completeness against a job description's keywords, and AI-polishing the wording without inventing facts. Results can be exported back out as Markdown, PDF, or Word, and the server runs inside any MCP-compatible app or standalone with a DeepSeek/OpenAI-compatible key.41MIT
Related Servers
- AlicenseAqualityBmaintenanceMCP server for generating professional ATS-friendly CVs as PDF/DOCX from AI conversations. Auto-manages a Docker container with a visual editor for layout customization.419 PyPIMIT
- FlicenseBqualityCmaintenanceMCP server for analyzing resumes, calculating ATS match scores, and suggesting job-tailored improvements.3-
- AlicenseCqualityDmaintenanceAn MCP server that analyzes job postings and generates tailored, ATS-friendly CVs, cover letters, and email templates in multiple formats including PDF.17122 npm30MIT
- AlicenseNot gradedqualityDmaintenanceMCP server for processing Markdown resumes into multiple formats (PDF, LinkedIn templates) with AI analysis and Claude integration.MIT
- FlicenseNot gradedqualityDmaintenanceMCP server for maintaining a professional profile database and generating tailored, ATS-optimized resumes for specific job postings.1-
- AlicenseNot gradedqualityBmaintenanceMCP server for CVX, enabling AI assistants to create, validate, and build professional CV PDFs from YAML content, with tools for schema retrieval, project initialization, validation, and rendering.457 npm2Apache 2.0
TDQS
Scored across 31 tools
Despite 31 tools, the descriptions carefully staked out distinct boundaries (singular set_skill vs plural set_skills vs checklist_apply; build_cv vs build_letter vs export_json_resume vs linkedin_profile; score_job vs gap_report vs check_claims). A few clusters are dense—upsert_role/remove_role, remove_bullet/remove_role, and the several output builders—but the cross-references ('use X instead') keep them distinguishable.
Predominantly consistent snake_case verb_noun (get_inventory, set_skill, upsert_role, add_bullet, build_cv, score_job). Minor deviations: a few noun-first names (checklist_list, checklist_new, checklist_apply, linkedin_profile, interview_prep, gap_report) break the otherwise uniform verb-first pattern.
31 tools is well above the 16-25 heavy threshold and feels over-decomposed for a CV/profile domain. Removing a role/bullet/skill/publication are each their own tool, and multiple near-parallel setters (set_skill/set_skills/set_contact/set_profile_details) inflate the surface beyond what the task needs.
Coverage is broad: profile lifecycle, import, skills, roles, bullets, education, publications, contact, variants, CV/letter rendering, PDF verification, applications, interview prep, job scoring and gap analysis. Minor gaps exist (no explicit remove_variant or remove_education), but core workflows have no dead ends.