"Information about 'fetch' or related resources" matching MCP servers:

A Model Context Protocol server that enables LLMs to retrieve web content and save it to local files for permanent storage and later access.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Enables users to ask natural-language questions about a local folder's contents, including file names, sizes, and timestamps, with rollups by type and age and cleanup suggestions for stale or large files. It returns metadata only and cannot read, move, or delete files.

Reads and searches local email archives (.mbox or .eml) with full MIME parsing, enabling queries about senders, subjects, dates, and bodies while keeping all data on your machine.

An MCP server that provides surgical read/write access to individual sections of Markdown files, allowing agents to fetch, edit, or delete specific slices without touching the entire file.

Runs as an MCP server providing file system operations, shell execution, and system information tools, allowing Claude or any MCP client to edit files and control the machine.

An MCP server for interacting with MangaDex to search manga, fetch metadata, and export chapters to CBZ or PDF formats. It provides tools for manga discovery, chapter management, and local file export capabilities.

Gives mobile AI assistants a real local command-line workspace and manages Cloudflare resources (Pages/D1/KV/R2) via REST or wrangler, with credentials remaining on-device.

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)

Enables triage, installation validation, and controlled automation of X-Ways Forensics and related tools through structured MCP tools for agents.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.

MCP server that allows AI agents to read, search, summarize, and answer questions about local PDF, DOCX, XLSX, and TXT files through five tools.

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.

A Model Context Protocol server that enables Claude to fetch, process, and extract information from PDF documents, including LaTeX mathematical equations.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

MCP server for the Solid protocol enabling AI models to read, write, search, and manage resources in Solid pods.

An MCP server that enables keyword search over a local directory of documents, providing tools to search, fetch passages, and list sources without requiring external APIs or models.

Converts CAD drawings (DXF/DWG) into structured data, enabling Claude to read drawings and answer questions about their content.

Enables Claude and other LLM clients to read and write Microsoft Project files directly, covering tasks, resources, assignments, dependencies, and critical path information without needing Microsoft Project open.

A proof-of-concept MCP server that enables LLMs to read local text files and fetch real-time weather data through external tools.