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

MCP server for administering Atlassian Confluence Cloud wiki pages, supporting CRUD operations, page navigation, comments, attachments, and more.

Enables robot navigation control and monitoring through natural language. Provides tools for robot positioning, navigation to coordinates, device status monitoring, task management, and emergency controls.

MCP server for searching Japanese corporate data including companies, financials, patents, subsidies, and government statistics via official government APIs.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Enables AI interaction with Microsoft Access and SQLite databases to perform SQL queries, updates, and data management. It supports importing and exporting data via CSV and Excel files and includes tools for managing human-readable notes about database files.

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.

MCP server for Confluence REST API enabling page retrieval, attachment downloads, space listing, comment access, and full-text search via tools.

A Confluence MCP server optimized for AI agents, enabling surgical section edits, fast page tree downloads, smart image handling, and more.

Enables interaction with Confluence through a unified API using the Model Context Protocol, providing tools for managing Confluence content and services.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

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.

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.

An MCP server for integrating Confluence with AI applications, enabling listing spaces, browsing and searching pages, and retrieving Confluence instance info.

Downloads Confluence Cloud pages as Markdown with images, preserving folder hierarchy and providing YAML frontmatter.

MCP server for document conversion and processing, enabling AI assistants to handle various document formats.

MCP server for bidirectional Markdown-to-Confluence sync, enabling download and publish of Confluence pages as Markdown with images, frontmatter tracking, and dry-run safety.

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.

Enables AI assistants to search, retrieve, and manage Confluence pages, and generate weekly status drafts from Jira activity.