"Enterprise-level Confluence search page supporting version 9.4.11" matching MCP servers:

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

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 AI coding agents to retrieve the latest stable versions of packages and tools across multiple ecosystems, preventing outdated dependency versions in generated code.

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.

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.

A production-ready framework for building enterprise-grade MCP servers featuring integrated OAuth 2.0 authentication and modular architectural patterns. It simplifies the creation of secure, standardized tools that allow AI assistants to interact with complex upstream platforms like Salesforce and NetSuite.

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.

Bridges Confluence Wiki with Large Language Models, allowing them to search, read, and explore content through automated HTML-to-Markdown conversion. It supports both local stdio and containerized HTTP/SSE transport modes for flexible deployment.

Provides read-only access to host system metrics (CPU, memory, disk), Docker container health/logs, and sandboxed log file analysis via MCP tools, enabling AI agents to monitor enterprise infrastructure safely.

A production-grade MCP server that gives AI agents safe, authenticated access to a PostgreSQL database.

MCP server for enterprise authentication and authorization — JWT validation, OIDC token inspection, OAuth 2.0 introspection, and role-based access control for AI agents.

Enables AI assistants to manage social media accounts and CRM operations, including posting, analytics, inbox management, and customer management.

A Model Context Protocol (MCP) server for Chrome Enterprise Premium that exposes DLP rules, content detectors, connector policies, browser telemetry, and license management as MCP tools, enabling any MCP-compatible AI agent to inspect and configure a Chrome Enterprise environment.

MCP server that computes trust scores, permission decisions, and silent-failure risk for AI agents with tools for reliability scoring, silent failure detection, permission evaluation, and audit report generation.