"Fetching data using MCP (Master Control Program or related tools)" matching MCP servers:

Provides full control of a macOS system, enabling AI agents to execute shell commands, run AppleScript, manage files and processes, and perform human-like GUI interactions such as clicking, dragging, scrolling, and typing, with a screenshot-based perception loop.

Turns Canvas LMS into a scriptable pipeline and exposes it to AI assistants via MCP for querying courses, grades, assignments, and syncing files using natural language.

Manage local/SSH/WinRM remote hosts via MCP, providing tools for exec, filesystem, screen, process, serial console, and configuration.

Enables comprehensive Android device control over ADB, including UI automation, screen capture/recording, app management, file operations, and log/notification access, with a built-in permission system.

Five generic MCP tools for deep Home Assistant administration, plus a native Home Assistant LLM API and a reusable agent skill.

A safety-first MCP server enabling file inspection/editing, allowlisted command execution, process listing, and optional desktop automation. It emphasizes security with disabled writes/commands/GUI by default and local feature gates.

A production-grade MCP server that lets AI cloud services control and manage your Linux server securely via HTTP/SSE.

Local MCP server that registers restricted Python filters and runs them against local JSON, YAML, and TXT files, enabling safe data filtering and file conversion.

MCP server that profiles local data files (CSV, Parquet, JSON, Excel) and returns compact structured summaries with data-quality flags, enabling AI agents to understand datasets without seeing raw rows.

Enables web ChatGPT to drive durable, sandboxed Claude Code sessions on a local Mac, with controlled read, modify, verify, and recover operations via six session control tools.

Enables extraction of recipes from PDFs or JPG files and conversion into structured HTML, with interactive region selection and OCR via a web GUI.

MCP server wrapping DeepSeek's agent harness tools into minimal/standard modes, enabling persistent shell, file editing, search, job management, and more via natural language.

MCP server for accurately reading and writing Excel .xlsx files while preserving structure, styles, and formulas. Provides tools for inspecting, editing, and aggregating spreadsheet data, with optional LibreOffice recalculation.

mcp using PyPDF2 to: • merge-pdfs • extract-pages • search-pdfs • merge-pdfs-ordered (merge in user spec. order) • find-related-pdfs (regex extracted text for related PDF files)

Provides web automation utilities, including taking Camofox browser tab screenshots and saving them directly to local files.

Enables file reading with pagination and regex-based code search across a codebase using grep.

Gives any MCP-compatible AI chat or agent a safe, model-neutral coding runtime with file read/search, structured multi-file patches, command execution, interactive sessions, and git operations, all confined to a single workspace and gated by permission modes.

An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.

Enables searching text across configured local workspaces using ripgrep. Provides secure text search capabilities within defined workspace boundaries through both MCP server and CLI interfaces.

Adds workspace-scoped copy, move, and delete tools to DevSpace so filesystem changes are validated against workspace boundaries and protected paths instead of relying on shell cp, mv, or rm commands.