Local-first MCP server for navigating and maintaining arbitrary hierarchical documentation with flexible node structure, raw content, and multiple parents, leaving navigation decisions to the connected LLM.
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.
A Model Context Protocol (MCP) server for integrating Confluence with OpenCode. Seamlessly search, read, create, and update Confluence pages directly from your AI coding agent.
MCP server for searching Japanese corporate data including companies, financials, patents, subsidies, and government statistics via official government APIs.
Self-hosted credential store and API proxy for AI agents. One Bearer token, all your services. Handles OAuth refresh, encrypted storage, audit logging, and per-agent permissioning.
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 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.
A minimal MCP server providing a normalized API for code navigation and repository inspection through tools like symbol searching and call tracing. It enables AI agents to perform structured analysis of codebases by mapping endpoints, inspecting file trees, and tracing symbol relationships.
An MCP server that validates Japanese corporate numbers and invoice registration numbers, and normalizes/matches company names across notation variants.
Enables MCP clients to read, search, and manage a Yahoo Mail mailbox over IMAP and send or forward messages over SMTP, with multiple accounts selectable per call and writes defaulting to drafts, trash, or dry-runs until explicitly confirmed.
Enables reading and analyzing Confluence documentation content through the Confluence REST API. Supports extracting and converting text, tables, code blocks, and images from Confluence pages for Q\&A and analysis.
An MCP server that exposes documents.js's document conversion, .odb, metadata, and font tooling as MCP tools, enabling agents to convert, inspect, and edit a wide range of document formats over stdio.
An MCP server for reading and writing Confluence pages in native Atlassian Document Format (ADF), enabling precise edits at the document node level without loss of formatting.
A Model Context Protocol server that enables AI assistants to interact with Confluence content, supporting operations like retrieving, searching, creating, and updating pages and spaces.
MCP server for Confluence Server/Data Center (self-hosted) that gives LLM agents access to search, read, create/edit pages, comments, labels, and attachments via the Confluence REST API.
A Model Context Protocol server that provides secure access to Atlassian Confluence, allowing users to search, create, update, and manage Confluence pages and spaces through natural language commands.
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.