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

Provides enterprise knowledge management capabilities via MCP, enabling semantic search across the knowledge base, retrieval of full documents by ID, and search over enterprise project cases.

Retrieves indexed Confluence pages via semantic search, returning chunks, citations, and page bundles; stores embeddings in local SQLite with sqlite-vec.

Enables querying enterprise documents (DOCX, PDF, PPTX) using natural language, with hybrid search and MCP integration for Claude Desktop and other agents.

A secure, multi-tenant Model Context Protocol server that gives AI clients controlled access to enterprise knowledge bases, SQL databases, REST APIs, files, and GitHub.

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

Enables AI agents to securely search and ingest corporate documents via MCP, offering hybrid retrieval, PII sanitization, role-based access control, and citation validation.

Enables querying Confluence or Kubernetes documentation through hybrid search and an agentic RAG pipeline, returning structured answers with citations.

An MCP-based enterprise tools server that exposes company knowledge search and employee database lookup as callable tools.

Enables natural-language retrieval from enterprise policy documents via RAG, exposing search_enterprise_knowledge and get_document_sources tools.

Enables natural language queries over internal policy documents using RAG, and provides tools to search policies and check ticket status via MCP.

Turns 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.

Universal search engine for AI agents. Discover products, services, and businesses across every category. 10 MCP tools, zero LLM calls, millisecond responses.

CLI-first web and code search for agents, with MCP support for integration with IDEs like Cursor, VS Code, and Claude Code.

Enables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.

Hebbian learning MCP server with neural memory graphs, eligibility traces, and three-factor reward signals. Associative memory that strengthens through use.

MCP search and evidence tool for AI agents. Rewrites queries, zooms into source domains, and returns sourced answers with metrics.

MCP server for hybrid documentation search (keyword + vector) and RAG chat, enabling natural language queries with cited answers from indexed repositories.

Provides hybrid search (BM25 + vector) and staleness reporting for local markdown notes, exposing search and indexing tools to AI assistants via MCP.

Semantic, on-demand skill retrieval for Claude Code that saves tokens and improves skill discovery by replacing the native skill listing with vector embedding search.

MCP server for searching files on macOS by name or content using semantic and lexical search, providing file paths and line numbers for agents to read from.