A
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qualityB
maintenanceEnables Claude to write in your personal style by learning from your local documents. It provides statistical style context for natural language rewriting, all without any data leaving your machine.
MIT
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"Integrating Confluence with AI Features like Search and Summarization" matching MCP servers:
- AlicenseBqualityDmaintenanceEnables querying and retrieving content from Confluence through CQL searches and page content fetching, allowing Claude to seamlessly access information stored in Confluence workspaces.314MIT
- Flicense-qualityBmaintenanceEnables Claude Code to read and search Confluence pages, with support for images and multi-site configurations.1
- Flicense-qualityDmaintenanceAn MCP server that enables AI agents to read Confluence page content by URL, supporting self-hosted Confluence with basic auth.
- AlicenseAqualityCmaintenanceA Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.15Apache 2.0
- Alicense-qualityCmaintenanceEnables GitHub Copilot to read, write, search, and manage Confluence pages, spaces, attachments, and diagrams through MCP tools.MIT
- Alicense-qualityDmaintenanceMCP server for Confluence Cloud that enables searching, reading, managing documentation and linting for best practices.379MIT
- Flicense-qualityDmaintenanceTurns Confluence documentation into an AI-powered knowledge base, enabling natural language questions about your systems with answers retrieved from your actual documentation through semantic search.
- Alicense-qualityBmaintenanceProvides durable project context for coding agents, including project maps, session history, and explicit memories, all stored locally.746MIT
- Alicense-qualityDmaintenanceEnables semantic search across conversation archives via MCP, allowing AI clients to retrieve relevant past conversations using vector embeddings and text fallback.04ISC
- Flicense-qualityBmaintenanceA federation MCP server that sits in front of multiple memory backends and presents a unified search surface to AI agents, allowing a single query to search across knowledge graphs, session history, and web search.
- Flicense-qualityDmaintenanceFull-text search over Claude Code conversation history using SQLite FTS5, exposing indexed transcripts as MCP tools for searching, browsing, and reading turns.3
- AlicenseAqualityBmaintenanceProvides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.183MIT
- AlicenseAqualityCmaintenanceEnables keyword search, filtering, and retrieval of Claude Code memory files, reducing context overhead by fetching only relevant memories on demand.4MIT
- AlicenseAqualityBmaintenanceEnables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.32BSD 2-Clause "Simplified"
- AlicenseAqualityAmaintenanceMCP server for Yandex Wiki with full-text search. Read and write pages, comments, attachments, and dynamic tables (grids); optional server-side read-only mode for agents. Docker-ready.322Apache 2.0
- FlicenseAqualityBmaintenanceGives agents a stable interface for durable memory, combining exact, lexical, semantic, and graph search results.31
- AlicenseAqualityCmaintenanceProvides persistent session memory for AI assistants, enabling them to store, search, and retrieve conversation summaries across sessions via the Model Context Protocol.10MIT
- AlicenseAquality-maintenanceAn MCP server for managing work logs, research results, and task checkpoints to enable seamless collaboration and state recovery between AI agents. It provides a persistent memory layer for tracking project history and resuming workflows across different sessions or tools.73
- AlicenseBqualityCmaintenanceA read-only MCP server that provides document awareness for agents by parsing local files into structured profiles, blocks, chunks, and search results, enabling agents to understand and cite document content without dealing with raw file formats.5383Apache 2.0