"Confluence Server/Data Center search and page retrieval tool" matching MCP servers:

An MCP server providing web search, image search, and page scraping tools to LLMs without requiring API keys.

Scores AI outputs for faithfulness, relevancy, and hallucination inside any MCP client, with custom metrics, golden sets, and run history with dashboards.

Enables AI agents to parse PDFs and search local document context through multimodal extraction and vector-based retrieval, all exposed as MCP tools.

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

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.

Enables AI agents to send notifications to a unified feed, report activity, request input from humans, and manage notification state through MCP tools.

Provides tools for AI agents to interact with Atlassian Confluence, enabling search, space listing, and CRUD operations on pages via natural language.

Provides a Google search tool via the Serper API, returning structured results and a summary answer for LLMs like Claude.

A FastMCP server that provides tools for querying and filtering people data from Planning Center People API, enabling access to member information, background checks, roles, and other demographic data.

Enables users to view and edit Microsoft Loop pages as interactive markdown widgets directly within the chat interface. It supports inline rendering and provides tools for requesting page updates through a host's Loop MCP server.

A Model Context Protocol server that enables AI assistants like Claude to access and search Atlassian Confluence content, allowing integration with your organization's knowledge base.

Enables AI agents to fetch, crawl, extract, and search web content through a unified set of tools, with automatic routing to specialized backends.

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.

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables scheduled AI workflows to route notifications to QQ and Telegram via REST, MCP, or Gmail, with retries and audit, without the relay calling paid LLM APIs.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

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

Syncs Confluence spaces to local files for efficient editing by coding agents, with tools for reading, writing, searching, and managing Confluence pages and attachments.

Provides structured visual analysis tools for coding agents, enabling UI analysis, screenshot comparison, OCR, and crop-based refinement through VLM.

Enables AI agents to discover and execute tools via a secure MCP server with JWT authentication, RBAC, rate limiting, and audit logging.