"A search for recent LinkedIn posts about a specific job role" matching MCP servers:

Enables managing a job search through natural language: tracking applications, discovery leads, interview prep, and resume generation. Connects to Claude via MCP to read and update local Excel files and documents.

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

Enables Claude to read your own LinkedIn profile directly from a local data export, with no API keys, OAuth, or scraping. Tools cover profile, positions, skills, posts, connections, and more, supporting editing drafts and cross-checking against résumés.

A local-first LinkedIn workspace that turns your own documents, CVs, repositories, and exports into a verifiable claim ledger and evidence-backed canonical profile, enabling evidence import, claim verification, profile patching, post drafting, content planning, analytics, and publication approvals through MCP tools — all stored locally in SQLite with an optional human-review dashboard.

Enables Claude to parse CVs, search job boards (Remotive, Arbeitnow, Adzuna, Greenhouse/Lever), tailor resumes and cover letters, and prepare application packages with direct apply links—without ever auto-submitting. It runs 100% locally and free, storing jobs and applications as JSON files.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.

Provides fully local, privacy-preserving semantic search over file names and paths via MCP, using BGE embeddings for fuzzy matching and supporting incremental updates, watch mode, and a loopback-only HTTP server.

A collection of small MCP servers for macOS automation that expose Apple Mail, MoneyMoney, and Spotlight functionality as tools via AppleScript and command-line, enabling AI applications to search mail, manage contacts and transactions, and perform system-wide file searches through natural language.

This server provides: * Fast file search capabilities using Everything SDK * Windows-specific implementation * Complements existing filesystem servers with specialized search functionality

Provides a secure workspace for AI-driven file management and Python script execution designed to run on Vercel. It enables tools for full file operations and code execution within a sandboxed environment.

A local-first MCP server that enables semantic search over PDF and DOCX documents using structure-aware parsing and vector storage. It allows users to query their local knowledge base through Claude Code without cloud dependencies or GPU requirements.

MCP server for full-text search across PDF document collections with offline indexing, ranked results, snippets, and page rendering.

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

A sophisticated MCP server providing powerful file search capabilities including single file search, recursive directory search, and file information retrieval.

MCP server that encapsulates Apple Mail on macOS via AppleScript, enabling invoice PDF search, attachment saving, and message flagging through natural language.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

A Model Context Protocol server that enables keyword search within files, returning matching lines with line numbers.

Integrates Everything Search with Claude Code for lightning-fast file searching across entire drives, up to 400x faster than traditional methods.