"Reactive Resume" matching MCP servers:

MCP server for browsing and searching your local resume and job application documents

Resume Parser AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables parsing of raw resume text into structured JSON format with organized sections for skills, experience, education, and projects. Uses Google's Gemini AI model to extract and categorize resume information from unstructured text input.

Provides job search, local resume parsing, and resume-to-job matching via official APIs and local file processing.

Connects Claude to Ascend job search data, providing read-only access to job applications, resume, dashboard stats, and analytics.

Enables users to create and refine a research outline, queue report generation in the background, and retrieve progress or completed Markdown reports, with automatic checkpointing so unfinished work can resume after a restart.

Enables generating yearly active and reactive power load time series for pandapower grids from German BDEW standard load profiles, with assignment of load categories, stochastic noise, scenarios, run manifests, plotting and time-series power flow. Also exposes run inspection, regeneration and verification so tool-calling LLM clients can produce and cite reproducible, checksummed results.

Enables parsing and extracting structured data from resumes using the Rchilli API. Supports resume parsing from public URLs or binary data in base64 format.

An MCP server providing a harness-neutral trading research capability with a durable run lifecycle, supporting stage commit, receipts, pause/resume, cancellation, decision memory, report export, and credential-free fixture-based research workflows for TradingAgents integrations.

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.

Enables LLMs to conduct dynamic, conversational surveys with skip logic, session resume, and pluggable storage.

Enables JD-aware resume matching through MCP tools, providing deterministic scoring, gap analysis, bullet rewrites, and tailored cover letter generation.

Enables AI hosts to analyze resume text, compare it against job descriptions, calculate skill-based match scores, generate prioritized learning plans, and save results to SQLite via MCP tools.

MCP server that connects AI clients to RoASr ad-analytics for Meta, Google Ads, and Yandex Direct, enabling ad audit findings, KPI summaries, competitor creative spy, and Vision creative analysis. Read-only except for a Yandex Direct campaign pause/resume tool, scoped by API key permissions.

Gives existing agents controlled access to a local Neo4j research memory, letting them import papers and notes, record models, experiments, evidence and decisions, search full text plus graph neighbors, and resume bounded research sessions with checkpoints and provenance. Twelve stdio tools and seven companion skills turn reading, extraction and handoffs into auditable, revision-checked records.

A persistent MCP-to-ACP bridge that lets a Codex-led controller delegate research tasks to DeepSeek Harness for derivation, computation, and file work, while recording tasks, sessions, routing, and result evidence. It supports idempotent tasks, clarification follow-ups, session resume, model routing, and bounded recovery, with approvals relayed back to the controller.