"A server for finding job opportunities" matching MCP servers:

Enables trades and field service work to be tracked per job: logging labor hours at worker rates and materials used, keeping running totals in integer cents per currency, and moving each job through a status machine from open to invoiced or archived. It also produces daily or weekly summaries of hours and value, and renders a printable card with a signature line for client sign-off.

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.

Enables users to screen pasted job offers against a personal skills profile kept in local Markdown files, returning a fit verdict with evidence and deal-breakers while tallying missing skills into a recurring gap radar. It also tracks each offer through its application lifecycle and renders a one-page CV tailored to a specific offer from existing CV data, without scraping, network access, or its own AI.

Enables AI assistants to query a job-search tracker read-only for roles, due dates, individual company records, and status summaries.

Enables Claude to record job applications in a local JSON file and then list them, change their status (applied, replied, interview, rejected, offer), and surface stale applications that need a follow-up. Requires no database or account, and validates every input so saves stay clean.

organize job-hunting campaigns

Enables any MCP-capable AI app to act as a personal job-search assistant by storing resumes and job postings, matching skills, tracking applications, and analyzing market skill demand.

Enables job seekers to structure job descriptions, search a personal Markdown profile with hybrid BM25/dense retrieval, and compare a posting against that profile to see which requirements are supported, weak, or missing evidence. It also tracks applications and follow-up deadlines through JSON-backed tools whose writes stay as previews until a human turn confirms them.

Private Notion-backed recruitment tracker for AI/LLM engineer job hunting, exposed as an MCP server to manage applications, interviews, and contacts securely.

Enables AI agents to manage a personal job application tracker, allowing users to list, add, update, and delete job applications with company, role, and status details through natural language.

MCP server providing construction job costing data and interactive visualizations for a fictitious general contractor, enabling queries on projects, budgets, cost codes, change orders, and cash flow.

Enables Claude Web users to manage their job application workflow by storing profile and resume data, analyzing job descriptions, preparing applications, and tracking progress — all with manual submission and no platform automation.

Enables users to track job and internship applications, statuses, deadlines, and interviews, with upcoming reminders and CSV or Markdown export. It runs locally and stores data in a single JSON file without network calls, accounts, or API keys.

Automates job application tracking and resume/cover letter generation using AI, integrating with Google Drive, Notion, and Gmail.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Local MCP server that manages a job search using Markdown files, enabling skills tracking, gap analysis, and offer pipeline management via Claude.

MCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.

Enables Codex projects to read Git-backed kickoff, acceptance, handoff, progress, and next-step context, and to append validated, audited progress events through scoped MCP tools. This supports visible agent progress, resumable sessions, and safer handoffs.

Enables Codex and other MCP clients to read kickoff cards, acceptance criteria, Git evidence, and next steps, then append validated, audited progress events for resumable project handoffs.

Enables AI-powered project management by connecting Claude to Planka kanban boards via 75+ MCP tools for creating, updating, and managing projects, boards, lists, and cards.

Enables agents to read a project's kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, and to append validated, audited progress events with matching Git commits through short-lived scoped credentials.

Enables AI agents to retrieve Git-backed project context, handoff packages, progress, and next steps, and to append validated progress events with matching project-record commits. This supports visible agent progress, resumable work, and safe handoffs while keeping high-risk actions outside the MCP surface.

Enables agents to read Git-backed project context and append audited, idempotent progress events through scoped, short-lived credentials, supporting resumable handoffs and visible project state.

Enables AI agents and users to verify claims about Jira issues and issue counts against live Jira, retrieve verifiable facts for drafting updates, and re-check previously posted claims. It provides read-only tools and an issue panel so status updates can be evidence-based and mismatches corrected before or after posting.

Enables Codex sessions to read a project's kickoff card, acceptance criteria, handoff package, progress, Git trail, and next step, then append validated, idempotent progress events backed by matching project-record Git commits. Access is limited to a short-lived, revocable credential scoped to one workspace and project, with high-risk actions kept outside the server.

Enables AI agents to read Git-backed project context and append validated, audited, idempotent progress events through short-lived, scoped credentials, supporting resumable work and safer handoffs.

Enables Codex agents to read a project's kickoff card, acceptance criteria, handoff package, progress, Git trail and next step, then append validated, audited, idempotent progress events that become matching project-record Git commits. Access is scoped to one workspace and project through short-lived, revocable, hash-stored credentials that cannot touch members, keys, deletion, publication or deployment.

It enables AI agents to retrieve Git-backed project context, handoff packages, and next actions, then append validated, audited progress events as project-record commits.

It lets AI coding clients read a project’s kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, then append a validated, audited, idempotent progress event with a matching project-record Git commit.

Enables Codex to read a project's kickoff card, acceptance criteria, AGENTS rules, handoff package, progress, Git trail, and next step, and to append validated, audited, idempotent progress events with a matching Git commit.