"Integrating corporate Confluence with model access for search and document navigation" matching MCP servers:

A local MCP server providing read-only access to documents like Word, PDF, Excel, and images, with file listing, reading, and metadata extraction.

Enables querying corporate knowledge such as HR policies, vendor contracts, and support FAQs, with every answer grounded in an exact source and retrieval quality and hallucination rate explicitly measured.

An MCP server for integrating with the Brave Search API, and it supports HTTP proxying.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Enables page search and retrieval from Confluence using the Model Context Protocol. It allows users to search documents via CQL and fetch page content as text for use within Claude.

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

Integrates Confluence with Claude Desktop, enabling natural language search, content retrieval, and space navigation for Confluence documentation.

MCP server for searching and retrieving pages from Atlassian Confluence.

Provides a standardized protocol for tool invocation, enabling an AI system to search the web, retrieve information, and provide relevant answers through integration with LangChain, RAG, and Ollama.

MCP server enabling LLMs to query a local Calibre Content Server for ebook metadata, chapters, and content in HTML or Markdown.

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.

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

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.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Indexes local documents (PDF, Word, Markdown, text) into a SQLite database for AI agents to search and retrieve bounded, source-located passages. Runs fully locally with optional OCR, preserving privacy.

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.

Provides access to microCMS documentation, enabling AI assistants to search and retrieve the latest document content.

A local document evidence layer for MCP clients that ingests documents (PDF, Office, images) with optional OCR, indexes them in SQLite FTS, and provides retrieval tools with source coordinates.

Provides AI agents with multi-format document indexing, hybrid dense and sparse search with reranking, and relational SQL querying over extracted tables.

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.