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

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.

A Model Context Protocol server that enables AI assistants to interact with Confluence content, supporting operations like retrieving, searching, creating, and updating pages and spaces.

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

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

Enables reading, searching, creating, updating, and deleting Confluence pages and managing spaces via natural language, with automatic Markdown conversion.

Enables searching, reading, listing, creating, and updating Confluence pages via natural language in GitHub Copilot.

A Model Context Protocol (MCP) server for integrating Confluence with OpenCode. Seamlessly search, read, create, and update Confluence pages directly from your AI coding agent.

MCP server for searching and retrieving pages from Atlassian Confluence.

A Model Context Protocol (MCP) server that connects AI agents to Confluence Cloud. Agents can search, read, create, and update Confluence content — pages, comments, links, images, and labels.

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.

A FastMCP-based server that provides seamless integration with the Confluence REST API for managing spaces, pages, and content search. It enables programmatic access to Confluence data, including CQL searches and space navigation through natural language.

An MCP server for integrating Confluence with AI applications, enabling listing spaces, browsing and searching pages, and retrieving Confluence instance info.

Provides read access to Confluence Server/Data Center pages, sections, tables, and search via the Confluence REST API v1.

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 AI models to interact with Confluence knowledge bases by searching, reading, and creating pages through the Confluence REST API. It provides a suite of tools for space management, document retrieval, and content creation, including a mock mode for local testing.

Fetches and parses confluence.org point pages, returning location data such as country, nearest place, and altitude.

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

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

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

MCP server for integrating Confluence with AI agents, enabling search, read, and retrieval of documentation, plus syncing and pushing markdown files.