"Information about MCP for Jira" matching MCP servers:

Fetches Jira attachments and returns them inline (for small images) or as local paths for larger files and other types, enabling AI models to access Jira attachments directly.

Searches and browses local Claude Code and Cowork session histories stored on your machine, enabling questions about past work without uploading data.

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.

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.

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

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.

An MCP server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface for LLMs.

MCP server to interact with Obsidian via the Local REST API community plugin.

Enables Claude to interact with FTP servers through natural language commands, allowing users to list directories, download/upload files, create directories, and delete files/directories on FTP servers.

A Model Context Protocol server for downloading Jira Cloud attachments by attachment ID to local disk. Supplements the official Atlassian MCP server which lacks attachment download functionality.

Enables MCP clients to discover OpenRouter image and video models, generate and edit images, create variations, launch and monitor video jobs, and save resulting media into authorized local project directories with cost controls.

Local MCP server for parsing Sketch exported HTML zip archives and extracting design structure information.

A read-only MCP server that lets local AI agents inspect open Mac windows, browser tabs, PDFs, clipboard contents, Finder selections, and Messages history so they can answer questions about what the user is currently viewing.

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.

TheWeave is a markdown-native memory architecture for Claude and any MCP-aware agent. Your agent's memory lives as plain .md files you own: a 5-verb MCP core over the vault, query-driven PageRank retrieval, bi-temporal facts (valid_from / valid_until), and a persona-as-vault model. No database and no embeddings server. The files are the memory, inspectable in your editor and versionable in git.

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 native Nextcloud app that exposes the instance as an MCP server so Claude and other MCP clients can read, search, and (with admin-granted permissions) edit files, notes, calendars, Deck cards, and Talk conversations. It runs inside Nextcloud with OAuth or app-password sign-in, applying each user's own Nextcloud permissions and admin-controlled per-operation grants.

A lightweight bridge extension that enables Claude Desktop to connect to VSCode workspaces via Model Context Protocol, allowing Claude to read and write files, create directories, and list contents in your workspace.

An embedded MCP server for Cocos Creator that enables AI assistants to inspect and operate running Cocos projects through tools like execute_javascript, get_project_info, and screenshot capture.

A modular framework for building and running multiple MCP servers with file operations, system information, and extensible tool/prompt/resource support.

Self-hosted server that lets ChatGPT, Grok, and stdio MCP clients read and write files, run PowerShell/CMD and interactive processes, and drive the Windows desktop through screenshots, window info, clicks, drags, and keyboard input. It connects via OpenAI Secure MCP Tunnels, an OAuth authorization-code + S256 PKCE HTTPS endpoint, or local stdio, exposing 38 tools under the user's own Windows account.

Enables a trusted operator to drive a Windows workstation remotely over OAuth-protected Streamable HTTP, running PowerShell commands and file edits with checkpoints, durable jobs, and native service support.

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.

A local MCP filesystem wrapper that previews file mutations, requires user approval, and records verifiable undo information for supported clients like Claude Desktop, OpenCode, and Codex.

Self-hosted MCP coding server and unified local Control Center for ChatGPT web, enabling file editing, command execution, Git operations, and optional upstream MCP tools with conversation access controls.

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

A TypeScript MCP server example providing basic developer tools: hello world greeting, arithmetic calculator, and file information retrieval.

Enables to perform mathematical calculations, retrieve weather information, and manage files through a standardized MCP interface, showcasing best practices for building MCP servers.

Turns your Obsidian vault into an MCP-enabled workspace with tools for reading/writing notes, managing folders, running semantic searches, and maintaining long-term memory—all while keeping data local to your vault.