- Retrieve detailed information for a specific archive, library, or repository from the ARCHON directory. Returns contact details (address, phone, email, website), opening hours, access requirements, disabled access information, and a list of record collections held. Use the 'id' field from archive search results.Connector
- Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.Connector
- Write new knowledge to your base. Store facts, decisions, patterns, or any information your AI should remember.Connector
- Search the ARCHON directory of 2,500+ archives, libraries, museums, and repositories across the UK. Returns repository names, addresses, and identifiers. Use the repository 'id' from results with the get_archive tool for full contact details, opening hours, and access information.Connector
- Start a compute instance / resource identified by its id - Starting a compute instance / resource is like powering on a real server. If the compute instance / resource is already started nothing will happen. You may check the current status anytime when getting information about a compute instance / resource.Connector
- Search MidOS knowledge base for relevant information. Use this as your FIRST tool to discover what knowledge is available. Returns ranked results with titles, snippets, and quality scores. Args: query: Search query (keywords or topic) limit: Max results (1-20, default 5) domain: Filter by domain (engineering, security, architecture, devops, ai_ml) Returns: JSON array of matching atoms with title, snippet, score, and sourceConnector
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Matching MCP Connectors
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
Make your knowledge agent-ready. Connect docs from Confluence, Notion, GitHub, Dropbox, or Google Drive — any AI agent searches them via one MCP endpoint. 3 retrieval modes: vector search, broad search, and full document access. The agent decides how deep to dig.