Enables interaction with Confluence through CQL queries and content retrieval.
Enables AI assistants to interact with Confluence content through a standardized interface.
Provides local-first, hybrid semantic and keyword search for various document types and Confluence pages through the Model Context Protocol.
Provides prompts for retrieving Confluence page content to be used as context with AI assistants.
Integrates Confluence Wiki content with VSCode/Cursor using an MCP Server.
Enables interaction with the Confluence API through MCP.
Enables AI-powered interaction with Confluence Cloud through a Spring Boot-based Model Context Protocol server.
Integrates Confluence with AI assistants, enabling natural language interactions with documentation.
Provides a token-efficient Model Context Protocol server, enabling AI agents to browse, search, and fetch Confluence documentation while significantly reducing LLM costs.
Enables AI models, such as Claude, to securely interact with Atlassian Confluence via the Model Context Protocol.
Connects Confluence data to Claude Desktop using CData JDBC Drivers.
Publishes Markdown documents to Confluence with professional styling and Mermaid diagram support.
Facilitates chat functionality within the Confluence platform.
Integrates with Atlassian Confluence to enable custom functionality and API interactions.
Connects Confluence with various AI models lacking native Model Context Protocol support, enabling secure and intelligent access to internal knowledge bases.
Integrates GitLab merge request analysis with Confluence documentation via an MCP server.
Integrates Confluence with the Model Context Protocol to enhance context awareness and streamline documentation workflows.
Enables AI assistants to download and read attachments from Confluence pages via a Model Context Protocol (MCP) server.
Transforms Confluence documentation into an AI-powered knowledge base, enabling natural language queries via Gemini CLI.
Enables AI agents to manage Atlassian Confluence documentation, spaces, and pages through natural language interactions by bridging with its REST API.
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