- Gets an overview of performance metrics broken down by browser.Connector
- Gets an overview of performance metrics broken down by country.Connector
- Get an overview of a charity from the England & Wales Charity Commission. Returns the charity summary including name, activities description, contact information, and classification details.Connector
- Add an entry to the shared agent knowledge base.Connector
- Get an overview of the Second Brain: counts of notes, containers, tags, inbox items, and the 5 most recently updated notes. No parameters required.Connector
- Get an overview of the cryptocurrency market. Shows top 5 cryptos ranked by Martingale Score (0-5), with their current Startingale readings.Connector
Matching MCP Servers
- AsecurityAlicenseAqualityEnables creating, managing, analyzing, and visualizing knowledge graphs with support for multiple graph types (topology, timelines, changelogs, requirements, knowledge bases, ontologies) including node/edge management and resource association.Last updated15291MIT
- -securityFlicense-qualityA TypeScript MCP server for managing persistent knowledge graphs with entities, directional relations, and time-based observations. It enables users to create, search, and track structured information with built-in concurrency control and JSON file storage.Last updated
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.