"A platform for professional networking and job searching" matching MCP servers:

Enables personalized Korean job search by providing independent MCP servers for Wanted, Saramin, and JobKorea job APIs, along with a resume-based agent skill for tailored job matching.

Query your Juniper Mist network in natural language directly from Claude Desktop, providing read-only access to network inventory, clients, alarms, and more via the Mist API.

Local-first MCP server for research on AI-assisted browsing of a user-owned professional-network account (e.g., LinkedIn), providing read-focused tools such as profile, company, search, and feed reads.

Low-token MCP server for HPE Networking automation, enabling search of Aruba/HPE docs, OpenAPI details, Central health checks, troubleshooting workflows, configuration management, and guarded ArubaOS 8 migrations and GreenLake Platform operations across platforms like Aruba Central, ClearPass, Mist, and Apstra.

A professional implementation of a Model Context Protocol server that enables integration between DaVinci Resolve video editing software and AI assistants like Claude Desktop or Cursor.

Enables DevOps Agent to troubleshoot VPC networking problems by running live probes (dig, nc, ping, traceroute) via SSM and querying VPC Flow Logs via Athena.

Enables users to interact with professional digital twin data via Claude Desktop, including searching experience, managing contact and scheduling, and generating introductions and project showcases.

Enables evidence-grounded resume tailoring by generating ATS-readable LaTeX/PDF resumes from a user-curated experience bank, with every bullet traceable to evidence and inferred wording flagged for user approval.

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.

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.

Enables searching for jobs with filtering by keywords, excluded keywords, remote preference, and time range.

JobPilot is a next-generation career assistant powered by AI Agents and the Model Context Protocol (MCP). It acts as your personal recruiter, tirelessly searching for jobs on platforms like LinkedIn, optimizing your resume for specific job descriptions (JD), and even automating the application process. Designed for the age of AI, JobPilot exposes a full MCP server, allowing you to connect it with

A personal job-search assistant for Claude Desktop that searches real job boards, scores each job 0–100 for fit, and displays a ranked board for fast triage.

MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.

Enables searching and filtering public institution job postings from the Korean government's ALIO system via MCP.

Enables AI assistants to evaluate job postings under a UK visa constraint, including sponsor-licence checks with confidence grades, screening for seniority and hard requirements, and role searches that exclude recruitment agencies. It also tracks application history to help avoid duplicate applications.

MCP server for XXL-JOB Admin that enables AI assistants to manage scheduled jobs through natural language, including task lifecycle management, manual triggering, cron preview, and execution log retrieval.

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.

MCP server that scours job openings from public, ToS-clean sources (Greenhouse, Lever, Ashby, HN, RemoteOK, Adzuna, USAJobs) and provides tools for job search, company listings, and salary context.

Enables delegating checkable subtasks such as summarization, search-and-summarize, and file downloads to a local OpenAI-compatible model, with mandatory result verification and job statistics.