"How to create, edit, and delete a Confluence page" matching MCP servers:

MCP server for administering Atlassian Confluence Cloud wiki pages, supporting CRUD operations, page navigation, comments, attachments, and more.

Enables reading and analyzing Confluence documentation content through the Confluence REST API. Supports extracting and converting text, tables, code blocks, and images from Confluence pages for Q\&A and analysis.

Read, create, and modify Figma designs programmatically via MCP, empowering AI to execute Figma changes safer, cleaner, and faster.

MCP server for Confluence REST API enabling page retrieval, attachment downloads, space listing, comment access, and full-text search via tools.

A Confluence MCP server optimized for AI agents, enabling surgical section edits, fast page tree downloads, smart image handling, and more.

Enables text-guided image editing with 1–9 reference images, returning generated image URLs via Alibaba Cloud's Wan2.7 model.

Lightweight MCP server that crawls Confluence subtrees and serves cached Markdown, enabling search and retrieval of Confluence pages via MCP tools.

This MCP server provides unified read/write access to Jira Cloud tickets and Confluence Cloud pages, enabling search, retrieval, and updates. It automatically downloads log attachments from tickets into a shared directory for the companion Log Intelligence MCP to ingest.

An MCP server that deterministically scores landing pages on conversion-critical signals and blocks ad spend on low-quality pages to prevent wasted budget.

Enables AI assistants to interact with Confluence Cloud for managing spaces, pages, and content via the Model Context Protocol (MCP).

An MCP server for reading and writing Confluence pages in native Atlassian Document Format (ADF), enabling precise edits at the document node level without loss of formatting.

Enables interaction with Confluence Cloud pages, spaces, content, media, and navigation via natural language, with session-based editing and native macro support.

A Model Context Protocol server for Confluence Cloud that aggressively trims API responses to reduce token usage, with features like disk offload and tunable tool surface.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

An MCP server that connects AI assistants to Confluence, enabling search and fetch of pages in real time.

Enables AI agents to programmatically edit videos via FFmpeg, providing tools for probing, trimming, concatenating, timeline composition, LUT generation/application, rendering, and edit verification over MCP.

🚀 Token-efficient MCP server for Confluence. Reduces LLM costs by 76% via Markdown conversion. Supports listing, searching, and fetching pages.

Searches Reddit for answers to questions and saves Q&A sessions to Notion.

A Model Context Protocol server that integrates with Atlassian's Jira and Confluence, enabling AI assistants to interact with these tools directly through features like issue management, page creation, and content search.