"A server for searching Confluence pages" matching MCP servers:

A server that integrates Confluence with Claude Desktop and other AI assistants, enabling natural language interactions with your Confluence documentation.

Enables creating, listing, and deleting temporary shared Markdown/HTML pages with 72-hour expiration. Supports local Node.js or Cloudflare Workers deployment with OAuth login.

A Model Context Protocol server for accessing Confluence API using Personal Access Tokens, enabling users to retrieve space lists, view pages, create new pages, and update existing content.

Enables AI assistants to interact with Confluence by converting Markdown documents to professionally styled Confluence pages with Mermaid diagram support.

A server that enables AI models to interact with Confluence Data Center through REST API, providing operations like searching, reading, creating, updating, and deleting pages.

Enables uploading and serving static websites via MCP tools, with automatic path prefix injection for multi-file sites.

Exposes two MCP tools (discover and execute) that enable agents to query an OpenAPI schema via natural language and execute matched API operations.

Enables AI assistants to create, update, delete, and search Confluence pages directly through natural language commands in Cursor, with support for space management and page history.

Enables interaction with Jira and Confluence APIs to search, create, and manage issues, pages, comments, and attachments across both Atlassian platforms.

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

Enables deployment of HTML content, folders, and full-stack projects to EdgeOne Pages to generate publicly accessible URLs. It utilizes EdgeOne Pages Functions and KV storage for high-performance edge delivery of web applications.

A model context server that provides prompts that can be used as slash commands for clients like Zed Editor, in order to add page contents as context to the AI assistant.

Fetches and renders tldr pages for commands, lists commands and platforms, and searches across page titles.

Enables retrieval of relevant context from Confluence pages using RAG and ChromaDB, integrating with code assistants like GitHub Copilot to enhance documentation queries.

A self-hosted MCP server that enables AI assistants to deploy and manage static websites directly on EdgeOne Pages platform with KV storage support.

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.

Generates API documentation in Confluence from Swagger/OpenAPI specs or NestJS controller files, including automatic Postman collection generation.

Enables users to upload, share, preview, and publish a generated HTML page from an agent, returning a stable link and version link after browser-authorized access.

A minimal MCP server template for deploying to Tencent Cloud EdgeOne Pages using Next.js and edge functions. Demonstrates tool registration and widget rendering with the hello_stat example tool.

Enables AI assistants to deploy and manage static websites directly through EdgeOne Pages. It provides a self-hosted solution for hosting website files using KV storage and managing content through the Model Context Protocol.