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"Finding LinkedIn users by educational background" matching MCP servers:

  • F
    license
    Not graded
    quality
    D
    maintenance
    A user management MCP server that enables CRUD operations on users stored in a JSON file, with random user generation using Faker.
    77
    1
  • A
    license
    Not graded
    quality
    C
    maintenance
    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.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    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.
    24
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    A local MCP server that gives Claude in the browser tools to interact with a Fedora machine, including file operations, system diagnostics, build tasks, and root actions via Polkit.
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables querying and updating Markdown frontmatter metadata using DuckDB SQL, with optional semantic search capabilities for finding similar documents based on content.
    9
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    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.
    4
    13
    2
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Read-only MCP server for ProjectLibre .pod files that enables finding project files, summarizing Gantt charts, inspecting tasks, and analyzing schedules without opening ProjectLibre.
    4
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    A Model Context Protocol (MCP) server that enables AI assistants to perform comprehensive file operations including finding, reading, writing, editing, searching, moving, and copying files with security validations.
    7
    1
  • A
    license
    A
    quality
    Not graded
    maintenance
    Enables persistent SSH sessions and SFTP file transfers with native GUI credential prompts for secure remote server management. It supports background command execution, session pooling, and automatic connection reuse across multiple commands.
    7
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables remote shell command execution and file operations with restricted/unrestricted modes, background tasks, safe editing, and code search.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    A local, read-only MCP server that lets AI agents inspect and analyze photo libraries by scanning files, aggregating EXIF stats, finding duplicates, scoring blur, and generating cull reports without uploading any data.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables natural-language queries about disk usage by driving WizTree scans and analyzing cached CSV snapshots. Users can find large files, duplicate data, folder breakdowns, and more without repeatedly rescanning the disk.
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables users to manage tasks through a simple JSON file interface. Provides basic task management functionality by reading and writing to a configurable tasks.json file.
    12
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Local macOS MCP bridge that gives ChatGPT shell, unrestricted filesystem access, real PTY sessions, background jobs, and read-only stored Codex history. ChatGPT stays the reasoning layer; the bridge makes no model calls.
    22
    MIT