"Job search for senior software engineer positions" matching MCP servers:

Enables 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.

MCP 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.

Enables searching and evaluating job postings from LinkedIn and freehire.me directly through Claude Desktop. Provides tools to search jobs, fetch full posting details, and assess candidate fit using eligibility scans and a scoring rubric.

Enables an MCP-capable coding agent to run a local-first job search: recording verified opportunities in a private SQLite tracker, tracking follow-ups and outcomes, and preparing evidence-based resumes, application answers, and outreach drafts. It keeps all personal data on the user's machine and stops before submitting applications, uploading documents, or contacting anyone.

An MCP server that finds recent job postings based on your LinkedIn profile, scores each against your resume, and logs the results — all without logging into or scraping LinkedIn.

An 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.

Enables running a job search with Claude Code: parses CV, discovers roles, fetches exact application fields, drafts non-trivial applications (positioning, not autofill), and renders an offline dashboard for review.

An MCP server that retrieves resume/experience evidence relevant to a job description via vector RAG, and tracks fit-analysis results in a configurable tracking store (Notion or SQLite), with tools like match_job, push_to_tracker, and list_applications.

Cache-first MCP server for Romanian job search with Jooble integration, enabling local job search, quota management, and structured detail extraction.

Enables agents to run constrained optimization loops on local source files, using Step-5-Preview to propose changes while measuring candidates and returning verified patches.

Enables 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.

Provides Flutter best practices, code analysis, and state management recommendations for senior developers.

Enables Claude to search developer jobs by frontend stack such as React, Vue.js, Angular, TypeScript, and Next.js, and retrieve matching job details with application links from a local SQLite database.

Gives coding agents a memory of codebases by searching repositories using semantic similarity and structural call/import graphs, enabling reuse of proven patterns and reducing token usage.

Exposes the entire job-search workflow as 13 chat-driven tools, letting users refresh a ranked feed of live postings from employers' public hiring APIs, view and score job descriptions, tailor and render truthful one-page LaTeX resumes, review skill gaps and screening answers, and log applications. It keeps a human in the loop, since nothing is ever submitted automatically.

An 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.

Enables LLMs to list, open, and close installed software on Windows, macOS, and Linux through natural language.

Profile-driven job search engine that aggregates postings, scores them against a user's profile, filters by eligibility (location, timezone, work authorization), and exposes find_jobs, list_sources, and describe_engine to local AI agents over MCP.

Fans out agent requests to AWS, Azure, and GCP MCP servers, using a local sentence transformer to surface only the 15 tools relevant to the current task, reducing context bloat.

Enables real-time job discovery across multiple job boards and remote APIs, providing normalized and deduplicated job listings to AI agents via MCP.