Retrieve comprehensive learning statistics and knowledge graph data to analyze documentation deployment patterns and repository insights.
MIT
101,361 tools. Last updated 2026-04-13 07:14
- Enhance documentation recommendations by analyzing project context and learning from knowledge graphs to improve deployment workflows.MIT
- Retrieve the folder structure, conventions, and rules for NestJS modules in LaunchFrame projects to maintain architectural consistency.
- Generate NestJS module scaffolds with service, optional controller, and entity following LaunchFrame conventions to maintain project consistency.
- Logs when new learning matches existing knowledge to track repetitions and reinforce memory retention in cognitive systems.
- Generate TypeScript backend code for Arbitrum dApps using NestJS or Express frameworks with viem integration for blockchain interaction.MIT
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Matching MCP Connectors
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.
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.